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Voiceflow is the leading collaborative conversational AI platform. Our collaboration platform makes it easy for conversational AI product teams to quickly design, test, ship and iterate on conversational assistants - together, faster, at scale.

Assistants designed and built with Voiceflow span hundreds of use cases, from drive thrus to in-car assistants, call centres and more. Voiceflow is loved by over 80,000 global teams with some of the world’s largest companies as customers including Google, BMW, US Bank, McDonalds, JP Morgan, Spotify, Amazon, Home Depot, Best Buy, John Hopkins, and thousands of others.

We’re biassed of course, but we think we’re building one of the coolest products in the world. Put this claim to the test and try out Voiceflow’s free version yourself - give it a try!

Joining a new company is one of the biggest decisions we all make in life as we’re investing our most important resource - our time. At Voiceflow, we’re investing our time here because we believe in an inevitable future where many of the conversations we have with brands everyday will be increasingly automated. If that’s the future we’re all going to be a part of, then the world needs Voiceflow to ensure the teams building these conversational experiences have great tools to craft great experiences. Think of us like the Adobe creative suite for the growing world of conversational AI. You can learn more about our vision of the future here.

We’ve raised $25M USD the past 2 years from some of the world’s best investors including Felicis, Craft, True, Amazon, Google & CEOs of Figma, Webflow, Eventbrite, InVision, Product Hunt, and more. We’re a small, fast growing remote team of around 35 team members from around the world, composed of dedicated and talented individuals with a core focus on engineering and product.

About the Role

We are looking for a Staff Software Engineer to join our team building and maintaining our backend APIs in Node/Typescript. Our team is responsible for providing a core set of services (Service Oriented Architecture, SOA) such as authentication and billing concerns. We also manage a runtime for assistant conversations and Content Management Service (CMS) workflows.

The runtime powers the designs created from our canvas tool, it acts essentially a visual code interpreter to handle the flow of conversation. Inside we build interfaces into and interact with various AI tools such as our Natural Language Understand (NLU) and Large Language Model (LLM) backends to help drive the conversation.

This role requires strong knowledge of TypeScript and Node, as well as best practices and patterns for designing and implementing APIs using REST. You should understand how to organise code into modules: knowing what domain it should cover and the data it should own. Understanding and breaking down problems from product as well as engineering in order to create technical designs is crucial. You should know how to balance trade offs and justify decisions. What details as an engineer can you bring to this project? What are your blindspots?

Our team's stack revolves around the NestJS framework and includes: TypeScript, Node, PostgreSQL, MongoDB. We work inside a monorepo powered by Turborepo. You can read about some of the articles we’ve written about our platform: How Voiceflow uses monorepos, Building Voiceflow’s Engineering Platform.

What you'll do

• Assist in the development of server side backend written in NestJS
• Implement new resources, APIs, and manage data flow between various systems
• Help architecture new services and extend conversational capabilities
• Implement automated testing platforms and unit tests
• Work with product and design in planning meetings to choose strategy for the platform
• Mentor other team members, oversee code quality, evangelize best practices
• Discuss and create internal libraries and establish code patterns
• Own, expand, and provide input on architecture, testing patterns

• An expert in backend engineering with Typescript and Node.js
• Familiarity with version control systems like Git.
• Familiarity with SQL & NoSQL databases (PostgreSQL, MongoDB, Redis)
• Ability to understand and break down problems into actionable tasks
• Familiarity with high level clean code design ideas
• Humility to learn, grow and share knowledge

• Application - All candidates will hear back, either to move ahead and schedule an interview or to let you know we aren't moving ahead. No ghosting!
• Role Screening Call - a 30-minute call with Tyler (Platform Lead) to learn more about the role, our company and align on expectations for the role.
• Culture Screening Call — a 30-minute call with Brett (Recruiting) to share more about Voiceflow, our team & culture, and learn about you.
• Technical Interview 1 — a 60-minute call with Tyler (Platform Lead) and Pedro (SWE3) focusing on technical breadth and depth
• Take Home Assignment — a small task to showcase your skills and understanding
• Technical Interview 2 — a 60-minute call with Tyler (Platform Lead) and Pedro (SWE3) for a dive into your assignment
• Final Interview — you’ll have the chance to meet with Braden (CEO) and or Ty Han (CTO) to learn more about the future of Voiceflow.
• Offer — this is the part where we all celebrate!

