AI Jobs

Experience Requirements:

• Strong technical aptitude

• Experience in data operations, analysis, or workflow optimization

• Familiarity with operational processes

• High attention to detail in managing data quality

Other Requirements:

• Ability to work independently in a remote environment

• Mindset focused on efficiency improvement

• Ability to interpret and communicate data-driven insights

Responsibilities:

• Design and manage data workflows for annotation

• Establish and monitor KPIs for data quality

• Analyze datasets to generate actionable insights

• Collaborate cross-functionally for business objectives

• Develop and maintain reporting frameworks

Benefits:

• competitive salaries

• equity stakes

• health coverage

• paid time off

• cutting-edge work facilities

Education Requirements:

• Pursuing a Master’s or PhD in Robotics or a related field (Computer Science, Electrical Engineering, Mechanical Engineering, etc.)

Experience Requirements:

• Experience developing software for robotic systems on physical hardware

• Strong experience in dynamic system identification for complex robotic systems

• Proficiency in C++, Python, and ROS 2 development

• Solid understanding of machine learning techniques

Other Requirements:

• Consistently positive attitude

• Self-motivated and able to solve problems independently

• Experience developing robot teleoperation algorithms is an asset

Responsibilities:

• Develop and implement control systems for dexterous robotic hands

• Integrate software solutions with physical hardware

• Collaborate with cross-functional teams to design and test systems

• Contribute to project documentation and management (Confluence, Jira)

• Ensure robustness and reliability through iterative testing

Benefits:

• Health care plan: Alan (50% employer)

• Luncheon voucher: 9€ (50% employer)

• Transport: 50% pass or sustainable mobility pass

• Stock option (BSPCEs)

• Regular team events

Education Requirements:

• Master's degree in Biostatistics, Statistics, Data Science, or related field (Ph.D. preferred)

Experience Requirements:

• Proven experience in Real-World Evidence (RWE) and Advanced Survival Analysis

• Experience working with large-scale administrative claims databases (SNDS/PMSI)

Other Requirements:

• Expert-level skills in SQL and R or Python

• Ability to design and draft formal SAP and SAR

• Fluent in both English and French

• Strong sense of responsibility and rigor

Responsibilities:

• Lead the end-to-end biostatistical process from SAP to SAR

• Execute robust statistical analyses on longitudinal datasets

• Evaluate clinical and healthcare resource utilization metrics

• Provide statistical foundation for peer-reviewed publications

• Collaborate with the Data Science team

Benefits:

• Employee Resource Groups (ERG)

• Paid volunteer time

• Reduction of working time (RTT)

• Flexible work options (home/office)

Experience Requirements:

• 5+ year experience minimum in manufacturing/supply chain functions

• 3+ years of experience with Python

Other Requirements:

• Track record of scoping and managing data-science projects

• Experience developing WebApps (Javascript, Dash or RShiny)

• Ability to work in a global, distributed team

• Knowledge of Agentic AI, Generative AI, or knowledge graphs is a plus

Responsibilities:

• Build a strong Solutions roadmap for Manufacturing and Supply Chain

• Own the building and delivery of solutions from ideation to packaging

• Participate in the initial roll-out of Solutions (demos, implementation)

• Act as a go-to-person on Data Science Manufacturing and Supply Chain

• Support overall solutions engineering roadmap and technical research

Experience Requirements:

• 3-6 years of experience in data analysis, business process analysis, or task mining

Other Requirements:

• Strong proficiency in SQL and Python/Pandas

• Ability to handle large data sets and structured/semi-structured event data

• Familiarity with ML techniques such as clustering or sequence alignment

Responsibilities:

• Build insightful analytics and dashboards for interaction datasets

• Build reproducible data pipelines for processing event data

• Create modular, well-structured scripts for analytics

• Create high-quality visualizations for business themes

Benefits:

• Work directly with the CTO

• Competitive compensation and equity participation

• Unlimited time off and flexible working hours

• Hybrid work culture

Education Requirements:

• MS or BS in Computer Science

Experience Requirements:

• 8+ years of software engineering experience

• 3+ years in management or tech lead roles

• Proven experience leading teams of 10–20 engineers

Other Requirements:

• Strong understanding of backend and AI systems

• Experience engaging with enterprise clients

Responsibilities:

• Lead, grow, and retain a high-performing engineering organization

• Provide technical leadership and define strategy in partnership with the CTO

• Stay hands-on with technology to guide design and code reviews

• Own the quality, reliability, and performance of the product

• Drive engineering processes like sprint planning and technical reviews

Benefits:

• 25 days annual leave (pro rata)

• Dedicated mentor and engineering support

• Flexible working hours

• YuLife membership

• Training and learning resources

Education Requirements:

• Studying towards a degree in Computer Science or Software Engineering

• Enrolled on an accredited Year in Industry placement

Experience Requirements:

• Foundational knowledge of programming concepts

• Familiarity with web technologies (HTML, CSS, JavaScript)

• Experience with Git (Desirable)

• Interest in AI or knowledge-based systems

• Experience with JS/TS, React, or Node.js (Desirable)

Other Requirements:

• Genuine enthusiasm for learning

• Ability to manage time in a remote environment

• Collaborative team player

Responsibilities:

• Contribute to platform features using React and Node.js/Go

• Participate in agile processes (planning, standups, retros)

• Learn and apply DevOps and CI/CD practices

• Collaborate via code reviews and pair programming

• Work on documentation and testing for platform quality

Benefits:

• Learning & Upskilling reimbursement

• Weekly Friday Treats

• Friday Fun & Wellness sessions

• Quarterly Team Outings

Other Requirements:

• Strong analytical and problem-solving skills

• Familiarity with statistical techniques

• Experience analyzing structured/unstructured data

• Basic knowledge of data visualization tools (Excel, Tableau, Power BI)

• Excellent communication skills

Responsibilities:

• Explore and analyze large conversational datasets to identify patterns

• Perform correlation and statistical analysis to uncover insights

• Assist in the development of data labs reports with recommendations

• Collaborate with cross-functional teams to interpret analytical results

• Support data visualization efforts and create presentations for stakeholders

Education Requirements:

• Bachelor's/Master's degree in business, Computer Science, Engineering or equivalent industry experience

Experience Requirements:

• 8+ years of product management experience in Enterprise SaaS

• 5+ years of experience with data governance and scaling data platforms and products

• Experience working in a product-led environment, agile development methodologies, and globally distributed teams

Other Requirements:

• Strong understanding of data warehousing, ETL processes, and API integration

• Familiarity with governance tools like Collibra, Informatica, or Alation

• Hands-on experience with data platforms such as Snowflake, Redshift, or BigQuery

• Financial acumen to develop business cases and monetization opportunities

• Excellent written and verbal communication with story-telling savviness

Responsibilities:

• Define the product strategy and build product roadmaps for enterprise data warehouse and governance platforms

• Deliver and prioritize well-defined epic/feature requirements to Engineering and UX

• Drive execution and delivery, and go-to-market of product roadmap through collaboration

• Build new features and functionality to provide seamless and flexible integrations

• Oversee the entire product lifecycle from ideation to delivery

Benefits:

• Employee referral process

Experience Requirements:

• 3+ years of data conversion technical experience for enterprise software applications

• Hands on SQL skills

• Functional experience in HCM or Financials or Student modules

• Project lifecycle experience in a data conversion role

Other Requirements:

• Workday Experience preferred

• Hands-on experience with ETL software, Microsoft Excel

• Familiarity with web services

• Strong analytical and problem solving skills

Responsibilities:

• Design, develop and deploy solutions for data conversion

• Consultancy on extraction, transformation and loading of legacy data

• Ensure successful deployment of customer data into Workday

• Execute highly strategic data conversion data loads

• Design and execute data loads for Workday implementations

Benefits:

• Competitive compensation

• Growth opportunity

• Collaborative environment

Education Requirements:

• Degree in Computer Science, Electrical/Mechanical Engineering, or related field

Experience Requirements:

• Track record in data center operations

• Experience in recruiting and scaling technical operations teams

• Experience managing large-scale infrastructure projects

• Knowledge of data center security standards

Other Requirements:

• Fluency in English and Swedish is a plus

• Hands-on troubleshooting skills

Responsibilities:

• Lead operational management of the data center

• Hire and manage local hardware engineers

• Oversee hardware deployment and upgrades

• Monitor and enforce SLAs

• Manage incidents and request tickets

Benefits:

• Competitive salary

• Comprehensive benefits

• Professional growth and leadership opportunities

• Supportive and fast-paced environment

Experience Requirements:

• 3+ years of experience in data engineering, analytics, or BI-focused roles

• 4-5 years

Other Requirements:

• Strong proficiency in SQL and NoSQL databases

• Experience with Metabase, Mixpanel, or similar BI tools

• Proficiency in Python and experience with ETL frameworks

• Understanding of data modeling and business intelligence best practices

Responsibilities:

• Develop and optimize ETL processes

• Manage and enhance BI tools like Metabase

• Build and maintain dashboards and data models

• Work with Mixpanel to analyze user behavior

• Ensure data quality, security, and governance

Benefits:

• health insurance

• 401(k) matching

• paid time off

• parental leave

• Basic Life & AD&D insurance

Education Requirements:

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Experience Requirements:

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture experience

• 1+ years of designing and developing large-scale distributed software applications

Other Requirements:

• Object Oriented Design experience

• Experience programming with at least one software programming language

• Full software development life cycle experience preferred

Responsibilities:

• Design and develop software products for measurement data

• Build maintainable and scalable software using high-level languages

• Collaborate with Scientists and Economists

• Architect services for petabyte-scale and exponential growth

• Innovate on event-driven architectures

Benefits:

• Competitive compensation package including equity and annual bonuses

• Excellent Medical, Dental, and Vision plans

• Accrued PTO and 10 paid holidays

• Free catered lunch and fully stocked kitchen

• Fidelity 401(k)

Experience Requirements:

• 5+ years of experience working in an R&D or development lab environment

• Experience with prototype builds and testing

• Experience reading and building harnesses from drawings

Other Requirements:

• Comfortable using soldering iron, multimeter, and crimping tools

• Good interpersonal skills

• Self-motivated

• Ability to make timely decisions

Responsibilities:

• Build high quality harness assemblies

• Perform incoming quality inspection for CM harness builds

• Organize and manage prototype test setups/fixtures

• Perform testing on electrical components and assemblies

• Perform soldering, mechanical assemblies, and subsystem builds

Benefits:

• Early-stage startup experience

• Work on core retail technology problems

• Ability to shape engineering culture

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent

Experience Requirements:

• 10+ years of software development experience

• 5+ years in engineering leadership roles

• Track record of scaling teams from ~5 to 50+ engineers

• Deep expertise in modern programming languages and distributed systems

• Experience building and scaling multi-tenant SaaS platforms

Other Requirements:

• Knowledge of observability tools like Honeycomb is a plus

• Experience with SOC 2, GDPR compliance is a plus

Responsibilities:

• Lead engineering teams in designing scalable cloud-native architectures

• Drive technical strategy with an AI-first approach

• Oversee the development lifecycle and CI/CD pipelines

• Mentor talent and foster a culture of innovation

• Establish engineering KPIs and system performance metrics

Experience Requirements:

• 5+ years of hands-on data engineering experience

• Strong proficiency in Python for data processing

• Production experience with Apache Spark

• Hands-on experience with cloud platforms (AWS, GCP, or Azure)

• Deep understanding of SQL and modern data warehouse technologies

Other Requirements:

• Expertise with Kafka, Kinesis, or Flink is a plus

• Knowledge of DataOps and MLOps best practices is a plus

Responsibilities:

• Design and implement scalable data pipelines (batch and streaming)

• Build and maintain cloud-native data infrastructure

• Develop AI agents to automate operations

• Implement data quality validation and monitoring

• Collaborate with product and engineering teams on requirements

Benefits:

• competitive compensation

• startup equity

• health insurance

Experience Requirements:

• 8+ years in data center strategy, site selection, or infrastructure planning at a hyperscaler or large colocation provider

Other Requirements:

• Strong technical grasp of DC fundamentals (power architecture, cooling, rack density).

• Experience leading large complex multi-party negotiations.

• Knowledge of standard data center, power, and real estate contractual frameworks.

• Financial fluency in TCO modeling and lease vs. own analysis.

Responsibilities:

• Develop Together's global data center strategy

• Own site selection and vendor relationships

• Lead technical site diligence process

• Negotiate and interface with executive and senior level management

• Drive high-impact commercial and strategic transactions

Benefits:

• Choice of Medical plans

• Dental and vision

• FSA

• Short- and long-term disability

• Paid parental leave

Education Requirements:

• Bachelor’s degree in Computer Science, Computer Engineering, IT or related field

Experience Requirements:

• 6 years of experience as Data Scientist

• 3 years of experience consulting with customers on end-to-end data science solutions

• 3 years of experience building and implementing machine learning or AI models

Other Requirements:

• Experience with problem framing, data preparation, model building, and visualization

• Experience with AI algorithms and systems to generate business insights

Responsibilities:

• Develop and execute end-to-end enterprise-grade AI solutions

• Serve as a Data Science technical expert during customer engagements

• Conduct proof-of-concept and proof-of-value trials

• Solve complex data science problems using DataRobot

• Train end users

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor’s degree in a technical field (physical sciences, engineering, computer science, statistics, etc.)

Experience Requirements:

• 3+ years of building and implementing analytics solutions for stakeholders

Other Requirements:

• Must be a US citizen

• Must have an active Secret or Top Secret/SCI clearance

• Fluency with scripting in Python

• Travel for customer meetings

Responsibilities:

• Successfully conduct a 6 month structured training program

• Provide DataRobot platform and data science support to clients

• Enable customers to solve complex data science problems

• Work side by side with sales, success and engineering teams

• Act internally as the voice of the customer

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field

Experience Requirements:

• 8+ years in a technical product management role

• Experience with unstructured and structured data management capabilities like RAG systems

• Experience working directly with public cloud services

Other Requirements:

• Deep understanding of data preparation and management for AI

• Proven track record of introducing radical new products (0 to 1)

Responsibilities:

• Lead technical discussions and be a thought leader

• Define product strategy and detailed requirements

• Develop and manage end-to-end product plans

• Work closely with customers to ensure successful adoption

• Own execution of foundational infrastructure for Agentic AI