Top Engineering Machine Learning Jobs

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. 

Where and how you can work

Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And with that you will have choice in how you work. That means if you want to do your thing in the office (if you're nearby), at home or a bit of both, it's up to you.

Fun fact - our Austrian team actually started out as Kaleido before being acquired by us in 2021. Kaleido's product team develops visual AI products, that make complex things simple for users. Now, together we deliver visual AI features within Canva to help reimagine how artificial intelligence can be used in design. We think it's a perfect match. 

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

At the moment, this role is focused on:

• Taking the lead in unveiling and mastering innovative tools vital for the effective handling of our extensive training data. You'll get the chance to deepen your expertise in data management while making a substantial impact on our operations.
• Bringing together diverse data sources into one central storage hub. This task will stimulate your problem-solving skills and facilitate our data processing flow.
• Crafting and implementing automated systems for pre-processing data, ready for machine learning application. It's an opportunity to streamline our operations and increase efficiency, delivering tangible improvements to our team's workflow.
• Developing robust algorithms for effective data filtering. Your algorithms will help refine the quality of our data, directly impacting the efficiency of our machine-learning models and improving our powerful image generation capabilities.
• Continually learn and adapt to the evolving business needs, shaping your role as you grow with Canva. Flexibility and adaptability will be key to our collective success. 

• You have several years of experience in producing high-quality Python code with a focus on concurrency and serving
• You are knowledgeable about working with cloud service providers such as AWS or GCP
• You experienced working with Computer Vision/Image processing frameworks such as OpenCV and container technologies like Docker and Kubernetes
• You bring proficiency in data management and preprocessing.
• You have extensive experience in automation and algorithm development and understand bias mitigation in AI
• You have exceptional analytical skills and thrive in an agile environment.

Joining our team, you'll become a part of an invigorated, energetic group focused on advancing Canvas vision through innovative machine-learning solutions. We are a tight-knit collective of machine learning engineers dedicated to crafting an image-generation model that not only keeps up with but leads the current state of the art. Our team proudly undertakes this task with meticulous attention to safety, ethics, and bias, and is responsible for ensuring the training of our model on fully licensed images. The work we do has a significant and direct impact on Canva, contributing to our ongoing success as a global leader in design technology. We are pushing the boundaries of what is possible, and in the process, shaping the future of design and creativity. We invite you to be a part of our mission and contribute to the ripple effect of Canva’s success.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Please note that interviews are conducted virtually. 

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. 

Where and how you can work

Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And with that you will have choice in how you work. That means if you want to do your thing in the office (if you're nearby), at home or a bit of both, it's up to you.

Fun fact - our Austrian team actually started out as Kaleido before being acquired by us in 2021. Kaleido's product team develops visual AI products, that make complex things simple for users. Now, together we deliver visual AI features within Canva to help reimagine how artificial intelligence can be used in design. We think it's a perfect match. 

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

At the moment, this role is focused on:

• Developing and maintaining a platform, which allows experimentation on state-of-the-art models, training of complex deep learning models, and efficient inference
• Supporting machine learning practitioners, in areas of expertise such as Python serving, container technology, or advanced PyTorch
• Collaborating with other global platform teams to build a consistent experience for all users
• Using the latest machine learning technology and accelerators

• You have a solid grasp of engineering and are committed to delivering tools of high quality and reliability.
• You are a good communicator and a team player and are eager to work together with your colleagues to brainstorm ideas
• You have a strong interest in exploring diverse subjects and the latest developments in technology

We create the foundation that allows machine learning practitioners to build the next magical feature for Canvas worldwide user base. We evaluate, choose or build tools and technologies to make machine learning simple, fast, and cost-effective. Our team champions best practices in code quality and machine learning performance. Together with talented machine learning engineers, we strive to push the boundaries of what's possible, constantly innovating and improving our processes to deliver exceptional user experiences.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Please note that interviews are conducted virtually. 

About Us:

Docsumo is a Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We are work with clients such asPayU, Arbor and Hitachiand backed bySequoia, Barclays, Techstars, and Better Capital.

We are looking for a Machine Learning Engineer to help us create & deploy machine learning solutions. As anMLEngineer you will be part of a team deploying state-of-the-art machine learning models built by our Data Scientists. You will be working directly with the CTO to develop end to end API products for the US market in the information extraction domain.

Responsibilities

• Apply Data Science concepts to solve routine problems of target users.
• You will be designing and building systems that help Docsumo process visual data i.e. as PDF & images of documents.
• Experience with training and fine-tuning machine learning models on large text datasets.
• You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.
• You will get to learn the ins and outs of building core capabilities & API products that can scale globally.
• Should have hands-on experience applying advanced statistical learning techniques to different types of data.
• Should be able to design, build and work with RESTful Web Services in JSON and XML formats. (Flask preferred)
• Produce clean, efficient code based on specifications
• Should follow Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives.

• Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
• Working with OpenCV, TensorFlow and Keras
• Working with Python: Numpy, Scikit-learn, Matplotlib, Panda
• Familiarity with Version Control tools such as Git
• Familiarity with ML frameworks and libraries
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system.
• Team player, an ability to work cooperatively with the other engineers
• Ability to make quick decisions in high-pressure environments with limited information.
• Outstanding analytical and problem-solving skills
• Must be self-motivated, flexible, collaborative, with an eagerness to learn

Work locations:

Mumbai/ Bangalore/ Kathmandu & WFO 3 days a week

About Yassir

Yassir is the leading super App for on demand, ride-hailing, last-mile delivery, payment services and more, set to change the way daily services are provided. It currently operates in 45 cities across multiple countries. It has raised $150 million in Series B funding, five times what it raised in its previous priced round last November with world class investors such as BOND and Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others. 

We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.

ABOUT THE ROLE

In this role, you will be part of our data science and engineering team, working on ML-based algorithms for real-time decision making to power our on-demand and payment marketplaces which involve real-time order demand, delivery and merchant supplies. This will include real-time algorithms and working closely with software engineers for integration and deployment.

TASKS

• Set up and manage our AI development and production infrastructure.
• Help business stakeholders understand the potential and limitations of AI when planning new products.
• Build data ingest and data transformation infrastructure.
• Identify transfer learning opportunities and new training datasets.
• Build AI models from scratch and help product managers and stakeholders understand results.
• Deploy AI models into production.
• Create APIs and put results of your AI models into operations.
• Keep current of latest AI research relevant to our business domain.
• Ensure the performance, quality, and responsiveness of applications
• Collaborate with a team to define, design, and ship new features
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and automatization
• Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products.
• Work with the engineering and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution
• Dive into difficult problems and successfully deliver results on schedule

• At least 1-year of experience in a similar role
• Demonstrated proficiency in Python for machine learning
• Experience in building machine learning models and leveraging pre-trained models in platforms such as Keras, TensorFlow or Theano.
• Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects.
• Outstanding written & verbal communication skills. You can break down and explain complex machine learning initiatives and trade-offs to a non-tech audience
• Outstanding project management skills and leadership abilities. You are ready to build and grow a machine learning team
• Comfortable working in an entrepreneurial environment with a demonstrated ability to prioritise, self-start, contribute under pressure, and meet tight deadlines
• Experience in a rapidly growing company in the mobility, on-demand or fintech space is a plus
• BSc/MSc in Engineering, Computer Science, or relevant field. MS degree and above preferred

• Great compensation and bonuses including stock options.
• Ground floor opportunity with the team; shape the strategic direction of the company.
• Sharp, motivated co-workers in a fun office environment.
• Full social coverage.

• Ground floor opportunity with the team; shape the strategic direction of the company.
• The rare opportunity to change the world around you such that everyone around you is using the product you built. We’re not just another app, we’re infusing social values and reinventing how services are provided.
• Sharp, motivated co-workers in a fun office environment.

*As a company, we are passionate about diversity and inclusion, 40% of our team are women leaders in the tech sector. Research shows that women do not apply for jobs if they do not meet all of the requirements. We would like to hear from you if you feel you would be a good fit for us!

Do you want to become part of our first-class team? Then you absolutely have to send us your application. 🚀

PS: And if you want to stand out in your application, just let us know in your cover letter why we should have in our team. 💡

Diversity & Inclusion & Engagement: 

We celebrate diversity and are committed to creating an inclusive environment for all employees, as we believe diverse teams are more successful in the long term. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, and we encourage all people equally to apply for jobs with us.

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. 

Where and how you can work

Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And with that you will have choice in how you work. That means if you want to do your thing in the office (if you're nearby), at home or a bit of both, it's up to you.

Fun fact - our Austrian team actually started out as Kaleido before being acquired by us in 2021. Kaleido's product team develops visual AI products, that make complex things simple for users. Now, together we deliver visual AI features within Canva to help reimagine how artificial intelligence can be used in design. We think it's a perfect match. 

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

At the moment, this role is focused on:

• You'll get the opportunity to lead large-scale experiments in the cloud, working closely with our skilled platform team to craft efficient tooling solutions.
• You'll play a strategic role in pushing highly parallelized workloads in the cloud, enhancing both the efficiency and effectiveness of our operations.
• Drive the adoption of best practices in MLOps, including version control, testing, continuous integration, and deployment.
• Keep abreast of the latest advancements in machine learning and MLOps technologies, and be proactive in suggesting improvements and new techniques that can enhance the team's capabilities.

• You have several years of practical experience working with modern data platforms (both cloud and on-premise), with experience delivering data-centric solutions.
• You have knowledge in Python, Pytorch, Docker, Kubernetes, AWS, databases, etc.
• You have a strong sense of ownership and are eager to find and develop novel solutions to challenging problems proactively.
• You are a strong communicator and a team player and are eager to work together with your colleagues to brainstorm ideas.