For more than 20 years, PointClickCare has been the backbone of senior care. We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform. 

With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey.

For more information on PointClickCare, please connect with us on Glassdoor and LinkedIn.

Position Location:

Greater Toronto or open to remote work arrangements

Position Summary:

Are you a self-starter looking to join a fast paced, dynamic company with the intrinsic value of knowing you are giving back to the community and changing lives?  Are you a skilled lawyer with broad commercial experience gained at a reputable firm or as in-house counsel?  Then look no further, PointClickCare is the place for you! 

Reporting to the Associate General Counsel, your primary duties would include assisting with general commercial matters, including, but not limited to, the drafting and negotiating of services, new product and technology-related agreements, including master services agreements, partnership agreements, confidentiality agreements, business associate agreements, SaaS agreements, data protection agreements, software licenses, subcontractor agreements, supplier agreement, and related statements of work.

Required Skills and Experience:

• JD and active member of an applicable law society or a U.S. state bar
• 3-5 years of experience
• Experience independently negotiating complex business transactions on deadlines
• Demonstrated capacity to actively solve complicated legal and business problems
• Flexibility to assist the Legal Department in its activities and its mission as needs arise
• Keen judgement, integrity and tact
• Strong analytical skills and attention to detail
• Strong written and verbal communication
• Self-starter/ability to work independently/solutions driven
• Persuasive, influential and collaborative
• Strong client service orientation
• Experience and interest in process improvement, legal tech and prompt engineering an asset

• Health care information technology licensing
• SaaS licensing
• Canadian and U.S. information privacy compliance
• Canadian and U.S. health care regulatory compliance (with a focus on HIPAA, PHIPA and provincial equivalents)

#LI-TW1

#LI-Hybrid

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com 

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.

We are looking for a Senior Systems Administrator to join our Internal Systems Team. Reporting to the IT Manager, you will partner with internal departments and ensure they are set up for success. You will offer best-in-class support for our user base and provide the tools they need to get their job done. 

We are welcoming applicants in the GTA  for this position.  

You Will:

• Serve as a point of escalation for the IT team
• Monitor and maintain systems and services to ensure proper functionality
• Build, streamline, and maintain systems for provisioning/deprovisioning (eg. Mobile device management)
• Administer, set up integrations, and create automations in our SaaS application stack which includes but is not limited to: Google Workspace, Slack, Zoom (meet, rooms, and phone), Atlassian, 1Password, Monday.com, Guru, HubSpot, GitHub, Google Cloud Platform, Okta
• Develop integrations for systems that do not have pre-built solutions
• Create solutions to reduce request volume to the IT team (Automation, self-service, self-help, etc).
• Administer and troubleshoot macOS, Windows, and Linux systems

• 8 years of experience working as a System Administrator
• Experience working with Google Workspace, Slack, Okta and Zoom
• Experience working in a fast-paced startup environment with competing priorities and tight deadlines
• A structured approach to problem-solving
• Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences
• Ability to self-direct and carry out assigned tasks with minimal supervision
• Knowledge of Linux, macOS, and Windows - O/S install, user management, networking, and troubleshooting

• Okta Certified Administrator
• Google Professional Cloud Architect
• AWS Certified SysOps Administrator
• CompTia Security+
• Jamf 200-400
• Cisco CCNA

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

GALE is a Business Agency that brings its insights to brand storytelling and activates it across every channel. With expertise in business strategy, media, CRM, brand communications, performance marketing and technology, GALE creates integrated marketing systems and communications that grow businesses. Founded in 2014, the agency has since been named Ad Age Data and Analytics Agency of the Year and Adweek’s Breakthrough Media Agency of the Year.

We work with Chipotle, Hard Rock, MilkPEP, H&R Block, Dropbox, Hertz and more. If you’re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you!

GALE has nine offices around the world, including New York, Toronto, Los Angeles, Austin, Denver, Kansas City, London, Bengaluru and Singapore. GALE embraces a hybrid, flexible workplace with employees asked to attend the office three days per week. 

