Top Product Engineering Jobs

Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. 

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.

The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.

Are you passionate about applying state-of-the-art AI algorithms to real-world use-cases? Do you enjoy building end-to-end AI architectures that optimize or revolutionize existing processes? 

Are you fascinated by the new possibilities that Generative AI, Transformer models, and LLMs are creating to change the world?

We are looking for exceptionally talented and experienced individuals who have a proven track-record of working collaboratively with cross-functional internal and external teams, to identify opportunities and to lead the development of AI architectures in different industries that we target such as energy, manufacturing and utilities. The ideal candidate has a proven track-record for identifying repeatable patterns, to scale vertical solutions horizontally across industries. 

What You'll Do

• Drive architecture and design patterns for various AI and ML related models, and services as part of Cognite Data Fusion SaaS platform
• Collaborate closely with cross-functional internal teams, including product management, engineering and program management, and external partners and stakeholders, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
• Passion for applying state-of-the art AI algorithms to real-world problems.
• Stay up-to-date with the latest developments in AI and related fields, evaluate new developments and technologies for potential integration into existing and future architecture

• You understand the overall architecture of Transformer models, including LLMs
• You understand how to leverage multiple ML models in tandem 
• You are familiar with modern techniques for Language Understanding, Computer Vision, and other Machine Learning and AI technologies 
• You're excited about working on a local and global team of engineers, researchers, and product managers.
• A Masters degree in Computer Science, Electrical Engineering or related fields with focus on AI and machine learning. PhD is highly preferred. 

• 7+ years of industry and research experience in Artificial Intelligence and Machine Learning
• Experience with AWS, Google or Azure is Required

• Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. 
• We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. 
• We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! 
• And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader!

• Competitive Compensation including base plus bonus
• 401(k) with 4% employer matching
• Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
• Unlimited PTO + flexibility to enjoy it
• 18 Company Holidays including the week between Christmas & New Years
• Paid Parental Leave Program
• Employee Stock Purchase Program (ESPP)
• Employee Referral Program
• Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices
• Join a team of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
• A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
• Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
• Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
• Paid mobile phone and WiFI
• A pet lover? Get the chance to meet Spot 🐶!

Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 

We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.

About Highspot

Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.

About the Role 

Our Machine Learning Team is developing next-generation AI capabilities for Highspot’s leading sales enablement platform.  We stay at the forefront of machine learning research, continuously improving our models and algorithms through collaboration with product and data science teams. Our mission is to help our customers unlock the power of machine learning, including Generative AI, to improve productivities, sales performance, and achieve their business goals. We are looking for a Senior Machine Learning Engineer to join us in this effort.

What You'll Do

• Collaborate with product and scientist teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability.
• Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings.
• Develop highly-available distributed services and APIs.
• Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills
• Partner cross-functionally across all of HighSpot feature engineering crews, as well as with QA/DevOps/Site-Reliability.

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of experience in developing and/or deploying machine learning systems
• 5+ years of experience with distributed systems, REST API design & development
• Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.)
• In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing
• Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases
• Strong problem-solving skills and ability to analyze complex data sets.
• Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders
• An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals.
• Comfortable with modern open source technologies and tools.
• Passion to learn new technologies and infrastructure.

Highspot offers the following employee benefits for this position:

- Comprehensive medical, dental, vision, disability, and life benefits

-Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP)

with immediate vesting

-Flexible PTO

-Generous Holiday Schedule + 5 Days for Annual Holiday Week

-Quarterly Recharge Fridays (paid days off for mental health recharge)

-Flexible work schedules

-Professional development opportunities through LinkedIn Learning

-Discounted ClassPass membership

-Access to Coaches and Therapists through Modern Health

-2 Volunteer days per year

#LI-DL1 

Equal Opportunity Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of any grounds protected by applicable human rights legislation, which may include age, ancestry, citizenship, color, ethnicity, family status, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disabilities, political belief, race, religion, or sexual orientation.

Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button."

What Do We Do?

Triple Whale centralizes and simplifies all the metrics used by Shopify sellers, enabling them to save more time and make more money. We help e-commerce businesses accurately track and forecast all kinds of metrics, including changes in profits and operational metrics. Our goal is to infuse AI into e-commerce, empowering shops to have an accurate picture of their business and make optimal choices that boost their bottom line. Launched in mid-2021, Triple Whale already has over 6,000 clients, top-tier investors, and growing hubs in Columbus, Austin, North Carolina, and Israel (Jerusalem and Herzliya).

About the Role:

The AI department is focused on bringing value to our customers through the development of algorithms and analytical solutions. As an applied AI Engineer in the department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLQ, anomaly detection, image generation, time series, and more).

The team uses versatile methods and state of the art tools to deliver the most accurate insight and optimal decisions to our customers. We are responsible for the design, research, development, deployment and maintenance of these tools, hence part of our work includes writing and deploying production code.

What You'll Be Doing:

* Understand and explore the e-commerce domain, research, build and deliver sound insights, recommendation and automation solutions.

* Collaborate with fellow team members on exciting and challenging projects.

* Use state of the art tools to achieve high and robust performance. 