As Senior MLOps Engineer, you play a crucial role in driving Canva's mission to empower the world to design. Our team is at the forefront of developing cutting-edge machine-learning solutions that have a significant impact on Canvas products and services. We collaborate closely with talented machine learning engineers, and product teams to build and deploy scalable, efficient, and reliable machine learning pipelines. Together, we strive to push the boundaries of what's possible, constantly innovating and improving our processes to deliver exceptional user experiences. By joining our team, you will not only contribute to Canvas success but also help shape the future of design and technology.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Please note that interviews are conducted virtually. 

As machine learning intern, you will be designing and building systems that help Docsumo process visual data. Photographs or scan of documents all rich with information if only we could teach a computer to interpret them. 

You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps. We take a product-centric approach to research & development, working closely with our customers to identify opportunities and putting as much care into product design as raw capability.

Requirements

• Course work / online degrees in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification, etc.
• Must be enrolled in a full-time degree in Computer Science or similar (Statistics/Mathematics)
• Team player who can take responsibility for anything from fixing the office internet to making a sales pitch to CEO of a company. We believe in the ideology that “Buck stops with me”. 
• Hands-on experience applying advanced statistical learning techniques to different types of data.
• Working with Python: Numpy, Scikit-learn, Matplotlib, Pandas
• Working with OpenCV, TensorFlow and Keras
• Ability to understand the business problem, identify the key challenges, formalize the problem algorithmically, and prototype solutions.
• Consistent track record of documenting, synthesizing, and communicating results.
• Ability to design, build and work with RESTful Web Services in JSON and XML formats. (Django and/or Flask preferred)
• Familiarity with Version Control tools such as Git
• Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system
• Must be self-motivated, flexible, collaborative, with an eagerness to learn

About Us:

Docsumo’s Document AI platform empowers enterprises to scale operations effortlessly by capturing, validating and analyzing unstructured documents. We leverage state-of-the-art methods from Computer Vision, Natural Language Processing, Multimodal AI, and Deep learning to extract actionable data from documents like invoices, bank statements, tax forms. We are working with marquee clients such as PayU, Arbor and Hitachi and are backed by Fifth Wall, Common Ocean, Sequoia, Barclays, Techstars, and Better Capital.

As a Machine Learning Intern, you will be joining a dynamic and distributed team of 15+ Data scientists and Machine learning engineers. You can try out the free trial version of Docsumo to get a better picture of our Document AI platform: [https://app.docsumo.com/signup](https://app.docsumo.com/signup)

Responsibilities:

• You will work in our Machine Learning org, a close-knit group of scientists and engineers who collaborate to build new ML-powered systems from whiteboard sketches to APIs.
• You will work on applied ML projects to improve our platform’s Document AI capabilities.
• You should have the ability to understand the business problem, identify the key challenges, formalize the problem algorithmically, and prototype solutions

• Deep learning: PyTorch, Tensorflow, Training Neural Network models
• Machine learning: Classification, Regression, Scikit-learn, Numpy, Pandas, Scipy
• NLP: HuggingFace, Attention, Transformers, BERT, Text classification
• Computer Vision: OCR, OpenCV, CNNs, Pretrained image models
• Software engineering: Python, Git, AWS, Google Cloud, Docker, Database
• Behavioral: Must be self-motivated, team player, resourceful, eager to learn, have a growth mindset, and able to get things done.
• Strong Github profile with experience working on a variety of ML projects

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. 

Where and how you can work

Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you. 

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

About the Team You’ll be Joining

Our mission is to empower Canva to build Design AI magical product experiences which include supporting the needs of all Design AI teams from dataset perspective, doing R&D work ourselves, as well as immediate feature delivery. The Applied Scientists working in the Design Enablement team are responsible for researching and developing AI/ML solutions for the user-facing features, such as AI-assisted design generation and editing, at Canva in the Design AI space. 

2023 is an incredible time to join the team. Design AI is one of the key strategic initiatives for Canva. Our team is small but growing rapidly. We build models that would be core of user experience, and support MLEs across many teams from platform prospective. 

We are looking for Applied Scientists with a research and machine learning background and knowledge of large language models (LLMs), and who thrive in fast-paced high-energy environments, to help us support Design AI projects through applied R&D - identify the data needs and using the said data to research and develop an AI solution for a Design AI feature.

What you will do

• Identify data requirements for solving Design AI problems
• Research and develop custom ML/AI solutions for Design AI tools and features
• Integrate existing ML solutions to Design AI pipeline, when necessary
• Work together with machine learning engineers (MLEs) to productionize ML models at scale
• Collaborate with other Applied Scientists and MLEs at Canva and share knowledge in Design AI

• More than 3 years of Industry experience in researching and developing ML/AI models
• Good understanding of transformers, generative models, such Stable Diffusion, a variety of LLMs, etc.
• Strong understanding of Computer Science/Engineering fundamentals and first principles covering system design, data structures, architecture, and design patterns
• Strong coding proficiency in Python
• Good understanding of the life cycle of machine learning models
• Familiarity with ML technologies like Jupyter Notebook
• Strong communication skills to document and present ideas clearly and to share knowledge across Canva

• Preferred:
• Coding proficiency with SQL
• Experience with Snowflake
• Familiarity with ML technologies like Airflow, Argo workflow, Mlflow, Sagemaker
• Familiarity with the CI/CD concepts, the life cycle of web applications

• Flexible daily working hours, we value work-life balance
• Breakfast and lunch prepared by our wonderful Vibe team
• Onsite-Gym and Yoga Membership
• End-of-Trip Facilities: Bicycle parking and showers
• Generous parental (including secondary) leave policy
• Pet-friendly offices
• Sponsored social clubs, team events and celebrations
• Relocation budget for interstate or overseas individuals (see below for visa information)

If you're seeking professional growth and enjoy working on large, distributed, cloud-based applications that delight our millions of individual and business users alike - then apply now to be considered for the position!