As a global agency, we are currently hiring across multiple locations within North America, please apply today to learn more. You can check our office locations here.

Your Impact

We are looking for an experienced Senior Associate to add to our in-house primary consumer and customer experience research team. 

As a Senior Associate, Consumer Insights, you will be joining a small-but-mighty team of experienced quantitative and qualitative researchers. You will work closely with Senior Managers in the Consumer Insights team to design and draw insights from a wide variety of marketing research methodologies. You will take the lead on day-to-day management of in-flight projects, ensuring we get the data we need, on time and on budget. 

You will be staffed on multiple projects concurrently, ensuring a fast learning curve. You’ll build skills in breaking down client business problems, using various analytics platforms and processes to identify relevant solutions, and distilling recommendations into engaging storylines. 

From project to project, you may find yourself collaborating with – and learning from – peers and leaders from other domains at GALE, including Data Science, Marketing Strategy, User Experience Design, Media Planning and Performance Analytics.  You will get a chance to try your hand at projects as diverse as Cluster Analysis to inform target audiences, Segment Personification to inform creative briefs, and Journey Mapping to inform user experience designs.  

What you will be doing?

• Sitting in on briefs with senior account leaders as they fill in the team on the next big business challenge GALE has been hired to help with
• Spitballing with Managers in the Consumer Insights team about different research approaches to fill insight gaps and test hypotheses 
• Getting familiar with a range of custom research methodologies, analytics platforms and syndicated data sets
• Leading desk research to recommend how to tailor survey methodologies/questionnaires to our client's industries and business challenges
• Getting our research platforms set up and ready to invite participants to research – including programming surveys in Alchemy, uploading user testing tasks into Usertesting.com, preparing Zoom links with recording and transcription services to conduct one-on-one interviews
• Coordinating with research panel partners to recruit research participants to our studies, and manage their performance at meeting critical timelines and quotas
• Generating progress reports on in-flight research projects, flagging any potential delays, data anomalies or emerging insights and hypotheses along the way
• Downloading data reports and conducting initial segmented analyses, to get Insights, Strategy and Media teams thinking about recommended actions for clients
• Fielding clarification questions from peers in Data Science about questionnaire design to inform how they structure and model the data
• Working with Consumer Insights and Marketing Strategy managers to define client-ready cuts at data and visualizations in slides; populating said slides
• Helping to build a culture at GALE by participating in local office social events, lunch and learns, and welcoming/onboarding even newer hires.

• Just when you think you’ve explored the data enough, you get to thinking about another cool nugget of insight you’re sure awaits you behind the next pivot of the pivot table
• You’re on a quest to discover the (sometimes elusive) truth, even if it’s a bit different than the going hypothesis
• You meticulously QA surveys that you program, ensuring error-free launch 
• You produce accurate analysis in Excel and colleagues trust that they can shape recommendations based on your work 
• You present data in aesthetically pleasing, clearly understood formats, always with proper labelling
• You take detailed notes when feedback is offered from team members and clients, and independently incorporate these into deck iterations or follow-up data cuts
• You know how to “smell test” initial data pulls and provide explanatory context behind suspect top line findings, such as sample bias or low statistical confidence
• You ask questions and build your understanding of clients’ business context and research scope, to hone your intuition about what to highlight in analysis
• You are excited to go beyond reporting the findings, to help brainstorm what it means for clients’ business
• You are keen to share insights in formats beyond tables and charts, from day-in-the-life customer journey vignettes to infographic persona profiles
• You are mindful of the needs of internal and end clients to meet budget and timing targets; you keep the team apprised of potential hiccups or delays, before you are asked
•  You appreciate that the research respondent experience is itself a customer experience and you take care when designing research and recruitment plans 
• Ideally you have at least a few years of experience in Marketing Research or a related field, on the supplier side.   