* Research, develop and maintain our AI repositories with quality algorithms by writing maintainable, performant code.

* Deploy and maintain your researched ML Models at scale within our cloud environment

*Implement the MLOps philosophy in everything you do.

* Collaborate with Product Managers, Dev and Data Engineers to provide great impact at scale while expediting model life-cycle.

* Constantly search for data driven value propositions for our clients.

* Constantly improve our model’s quality, and performance.

* Desire to continually keep up with advancements in data science practices. 

Qualifications:

* 2+ years experience as a data scientist, applied researcher or similar in the industry

* M.Sc/Ph.D in exact sciences

* Engineering Background - either an Engineering degree or engineering experience.  

* Experience in Machine Learning techniques, Time Series, NLP, Optimization, DNN, Recommendation Systems, Bayesian Optimization, and Data Science best practices.

* Deep theoretical knowledge in ML algorithms related to the relevant disciplines,

* Ability to write clean and concise code in Python and SQL with the ability of writing production level code and the experience of deploying it. 

* Excellent communication skills with the ability to clearly explain complex concepts to business stakeholders and the ability to work closely within a team. 

* Creative thinker with a proven ability to innovate through data exploration and application of complex and multi-discipline solutions.

* Curiosity, high level of self learning capabilities.

* Experience using CI/CD tools - mandatory. 

* Experience using Cloud (preferably GCP) and Distributed frameworks, e.g. Spark/Kubernetes - Advantage.

Our Values

We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.

We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage. 

We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together. 

We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.

We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.

In the News

Triple Whale raises $25M for its smart Shopify data platform

Columbus e-commerce startup Triple Whale aims to triple in size

Businessinsider: BusShopify merchants have doubled ad spend on TikTok to reel in customers, as privacy changes make Facebook a ‘complete nightmare’ for customer acquisition.

Triple Whale Raises $27.7M to Develop Default Ecommerce Operating System for Shopify Brands

Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. 

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.

The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.

What You'll Do

• The VP of Applied AI Engineering will work closely and collaboratively across Product Management, Product Engineering, and Technical Program Management to develop and focus on adding Generative AI and Machine Learning different layers of Cognite Data Fusion Platform that can lock step with the evolution of the best of breed AI technology. This will allow us to continue our leadership in the Industrial Data Cloud domain, and to build best in class capabilities and product experiences that are delightful to use and to operate.
• To lock-step with the evolution of the best of breed AI technology and human ingenuity, the system will enable the AI model to learn from SMEs, and will have the flexibility to utilize LLMs and State of The Art as the AI technology advances.
• This leader will build an efficient engineering system and team by attracting world-class AI architecture and engineering talent and by utilizing engineering best practices to deliver solid quality software, and fast.

• You understand the overall architecture of Transformer models, and Generative AI including LLMs
• You understand the overall software architecture, including cloud software, device software, Kubernetes container orchestration, and modern software design patterns   
• You are familiar with modern techniques for Language Understanding, Computer Vision, and other Machine Learning and AI technologies  
• You're excited about working on a local and global team of engineers, researchers, program managers, and product managers.
• A Masters degree in Computer Science, Electrical Engineering or related fields with focus on software engineering
• 20+ years of industry experience in Software Engineering, Artificial Intelligence and Machine Learning

• Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. 
• We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. 
• We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! 
• And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader!

• Competitive Compensation including base plus bonus
• 401(k) with 4% employer matching
• Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
• Unlimited PTO + flexibility to enjoy it
• 18 Company Holidays including the week between Christmas & New Years
• Paid Parental Leave Program
• Employee Stock Purchase Program (ESPP)
• Employee Referral Program
• Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices
• Join a team of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
• A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
• Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
• Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
• Paid mobile phone and WiFI
• A pet lover? Get the chance to meet Spot 🐶!

Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 

We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.

Please be aware that the Talent Acquisition team and Hiring team at Cognite will be on Summer holiday until early August 2023. During this period, we will be unable to review applications or proceed with the selection process.

About Cognite and Cogniters

Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. 

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.

The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.

A typical day as a Cogniter will contain the following tasks & responsibilities

• The VP of Applied AI Engineering will work closely and collaboratively across Product Management, Product Engineering, and Technical Program Management to develop and focus on adding Generative AI and Machine Learning different layers of Cognite Data Fusion Platform that can lock step with the evolution of the best of breed AI technology. This will allow us to continue our leadership in the Industrial Data Cloud domain, and to build best in class capabilities and product experiences that are delightful to use and to operate.
• To lock-step with the evolution of the best of breed AI technology and human ingenuity, the system will enable the AI model to learn from SMEs, and will have the flexibility to utilize LLMs and State of The Art as the AI technology advances.
• This leader will build an efficient engineering system and team by attracting world-class AI architecture and engineering talent and by utilizing engineering best practices to deliver solid quality software, and fast.