If you require visa sponsorship, you must ensure you have at least two (2) years of post-University commercial experience as a Software Engineer and meet the mandatory sponsorship requirements laid out by Department of Home Affairs.

We will not accept or review any CVs from external recruitment agencies.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Please note that interviews are conducted virtually. 

We are looking for an Engineering Manager, NLP & Deep Learning to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.

You will:

• Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
• Management: Take a leadership role in our hiring and onboarding processes. You will develop your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
• Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
• Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind

• 4+ years working as a professional developer
• 2+ years working as an engineering team manager
• Experience hiring and building motivated engineering teams
• Strong experience with Python and programming fundamentals
• Extensive experience working with NLP (including NER) and PyTorch
• Experience with data engineering and machine learning design patterns and best practices
• Experience shipping machine learning into distributed, data-intensive production systems
• Strong to communicate and collaborate cross-functionally
• Worked on projects that have gone from proof-of-concept through multiple maintenance stages

Benefits and Perks: 

An engaging remote-first culture 

A great compensation package that includes BenchSci equity options

15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year

Unlimited flex time for sick days, personal days, religious holidays

Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services

A $2000 CAD* Annual Learning & Development budget

A $1000 CAD*  home office set-up budget

A $2500 CAD*wellness, lifestyle and productivity spending account for employees  

Generous parental leave benefits with a top-up plan or paid time off options

*Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.

About BenchSci:

BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. 

Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.

Our Culture:

BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. 

We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. 

You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible.  Learn more about our culture.

Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey.  Learn more about our DEI initiatives.

Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.

#LI-Remote

About Us:

Docsumo’s Document AI platform empowers enterprises to scale operations effortlessly by capturing, validating and analyzing unstructured documents. We leverage state-of-the-art methods from Computer Vision, Natural Language Processing, Multimodal AI, and Deep learning to extract actionable data from documents like invoices, bank statements, tax forms.

We are working with marquee clients such as PayU, Arbor and Hitachi and are backed by Fifth Wall, Common Ocean, Sequoia, Barclays, Techstars, and Better Capital.

As a Senior Machine Learning Scientist, you will be joining a dynamic and distributed team of 15+ Data scientists and Machine learning engineers. You will be working directly with the Head of Machine Learning and the CTO to develop end-to-end APIs and data products for clients in the US market.

You can try out the free trial version of Docsumo to get a better picture of our Document AI platform: [https://app.docsumo.com/signup](https://app.docsumo.com/signup)

Responsibilities

• You will work in our Machine Learning org, a close-knit group of scientists and engineers who collaborate to build new ML-powered systems from whiteboard sketches to finished APIs
• You will conduct innovative research and apply it to build scalable ML systems and APIs for intelligent document processing
• You will manage a small team of data scientists and machine learning engineers
• You will plan new projects for your team and take full ownership of the deliverables

• Must have a Master’s or a PhD in relevant quantitative disciplines like Computer Science, Statistics, Machine Learning, Physics, Mathematics, Quantitative Finance or Biology etc.
•  Master’s candidates should have 4+ years industry experience and PhD candidates should have 2+ years industry experience working in machine learning, deep learning, NLP, Computer vision etc. in product startups, tech companies, industry R&D groups etc.
• 1-2 years experience in leading and managing a team of 4-5+ ML scientists and engineers
• Proven ability to scope out a research idea and implement it end-to-end from raw data to API
• Deep learning: PyTorch, Tensorflow, Training DNNs, Transfer learning, Model optimization
• Machine learning: Classification, Regression, Scikit-learn, Numpy, Pandas, Scipy, Visualization
• NLP: HuggingFace, AllenNLP, Attention, Transformers, BERT, GPT3+, Text classification
• Computer Vision: OCR, OpenCV, CNNs, Pretrained image models, Multimodal AI
• Software engineering: Python, Git, AWS, Google Cloud, Docker, Kubernetes, Agile, Sprints
• Behavioral: Must be self-motivated, team player, resourceful, eager to learn, have a growth mindset, and able to get things done

Work locations:

Mumbai/ Bangalore/ Kathmandu & WFO 3 days a week

About Yassir

Yassir is the leading super App for on demand, ride-hailing, last-mile delivery, payment services and more, set to change the way daily services are provided. It currently operates in 45 cities across multiple countries. It has raised $150 million in Series B funding, five times what it raised in its previous priced round last November with world class investors such as BOND and Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others. 