• Experience programming surveys in platforms like Qualtrics, Survey Monkey or Alchemer
• Experience with research methodologies for the following business challenges: customer segmentation, brand positioning, marketing campaign measurement, user experience testing 
• Functional knowledge of syndicated consumer datasets and analysis platforms (such as YouGov, Resonate, GlobalWebIndex), or cross-tab analysis platforms that work with multiple datasets (such as SPSS, Telmar)
• Experience managing ongoing insights “communities” 
• Familiarity with tools commonly used by peers in other analytics domains, such as R or Python by Data Science; web analytics tools, media analytics tools

Our Commitment to Inclusion

We believe in inclusivity and do our best work when people with diverse perspectives, backgrounds, and skills are brought together. Our Core Values are at the root of GALE’s collaborative environment and help to foster a strong community. Our Code of Conduct, Human Resources policies, and executive investment in inclusion further support and protect GALE’s inclusive workplace. GALE is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. 

Our Hiring Process

We want you to be just as discerning in making your next career move as we are finding great talent to join our team. Our interview process will allow you to meet a range of people from various disciplines and domains both virtually and in person. Please discuss with our recruiters if you require any accommodations throughout the process to help enable a smooth interview.

We believe small businesses are at the heart of our communities, and championing them is worth fighting for. We empower small business owners to manage their finances fearlessly, by offering the simplest, all-in-one financial management solution they can't live without.

About the role

We are looking for a Machine Learning Engineer who will strengthen our capacity to improve the scalability, maintainability and adaptability of our ML practice. This individual will be part of the ML team and report to the Director of Data.

The ML team is responsible for developing machine learning models as point solutions for our functional and product stakeholders within the business. We leverage MLOps to accelerate and systematize model development and the management of machine learning infrastructure.

Machine Learning is part of Wave’s wider Data function, and works closely with Data Engineers, Analytic Engineers, and Data Analysts who comprise the Analytics and Data Operations and Platform groups. Our collective strength as a Data Team comes from our relationships and close collaboration, enabling us to drive strategic and operational decision-making, and to advocate the data vision at Wave.

Here’s how you will make a difference

• Work closely within an Agile team of fellow ML Engineers and collaborate with Wave stakeholder teams to build and deploy models that address business objectives, solve complex problems, and simplify the lives of our small business customers.
• Apply your expertise to analyze and engineer features using vast amounts of data from multiple sources. Train and deploy models in production, monitor them for quality and adapt them as the data and business contexts evolve.
• Automate and maintain a system architecture that supports machine learning in processing more features, training and deploying more models, and observing batch and real time inference at scale.

• You have 3+ years of hands-on experience implementing and maintaining production machine learning systems.
• You possess a strong foundational knowledge in machine learning, and have trained and tuned a range of classification models using algorithms such as decision trees, gradient boosting, naive bayes, SVMs.
• You’re extremely comfortable with Python and SQL, and very familiar with AWS, Amazon SageMaker and Docker. Our stack includes SageMaker pipelines, Model Registry, AWS CodePipeline, Step Functions, CircleCI, S3, Redshift, Looker, as well as MLflow, DataDog, StreamLit for monitoring and performance checking.
• You have practical knowledge of MLOps and can build pipelines that train, tune and deploy models triggered by code changes, model degradation, and statistical drift.
• Practical knowledge and experience with natural language processing, large language models, vector databases and LLM frameworks like LangChain are a bonus.

• You’re self-motivated and have the ability to work autonomously. We count on you to get your work done, in ambiguous conditions, with tight deadlines, while still producing high-quality work. It’s fun, we promise!
• You are all about collaboration. You’ll be working within ML and Data, and with different teams across Wave. It’s not going to work if you don’t see the value of different perspectives.
• You are a stellar communicator. This means you know how to translate technical terms into non-technical language that is easy to understand.

At Wave, you’re treated like the incredible human being you are. 

Work From Where You Work Best: We will always have a welcoming, energizing, and world-class office (in Toronto) with a space for you. Or, if you’re more comfortable working from home, the choice is yours.

We Care About Future You: You will stretch yourself and you will grow at Wave. You will also be supported on this journey with diverse learning experiences, educational allowances, mentorship, and so much more.

We Support the Full You: We make a serious investment in your health & wellness. When we think about benefits we think about body, mind, & soul and we take this stuff very seriously. 