• You understand the overall architecture of Transformer models, and Generative AI including LLMs
• You understand the overall software architecture, including cloud software, device software, Kubernetes container orchestration, and modern software design patterns   
• You are familiar with modern techniques for Language Understanding, Computer Vision, and other Machine Learning and AI technologies  
• You're excited about working on a local and global team of engineers, researchers, program managers, and product managers.
• A Masters degree in Computer Science, Electrical Engineering or related fields with focus on software engineering
• 20+ years of industry experience in Software Engineering, Artificial Intelligence and Machine Learning

• Competitive salary and benefits include a pension plan, insurance, parental benefits, and more.
• Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
• A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
• Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
• Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
• Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
• Gain perks like a paid mobile telephone subscription and broadband connection.
• Get access to extended private health services with Aker Care.
• Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by our chefs who specialise in options for both vegetarians and non-vegetarian, salads and hot soups every day
• Stay fueled between meals with snacks and drinks on the house. 
• Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
• We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
• A pet lover? Get the chance to meet Spot 🐶!

Apply today!

If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions - Amy Ruban at amy.ruban@cognite.com.

We encourage you to follow us on Cognite LinkedIn; we post all our openings there.

Be aware that this position is also published in Austin, USA.

Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 

We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.

About Highspot

Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.

About the Role

Our Machine Learning Team is developing next-generation AI capabilities for Highspot’s leading sales enablement platform.  We stay at the forefront of machine learning research, continuously improving our models and algorithms through collaboration with product and data science teams. Our mission is to help our customers unlock the power of machine learning to improve productivities, sales performance, and achieve their business goals. We are looking for a Senior Machine Learning Engineer to join us in this effort.

What You'll Do

• Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability.
• Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings.
• Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills
• Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site-Reliability.

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of experience in developing and deploying machine learning models and systems
• Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.)
• In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing
• Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases
• Strong problem-solving skills and ability to analyze complex data sets.
• Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders
• An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals.
• Comfortable with modern open source technologies and tools.
• Passion to learn new technologies and infrastructure.

Highspot also offers the following employee benefits for this position:

-Comprehensive medical, dental, vision, disability, and life benefits

-Group Retirement Savings Plan (RRSP) and matching employer contributions (DPSP) with immediate vesting

-Flexible PTO

-Generous Holiday Schedule + 5 Days for Annual Holiday Week

-Quarterly Recharge Fridays (paid days off for mental health recharge)

-Flexible work schedules

-Professional development opportunities through LinkedIn Learning

-Discounted ClassPass membership

-Access to Coaches and Therapists through Modern Health

-2 Volunteer days per year

#LI-DL1

Equal Opportunity Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of any grounds protected by applicable human rights legislation, which may include age, ancestry, citizenship, color, ethnicity, family status, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disabilities, political belief, race, religion, or sexual orientation.

Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button."

Please be aware that the Talent Acquisition team and Hiring Managers at Cognite will be on Summer holiday until early August 2023. During this period, we will be unable to review applications or proceed with the selection process.

About Cognite and Cogniters

Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. 

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.

The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.

Are you passionate about applying state-of-the-art AI algorithms to real-world use-cases? Do you enjoy building end-to-end AI architectures that optimize or revolutionize existing processes? 

Are you fascinated by the new possibilities that Generative AI, Transformer models, and LLMs are creating to change the world?

We are looking for exceptionally talented and experienced individuals who have a proven track-record of working collaboratively with cross-functional internal and external teams, to identify opportunities and to lead the development of AI architectures in different industries that we target such as energy, manufacturing and utilities. The ideal candidate has a proven track-record for identifying repeatable patterns, to scale vertical solutions horizontally across industries. 

A typical day as a Cogniter will contain the following tasks & responsibilities

• Drive architecture and design patterns for various AI and ML related models, and services as part of Cognite Data Fusion SaaS platform
• Collaborate closely with cross-functional internal teams, including product management, engineering and program management, and external partners and stakeholders, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
• Passion for applying state-of-the art AI algorithms to real-world problems.
• Stay up-to-date with the latest developments in AI and related fields, evaluate new developments and technologies for potential integration into existing and future architecture

• You understand the overall architecture of Transformer models, including LLMs
• You understand how to leverage multiple ML models in tandem 
• You are familiar with modern techniques for Language Understanding, Computer Vision, and other Machine Learning and AI technologies 
• You're excited about working on a local and global team of engineers, researchers, and product managers.
• A Masters degree in Computer Science, Electrical Engineering or related fields with focus on AI and machine learning. PhD is highly preferred. 
• 7+ years of industry and research experience in Artificial Intelligence and Machine Learning
• Experience with AWS, Google or Azure is Required

• Competitive salary and benefits include a pension plan, insurance, parental benefits, and more.
• Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
• A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
• Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
• Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
• Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
• Gain perks like a paid mobile telephone subscription and broadband connection.
• Get access to extended private health services with Aker Care.
• Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by our chefs who specialise in options for both vegetarians and non-vegetarian, salads and hot soups every day
• Stay fueled between meals with snacks and drinks on the house. 
• Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
• We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
• A pet lover? Get the chance to meet Spot 🐶!

Apply today!

If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions - Amy Ruban at amy.ruban@cognite.com.

We encourage you to follow us on Cognite LinkedIn; we post all our openings there.

Be aware that this position is also published in Austin, USA.

Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 

We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.