We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.

We are seeking an Operational Research Engineer to join our team at Yassir to work closely with

our ML and Data science teams on the next generation of our dispatch and Dynamic surge

systems.

The successful candidate will be responsible for developing and maintaining our dynamic surge

and dispatch systems, ensuring that they are optimized to deliver the best possible experience to

our customers and drivers.

Key Responsibilities

• Develop and implement models and algorithms for predicting demand patterns and driver availability in real-time, using statistical analysis and machine learning techniques.
• Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to design, implement, and improve the surge and dispatch systems.
• Analyze and interpret data to identify opportunities for improving the efficiency and effectiveness of the pricing and dispatch systems, and develop and execute experiments to test hypotheses.
• Build and maintain tools and dashboards to monitor system performance and identify issues proactively, and work with other teams to resolve any problems that arise.
• Stay up-to-date with the latest research and industry developments in operational research and transportation, and apply best practices and innovative solutions to improve the surge and dispatch systems

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Operations Research, or a related field. (PhD in Operational Research is a big plus)
• Strong experience in developing and deploying predictive models and algorithms in a production environment, using languages such as Python or R.
• Experience with optimization and simulation techniques, including linear programming, integer programming, and Monte Carlo simulation.
• Excellent problem-solving and analytical skills, with the ability to derive insights from complex data and communicate them effectively to different stakeholders.
• Knowledge of transportation and logistics concepts and their application to operational research problems is a plus.
• Experience with big data platforms such as Hadoop and Spark is a plus.

At Yassir, we value diversity and encourage candidates from all backgrounds to apply. If you are

passionate about using operational research to improve the performance of transportation

systems, and want to work on challenging problems with a team of talented and motivated

individuals, we would love to hear from you.

*As a company, we are passionate about diversity and inclusion, 40% of our team are women leaders in the tech sector. Research shows that women do not apply for jobs if they do not meet all of the requirements. We would like to hear from you if you feel you would be a good fit for us!

Do you want to become part of our first-class team? Then you absolutely have to send us your application. 🚀

PS: And if you want to stand out in your application, just let us know in your cover letter why we should have in our team. 💡

Diversity & Inclusion & Engagement: 

We celebrate diversity and are committed to creating an inclusive environment for all employees, as we believe diverse teams are more successful in the long term. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, and we encourage all people equally to apply for jobs with us.

Our mission is to power the future of fan engagement. 

Simplebet is a B2B sports technology company that uses machine learning and real-time solutions to make every moment of every sporting event a betting opportunity. We’re reimagining how people enjoy sports with products that are simple, intuitive, and entertaining.  Our technology powers micro-betting capabilities of the leading operators around the globe.

Simplebet is looking for a Machine Learning Engineer to build and support the machine learning models and infrastructure that power our micro betting experiences. As we grow our business to cover new sports, new betting markets, and new sportsbook partners, you will be integral in ensuring that we are providing our partners with best-in-class sports betting models.

We’ll Trust You To:

• Build machine learning models to predict sports outcomes and power sports betting markets
• Contribute to systems that support the full machine learning lifecycle, including research, iteration, model deployment, low-latency prediction, and model observability
• Design and implement mathematical solutions that enable accurately pricing novel sports betting markets

• 4+ years of experience as a Machine Learning Engineer, Data Scientist, or Software Engineer
• Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch, SHAP)
• Strong software engineering skills and experience implementing scalable machine learning solutions in production
• A passion for sports (e.g. NFL, MLB, NBA)
• Strong understanding of statistics and machine learning

• Experience working across data and product teams
• Experience with machine learning observability and explainability
• Experience with Databricks
• Projects involving creative analysis of sports data
• Experience in sports betting

• Competitive salary, vacation, and equity commensurate to experience
• Health, dental, and vision insurance
• 401k match
• Starting base salary is $150,000, but may vary depending on experience.

Simplebet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Please let us know if you require reasonable accommodation for the interview process, and we will make every effort to provide it.

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. 

Where and how you can work

Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And with that you will have choice in how you work. That means if you want to do your thing in the office (if you're nearby), at home or a bit of both, it's up to you.

Fun fact - our Austrian team actually started out as Kaleido before being acquired by us in 2021. Kaleido's product team develops visual AI products, that make complex things simple for users. Now, together we deliver visual AI features within Canva to help reimagine how artificial intelligence can be used in design. We think it's a perfect match. 

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

In this role, you'll be in a key position to make our ambitious goals in the image generation space happen. By using cutting-edge AI/ML techniques, you'll help deliver an incredible AI-powered content generation experience to our users. Talking about users: With us, you work on a huge scale. Our global design community has created more than 15 billion designs in Canva, and your work will be loved by more than 135 Million monthly Canva users.