We Take Care of the Fundamentals: Fair compensation, all the office perks you’d want, and the various goodies you’d expect from a growing tech company. This is the obvious stuff, but we don’t want you to think we forgot!

We believe that a diverse and inclusive culture creates the best workplace. We embrace our differences, value individuality, and the broad spectrum of every Waver's skills and abilities. We challenge each other from a place of respect and pursuit of continuous growth. We trust each other and encourage everyone to bring their authentic selves to work, everyday. As Wavers, our voices matter, our opinions are met with an open mind. The best ideas win, no matter whose they are.  Contributing to an inclusive culture is a part of all of our job descriptions. 

We’ve been continuously recognized as one of Canada's Top Ten Most Admired Corporate Cultures and one of Canada’s Great Places to Work in categories including Technology, Millennials, Mental Health, Inclusion and Women.  

Are you ready to be a Waver? Join us!

About Us

Deep Genomics is a biopharmaceutical company that aims to revolutionize drug development by leveraging expertise in artificial intelligence (AI) to decode RNA biology. Our proprietary platform, the AI Workbench, enables us to decode the enormous complexity of RNA biology to find novel targets, mechanisms, and molecules that are not accessible through traditional methods. We use this advanced technology to develop steric-blocking oligonucleotides (SBOs) that achieve expression increase for the treatment of genetic disease. Founded in 2015, our multidisciplinary team includes expertise in a diverse range of disciplines including those found in a traditional drug company, as well as machine learning, laboratory automation, and software engineering.  Deep Genomics is located in Toronto, Ontario and Cambridge, Massachusetts.

Where You Fit In

We are seeking an experienced machine-learning researcher to help us develop and expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. You will work with an interdisciplinary team of scientists and engineers to apply and adapt cutting-edge deep-learning techniques to problems in computational biology and chemistry that are critical to our mission.

What you will do:

• Develop ML models for predicting the effects of genetic variants and oligonucleotide drugs.
• Identify new opportunities for applications of ML in the drug-development process and engage in collaborations with researchers from other disciplines.
• Devise computational experiments to probe the biological significance and interpretation of predictions from neural networks.
• Present research findings and ideas to internal stakeholders as well as the external research community through talks, poster presentations, technical blogs etc.

• A Ph.D. in a technical field or equivalent practical experience.
• Extensive practical experience in systematically designing, training, debugging, and evaluating large neural networks using modern frameworks such as Tensorflow, PyTorch, JAX etc.
• Strong knowledge of machine learning and its mathematical foundations including linear algebra, bayesian reasoning, and vector calculus.
• Excellent scientific writing and presentation skills.

• Experience with machine learning applied to problems in biology, chemistry, or physics.
• Proven track record of publications at top-tier venues.
• Post-graduate experience (postdoc or industry).

• A highly competitive salary and meaningful equity compensation (ESOPs)
• A wide array of company-paid benefits
• Exceptional opportunities for learning and growth working alongside a world-class team of researchers and software developers working at the intersection of the most exciting areas of science and technology.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.    

Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Overview:  

Appen is entering a new phase of growth with the advent of Generative AI and LLM technology. We are seeking strategic thinkers with a passion for AI to assist us develop strategies and effective operations for our AI products and service offerings. We are also looking for candidates with an ownership mindset who are eager to assume responsibility for work streams from beginning to end. This is an opportunity to work closely with the leadership team and experienced operators bringing new products and services to market. 

Responsibilities

• Develop and refine the organization's strategic plan for AI & LLM technology, in collaboration with a broad set of teams. 
• Conduct in-depth analysis of AI industry trends, market dynamics, and competitive landscapes to inform strategic decision-making and identify areas for growth and improvement. 
• Provide support to the team throughout the strategic planning process, including research, analysis, and report writing. 
• Work as a cross-functional thought partner and strategic resource to internal teams in sales, solutions, delivery and product. 
• Prepare executive-level presentations and reports to communicate strategic recommendations, findings, and updates to senior leadership and the board of directors. 