Tasks

• Work on image-generation AI models that will be used by more than 135 million users every month and make a global impact.
• Stay on top of the rapidly evolving state-of-the-art within the image generation space and, more generally, in visual AI. Reading papers and evaluating them for our team goals is a key part of your job.
• Study best practices, develop untried approaches, work on prototypes and evaluate their performance.
• Customize and fine-tune open image generation models like Stable Diffusion with technologies such as LoRA, ControlNet, Hypernetworks, and your own ideas.
• Experiment on large-scale cloud infrastructure (GCP and AWS) with high-end hardware, being mostly NVIDIA A10 and A100 Tensor Core GPUs, together with our ML Ops specialists.
• Analyze internal and external data sources, and generate, collect, and prepare data with commercial licensing in mind. Collaborate with our internal data generation team as well as with external partners.
• Set up data augmentation pipelines and perform hyper-parameter searches to build production-ready AI solutions that meet the quality requirements of photo editing effects in Canva.
• Be part of our On-call rosters. At Canva, we believe a healthy on-call culture enables and empowers our engineers to give our users the best possible experience.

• You have a Master's (ideally Ph.D.) degree in Computer Science (or similar), focusing on machine learning. Published papers in peer-reviewed journals and conferences would be a valuable addition.
• You have a solid understanding of computer vision, especially the concepts of convolutional neural networks (CNNs), transformers, and diffusion models.
• Proficiency with the following technologies is required to be set up for success in this position: Deep learning frameworks such as PyTorch and Tensorflow (we use PyTorch), Python 3, Numpy, OpenCV, Docker & Kubernetes.
• You have a solid understanding of modern software engineering principles, Python 3 classes and inheritance, multithreading, testing, and QA to write clean code.
• Nice to have: Experience with javascript, node.js, react, typescript, and (WebGL) shaders to build prototype GUIs.
• Our projects require picking up knowledge of the state-of-the-art of a specific ML topic quickly since most projects start with a phase of literature research and communicating the context to the team (across timezones).
• You have an excellent sense of ownership and like to find and develop novel solutions to challenging problems proactively.
• You are an exceptional communicator and team player, eager to work with your colleagues to brainstorm ideas.
• To be employed by Canva for this role, you need to live and work from a country where Canva has an entity set up - you can find all our office locations here.

We are required by law to state the minimum salary for this position, which is at least EUR 60,000 gross per year. We pay competitive salaries - depending on your qualifications and experience - and you also get to participate in the company’s stock option program.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Please note that interviews are conducted virtually. 

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. 

Where and how you can work

Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you. 

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

Almost 100% of our users will interact with Search and Recommendations Group features every time  they come to Canva. We are responsible for the AI, Machine Learning, Infrastructure, & User Experience that powers many parts of Canva’s core product experience. 

Our work is the key discovery mechanism to promote and expose Canva’s content to current and potential users. Without good discovery, users will never know we even have content!

Once you’ve settled in and have a comfortable grasp of the product, environment, and processes, you’ll get to tackle more responsibility and start leveraging your previous experience — bringing new insights to the table concerning everything from feature development, process improvement, and product suggestions. Your day to day activities will consist of solution design and hands-on software development – working closely with leads, designers, and product managers to deliver features and functionality to our customers all over the world. 

Some of the key capabilities we own/contribute include:

• Running & deploying our core search & recommender indexes & services
• Improving our ML rankers across search & recommendations
• Integrating AI technologies into our ranking & content understanding capabilities
• Building the amazing search & recommendations experience in the editor & marketplace
• Building the private search experience - similar to Google Drive
• Iterating on our generative design product - Magic Design

• Experience in using machine learning / data science to conceive, implement and deploy product features (especially in search/recommendations)
• Experience in quick validation of new ideas via prototypes and solid measurement of benefit via experiments (especially in search/recommendations)

• Query understanding
• Natural language processing
• Machine learning in search
• Data analysis in search
• Recommendation models

• Flexible daily working hours, we value work-life balance
• Breakfast and lunch prepared by our wonderful Vibe team
• Onsite-Gym and Yoga Membership
• End-of-Trip Facilities: Bicycle parking and showers
• Generous parental (including secondary) leave policy
• Pet-friendly offices
• Sponsored social clubs, team events and celebrations
• Relocation budget for interstate or overseas individuals (see below for visa information)

If you're seeking professional growth and enjoy working on large, distributed, cloud-based applications that delight our millions of individual and business users alike - then apply now to be considered for the position!

If you require visa sponsorship, you must ensure you have at least two (2) years of post-University commercial experience as a Software Engineer and meet the mandatory sponsorship requirements laid out by Department of Home Affairs.

We will not accept or review any CVs from external recruitment agencies.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Please note that interviews are conducted virtually. 

Join the team redefining how the world experiences design.

Hey, g'day, mabuhay, kia ora,你好, hallo, vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. 

Where and how you can work

Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And with that you will have choice in how you work. That means if you want to do your thing in the office (if you're nearby), at home or a bit of both, it's up to you.

Fun fact - our Austrian team actually started out as Kaleido before being acquired by us in 2021. Kaleido's product team develops visual AI products, that make complex things simple for users. Now, together we deliver visual AI features within Canva to help reimagine how artificial intelligence can be used in design. We think it's a perfect match. 

What you’d be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.

In this role, you'll be in a key position to make our ambitious goals in the AI-based photo editing space happen. By using innovative deep-learning techniques, you'll help deliver magical photo editing tools to our users, allowing them to edit the whole image or just a part of it. Talking about users: With us, you work on a huge scale. Our global design community has created more than 15 billion designs in Canva, and your work will impact the lives of more than 135 Million monthly Canva users.

Tasks

• Work collaboratively as part of a team of machine learning engineers, frontend engineers, backend developers, designers, and quality assurance engineers to develop, implement, and improve Canva AI features such as Auto-Adjust, Smart Crop, Magic Eraser, and Magic Edit that will be used by more than 135 million users every month and make a global impact.
• Take ownership of the ML projects you are working on (refer to above’s list of established AI features): We have many novel products in our pipeline that we can’t write about publicly right now :-). You will be driving the planning of the project and iterating on the AI features to achieve the best and most magical solution possible in order to foster innovation at Canva.
• Staying updated on machine learning trends is crucial for your role. It ensures that the features we release in Canva empower users to design and edit photos using the latest technology and gives Canva an enthusiastic edge in a constantly evolving technological landscape.
• Study best practices, develop untried approaches, work on prototypes, e.g. for latent diffusion-based photo editing or for object detection and instance segmentation, and evaluate the performance.
• Experiment on large-scale cloud infrastructure (GCP and AWS) with high-end hardware, being mostly NVIDIA A10 and A100 Tensor Core GPUs.
• Analyze internal and external data sources, and generate, collect, and prepare data with commercial licensing in mind. Collaborate with our internal data generation team as well as with external partners.
• Set up data augmentation pipelines and perform hyper-parameter searches to build production-ready AI solutions that meet the quality requirements of photo editing effects in Canva.
• Implement automated testing and suitable metrics to monitor the performance of our AI features in production.
• Be part of our On-call rosters. At Canva, we believe a healthy on-call culture enables and empowers our engineers to give our users the best possible experience.

• You have a Master's (ideally Ph.D.) degree in Computer Science (or similar), focusing on machine learning. Published papers in peer-reviewed journals and conferences would be a valuable addition.
• You have a solid understanding of computer vision, especially the concepts of convolutional neural networks (CNNs), transformers, generative adversarial networks, and diffusion models.
• Proficiency with the following technologies is required to be set up for success in this position: Deep learning frameworks (Pytorch gives bonus points, other frameworks like Tensorflow or JAX), Python 3, Numpy, OpenCV, Docker & Kubernetes.
• You substantially understand modern software engineering principles, Python 3 classes and inheritance, multithreading, testing, and QA to write clean code.
• You are familiar with convolutional neural networks for tasks such as image classification and segmentation: As a visual AI company, we primarily work with images and videos.
• Nice to have: Experience with JavaScript, node.js, react, typescript, or (WebGL) shaders to prototype new AI features in our internal, flexible, and easy-to-use testing environment.
• Our projects require picking up knowledge of the state-of-the-art of a specific ML topic quickly (Example 1, Example 2) since most projects start with a phase of literature research and communicating the context to the team (across timezones).
• You have a proven sense of ownership and are eager to find and develop novel solutions to challenging problems, such as developing ML models for processing large images (having up to 24 megapixels) in a memory-efficient and runtime-efficient manner proactively.
• You are an excellent communicator and teammate, keen to work with your colleagues and brainstorm ideas together.
• To be employed by Canva for this role, you need to live and work from a country where Canva has an entity set up - you can find all our office locations here.

We are required by law to state the minimum salary for this position, which is at least EUR 60,000 gross per year. We pay competitive salaries - depending on your qualifications and experience - and you also get to participate in the company’s stock option program.

What's in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work.

Here's a taste of what's on offer:

• Equity packages - we want our success to be yours too

• Inclusive parental leave policy that supports all parents & carers

• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

• Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Check out lifeatcanva.com for more info.

Other stuff to know

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

Please note that interviews are conducted virtually. 

We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.

You will:

• Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
• Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
• Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
• Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind

• 4+ years working as a professional developer
• 2+ years working as an engineering team manager
• Experience hiring and building motivated engineering teams
• Strong experience with Python and programming fundamentals
• Extensive experience working with NLP (including NER) and PyTorch
• Experience with data engineering and machine learning design patterns and best practices
• Experience shipping machine learning into distributed, data-intensive production systems
• Strong experience collaborating cross-functionally
• Worked on projects that have gone from proof-of-concept through multiple maintenance stages

Benefits and Perks: 

An engaging remote-first culture 

A great compensation package that includes BenchSci equity options

15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year

Unlimited flex time for sick days, personal days, religious holidays

Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services

A $2000 CAD* Annual Learning & Development budget

A $1000 CAD*  home office set-up budget

A $2500 CAD*wellness, lifestyle and productivity spending account for employees  

Generous parental leave benefits with a top-up plan or paid time off options

*Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.