• MBA or equivalent experience 
• 2 years of experience in strategic planning, consulting, or partnership development 
• Strong analytical and problem-solving skills. 
• High level of ownership and grit
• Excellent written and verbal communication skills
• Ability to work independently and as part of a team
• Strong presentation skills
• Passion for AI technologies

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

At ProteinQure, we are building a computational platform for design of protein therapeutics. Our mission is to help to create a world where drugs are engineered, not discovered. We work on treatments for cancer, diabetes, asthma, and cardiovascular diseases, among others, and partner with industry leaders in drug discovery to generate novel therapeutics outside of the conventional chemical space.

Our technology combines computational biophysical models with statistical and machine learning approaches to enable us to search across vast spaces of protein therapeutics. We build and deploy these computational modules using a scalable cloud computing infrastructure and complement their predictions with results from wet lab experiments. We utilize advanced computing architectures based on high-performance GPUs, TPUs and investigate novel methodologies in biophysical modelling and quantum computing.

ProteinQure is a seed-stage company and has raised its seed round of USD $4M led by top Silicon Valley and Canadian investors. 

We're looking for a Machine Learning Lead to join our team in Toronto (Canada). You should think about joining us if you enjoy the balance of creating state-of-the-art machine learning algorithms but being evaluated by real-world impact. Our deliverables are molecules, not models. This is a player-coach role and will require a contribution to individual projects as well as managing a growing team.

ProteinQure is an interdisciplinary team and you will interact with world class experts in a variety of domains.

Responsibilities

• Perform research and development of new methods for learning from protein sequence and structure datasets
• Unsupervised learning of protein/peptide sequence representation to assist in downstream machine learning engineering within the platform
• Development of supervised learning algorithms for protein structure prediction, protein-protein interaction prediction, and protein property prediction. This includes ML/Data Science models such as Gaussian processes, logistic regression etc in the context of creating new drugs.
• Work with data sets that are diverse in type and size (sparse data sets, 3D models, amino acid sequences, structural features)
• Work side-by-side with chemists, biologists, and software engineers to develop drug candidates
• Create culture and processes for machine learning team which balances research with applications
• Help build and manage a small ML team (2-3 others) in the context of a large computational R&D company

• Peer-reviewed publications on applications of machine learning in biology, or new methods in natural language processing or geometric deep learning
• Experience with biology
• Experience working with developers with distributed version control (Git)
• Management experience
• Startup experience

• 2+ years work experience
• Have been part of machine learning team in a non-academic setting or deep experience with protein structure
• Willing to work at Toronto office 4 days a week

Benefits at ProteinQure include medical, dental and vision insurance and health spending account, which you can use on gym memberships or massages. We believe in enabling our employees to be their most productive selves - from extremely ergonomic chairs to standing desks and powerful, portable laptops. Employees are encouraged to buy (and get a refund for) equipment, books, or whatever tools that would make their work life easier. 

The office is situated in downtown Toronto, with plenty of great restaurants nearby. Toronto is a great cultural hub (film festivals, theatres, museums and concerts) and supports active lifestyle (amateur sports leagues, waterfront beaches, surfing or even (ice) climbing). Canadian nature offers options for calming retreats and the country is very diverse, welcoming and open to newcomers. 

The team composition is roughly 40% software engineers and data scientists, 40% computational biologists, medicinal chemists (including experimentalists performing experiments in wet lab) and 20% business and administration. 

Celebration of diversity of all forms is embedded in our culture. Great work is the result of diverse thinking and experiences and we have a workplace where those differences can thrive. Over two thirds of the team was born outside of Canada.

Collaborative learning is at heart of what we do at ProteinQure - we have weekly lunch and learns (often with guest lecturers from outside of the company), attend (and organize!) meetups and hackathons and educate each other about best practices. We support our employees and sponsor attendance to conferences or professional events (up to $3000 a year). 

Ownership of work is fundamental to way we operate. People will encourage you to problem solve and figure out how to best deliver results. You’re completely free to take vacation (and run errands) as long as you are responsible and performing. The last thing we want to do is micromanage our team. We try empower our employees, trust them to deliver and hold them accountable. 

Our hiring process consists of three steps:

• Introductory call (30 min) - we want to get to know you, understand your motivations and needs. This is a chance to ask questions about the company!