About BenchSci:

BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. 

Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.

Our Culture:

BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. 

We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. 

You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible.  Learn more about our culture.

Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey.  Learn more about our DEI initiatives.

Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.

#LI-Remote

About AKASA

Our mission is to enable human health.  

AKASA is the leading developer of AI for healthcare operations. Founded in 2019, AKASA has raised $85M in funding and has grown to more than 200 employees.  

Our founding team includes Silicon Valley leaders who have founded or been founding team members of multiple companies with successful exits. Our investors include Andreessen Horowitz, BOND, and Costanoa Ventures, among others. Recognized in 2021 among Top 150 “Most Innovative Digital Health Startups” by CB Insights, Top 75 “Best Places to Work” by Modern Healthcare, Certified as a “Great Place to Work” two years in a row, and ranked #34 of Top 100 Healthcare Companies in 2021 by The Healthcare Technology Report. Learn more at www.AKASA.com.  

We are building the future of healthcare with AI.  Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic selves to work.  

Join us.  

About the Role

As a remote Senior Machine Learning Engineer, you'll report to our Engineering Manager, Machine Learning and work with machine learning PhDs from top schools (e.g., Stanford, Cornell, UC Berkeley), and experienced machine learning engineers from top companies (e.g., Google, Facebook, Amazon). You will put machine learning into practice, so your code directly affects our customers immediately. You will work with large proprietary medical and clinical datasets containing both structured documents, natural language and images.

AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside within the US.

What You'll Do

•  Participate in developing state-of-art machine learning solutions to address large scale healthcare problems
• Design and build pipelines that collect, preprocess, and deliver data with a measurable quality
• Write production-ready software with fast and efficient algorithms
• Develop state-of-the-art machine learning algorithms across computer vision, natural language understanding, and structured data problems to solve problems like medical document entity extraction and claim outcome prediction
• Own machine learning services from end-to-end, including problem discovery, data pipeline development, model experimentation, and service deployment
• Help build new machine learning prediction delivery systems - all of our products are built from the ground up with machine learning at their core, enabling us to deploy our predictions in new and interesting ways
• Opportunity to quickly make an impact and becoming a leader on the ML team

• Master's degree in Computer Science or similar
• 5+ years of work experience in machine learning or data engineering
• Have experience launching production systems from the ground up
• Proficiency in one or more programming languages such as Python and C++
• Development experience with big data technologies such as SQL and AWS/Cloud Platform
• Knowledge of machine learning frameworks such as Pytorch and/or Tensorflow
• Full-stack development experience for an end-to-end machine learning solution
• Ideal experience with Natural Language Processing or Computer Vision

• Unlimited paid time off (PTO)
• Expansive coverage for health, dental, and vision
• Employer contribution to Health Savings Accounts (HSA)
• Generous parent leave policy
• Full employee coverage for life insurance
• Company-paid holidays
• 401(K) plan

• Based on market data and other factors, the salary range for this position is $175,000-$230,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.

AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.

AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.

About Yassir

Yassir is the leading super App for on demand, ride-hailing, last-mile delivery, payment services and more, set to change the way daily services are provided. It currently operates in 45 cities across multiple countries. It has raised $150 million in Series B funding, five times what it raised in its previous priced round last November with world class investors such as BOND and Y Combinator, which is the precursor of the likes of Airbnb, Stripe, Dropbox, Doordash, among others. 

We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.

MISSIONS PRINCIPALES :

Le Data Analyst crée, gère et analyse les données en grandes quantités produites par l’outil de gestion de la relation client (CRM) de l’entreprise, pour les rendre exploitables et guider les choix de l’entreprise vis-à-vis de ses marchés principalement.

TÂCHES :

• Identifier les sources de données et les extraire,
• Mettre en place une base de données et la mettre régulièrement à jour,
• Synthétiser et organiser les informations pour les rendre lisibles,
• Optimiser la segmentation client avec des données de consommation,
• Définir la cible des campagnes marketing,
• Déterminer les tendances d’achat et de consommation.

• BAC +5 en école d’informatique ou Master spécialisé,
• Expérience de minimum 5 ans dans un poste similaire,
• Maîtrise des outils statistiques et des technologies spécifiques au big data,
• Pratique de l’anglais,
• Communication : capacité à comprendre les besoins et transmettre ses idées,
• Capacité à se former seul, en connu, sur les plateformes et les forums en ligne,
• Esprit d’analyse.

*As a company, we are passionate about diversity and inclusion, 40% of our team are women leaders in the tech sector. Research shows that women do not apply for jobs if they do not meet all of the requirements. We would like to hear from you if you feel you would be a good fit for us!

Do you want to become part of our first-class team? Then you absolutely have to send us your application. 🚀

PS: And if you want to stand out in your application, just let us know in your cover letter why we should have in our team. 💡

Diversity & Inclusion & Engagement: 

We celebrate diversity and are committed to creating an inclusive environment for all employees, as we believe diverse teams are more successful in the long term. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, and we encourage all people equally to apply for jobs with us.