• Technical interview (60 min) - Video (optional). We ask questions to understand your background a little bit better than your CV or GitHub profile can tell us.

• On-site interview (3 hours) - We try to be flexible on the timing of the on-site. If you are not from Toronto area, we’ll cover the travel and accommodation expenses.

* References

We will give you our decision within 5 business days of the on-site interview. For the international candidates, we sponsor visas and help with relocation. 

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 Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are seeking a seasoned, strategic, and hands-on Director of AI with a particular passion for Large Language Models (LLM) to lead our global, distributed team of Data Scientists and Machine Learning Engineers.

The ideal candidate will have extensive experience in AI, Data Science, and applied Machine Learning, with a focus around Generative AI. As a key member of our leadership team, you will work closely with the highest-level company executives, influencing and navigating the strategic direction of the company.

Your role as an exemplary practitioner will involve driving the design and deployment of cutting-edge generative models and AI solutions, as well as mentoring the team. 

Key Responsibilities

• Lead, mentor, and manage a global, distributed team of Data Scientists/Machine Learning Engineers. 
• Work closely with company executives to influence and steer the strategic direction of the company's AI initiatives, with a particular focus on generative AI. 
• Drive the design, development, and deployment of cutting-edge generative models and AI solutions. 
• Foster a culture of innovation, continuous learning, and improvement within the team. 
• Collaborate with cross-functional teams to understand business requirements and guide the team to provide data-driven solutions. 
• Effectively communicate complex quantitative analyses and AI strategies to executive stakeholders and non-technical team members. 

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field. Advanced degree preferred. 
• 8+ years of industry experience in AI, Machine Learning, and Data Science with at least 3 years in a leadership role. 
• Proven experience in leading, managing, and mentoring high-performing data science teams. 
• Deep knowledge and hands-on experience in Machine Learning, Data Science, and particularly Generative AI. 
• Proficiency in Python and familiar with libraries like Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch etc. 
• Knowledge of SQL or similar database management systems. 
• Experience with cloud platforms such as AWS, Google Cloud, or Azure. 
• Demonstrated leadership skills with the ability to thrive in a fast-paced, startup-like environment, navigating complex decisions and driving impactful outcomes. 
• Proven experience with Large Language Models (LLM).
• Excellent problem-solving skills, strategic thinking, and a proactive approach to challenges. 
• Exceptional communication skills, with the ability to explain complex concepts to a non-technical audience and influence top-tier executives. 

• Extensive experience with generative models such as GANs, and techniques like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN). 
• Extensive experience in building, deploying, and managing production-ready generative models and machine learning models. 
• Proven track record of successfully delivering generative AI projects from inception to deployment. 
• Demonstrated ability to effectively lead and work in a distributed, global team setting. 
• Proven experience in strategic planning and business development, with the ability to drive AI initiatives that align with the company's strategic goals. 

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally. 

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As a Solutions Architect for our rapidly expanding AI products and services, you will guide our customers and partners to achieve tangible data-driven outcomes through our innovative products, helping customer teams to integrate our services into their ecosystem. You will work closely with our sales and product teams, acting as a technical advisor and a customer advocate.

In your role as a Solutions Architect, you will be an AI & LLM expert, leading clients through the adoption of our technologies, including hands-on building of technologies. As a Solution Architect, you'll manage all technical aspects of technical demos, POC’s and MVP’s, developing new solutions based on our AI product and services portfolio.

• Degree in Computer Science, Information Systems, Engineering, or equivalent experience
• 5+ years of experience working with enterprise customers, providing engineering, infrastructure, and technical guidance
• 5+ years in a technical role delivering projects in Data Science/Machine Learning, with a preference for LLM technology.
• Strong interest in Generative AI and LLM products
• Coding experience (Python, R, Java, Spark, Scala or SQL)
• Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Hadoop, Spark, on-premise, and cloud)
• Knowledge of machine learning libraries and techniques
• Experience in pre-sales or post-sales role with external clients across various industry markets
• Excellent writing and communication skills, with the ability to demonstrate technical concepts and present to a wide range of audiences
• Comfort in designing and implementing architectures within a public cloud (AWS, Azure or GCP)
• Exposure to big data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Willingness to travel

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.