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Research Internship/Co-op
Deploy autonomous transportation at scale using a revolutionary Physical AI platform that generalizes across different geographies, environments, and vehicle types.
Benefits:
Daily drinks, snacks and catered meals
Regularly scheduled team building activities
Education Requirements:
Bachelors or MS/PhD degree in Computer Science, Engineering, AI, or related field
Experience Requirements:
Demonstrated research/software engineering experience
Other Requirements:
Strong quantitative background
Proficient in Python and/or C++
Submission of academic transcripts required
Responsibilities:
Lead or Contribute to an AI research project
Design, implement, train, and optimize novel algorithms
Submit and publish work externally at top conferences
Release open source projects
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Human Data Assistant | $45/hr Remote
Translate baby cries and monitor infant health using clinically-backed voice AI designed to help parents and medical professionals provide proactive neonatal care.
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
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Staff Research Scientist, Dexterous Manipulation
Address industrial labor shortages by deploying general-purpose humanoid robots designed for complex tasks in manufacturing, automotive, and logistics sectors.
Benefits:
competitive salaries
equity stakes
health coverage
paid time off
cutting-edge work facilities
Education Requirements:
Ph.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background
Experience Requirements:
5+ years of hands-on experience implementing and deploying robotic manipulation tasks
5+ years of practical experience applying RL and/or IL methods
4+ years experience in developing and optimizing large-batch parallel simulations
Proven expertise in continual learning
Proven expertise in sim-to-real transfer
Other Requirements:
Development with Python 3.8 or later
Working knowledge of PyTorch and/or TensorFlow
Familiarity with ROS2
Track record of publishing research in AI conferences (ICRA, IROS, CORL)
Responsibilities:
Create, develop, and enhance cutting-edge RL and IL algorithms
Stay current with the latest developments in RL/IL techniques
Identify, communicate, and lead research initiatives
Enhance current RL/IL learning processes (efficiency, speed, scalability)
Devise RL/IL training and data collection pipelines
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Machine Learning Research Intern (Reinforcement/Imitation Learning)
Address industrial labor shortages by deploying general-purpose humanoid robots designed for complex tasks in manufacturing, automotive, and logistics sectors.
Benefits:
competitive salaries
equity stakes
health coverage
paid time off
cutting-edge work facilities
Education Requirements:
Pursuing MS or Ph.D. in Machine Learning, Computer Science, Applied Math, or related field
Experience Requirements:
Experience implementing RL and IL methods focused on computer vision or robotics
Hands-on experience integrating ML models onto a robotics platform
Experience implementing and deploying robotic manipulation tasks
Experience taking ML R&D into production
Experience with computer vision systems
Other Requirements:
Development with Python 3.6 or later
Working knowledge of PyTorch and/or JAX
Familiarity with ROS2
Responsibilities:
Design, implement, and improve RL and IL algorithms
Keep up to date with state-of-the-art RL/IL methodologies
Identify, communicate, and drive promising research directions
Improve existing implementations regarding sample efficiency and scalability
Design RL/IL training and data-collection pipelines
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Confirmed Clinical Data Analyst
Improve diagnostic precision and clinical workflow efficiency with an AI-driven radiology platform that automates X-ray, CT, and MRI analysis for medical teams.
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
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Senior Solutions Data Scientist
Improve diagnostic precision and clinical workflow efficiency with an AI-driven radiology platform that automates X-ray, CT, and MRI analysis for medical teams.
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
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Data Analyst II
Optimize enterprise operations and train reliable AI agents by capturing real-time work context across all applications without complex system integrations.
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
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Data Labs Intern
Automate customer calls and extract actionable insights from 100% of interactions to boost sales conversions, ensure compliance, and improve agent performance.
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
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Research Scientist, AQUA
Stay ahead of the rapid AI curve with daily news, implementation guides, and expert-led workshops designed for professionals seeking to master the future of work.
Benefits:
Collaborative research environment
Education Requirements:
PhD in Computer Science, AI, or a related field
Experience Requirements:
Publication record in top-tier ML conferences
Understanding of deep learning and NLP
Experience with JAX, TensorFlow, or PyTorch
Other Requirements:
Strong programming skills in Python
Experience with LLMs or assistive AI agents
Responsibilities:
Design and evaluate software prototypes
Push boundary of state of the art RL methods
Present research findings
Engage in team collaborations
Ensure advances are developed ethically
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Senior/AI Scientist
Empower radiologists and clinicians with FDA-cleared AI for early disease detection, automated imaging quantification, and longitudinal patient follow-up care.
Benefits:
Competitive compensation and rewards
Opportunity to grow with a young company
Education Requirements:
PhD/MS/bachelor’s degree in Mathematics, Computer Vision, Computer Science
Experience Requirements:
3-8 Years
Team handling and mentoring experience
Other Requirements:
Excellent skills in Machine Learning and Deep Learning
Broader domain of statistics
Implementation experience with a variety of high-level languages
Detail-oriented
Responsibilities:
Optimize deep learning models for deployment across platforms
Apply scientific rigor to create analytical and clinical evidence
Assist in AI Deployment, optimization, maintenance and testing
Involve in the submission of papers
Ideate and develop novel technical advances
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Research Scientist, Voice AI
Launch AI startups from concept to scale with a venture studio providing pre-seed funding, expert technical teams, and strategic mentorship from Andrew Ng.
Benefits:
Health Insurance
GYM Membership
Professional Development opportunities
Startup Environment agility
Work with latest AI agents and LLMs
Experience Requirements:
2+ years building deep learning systems (industry or academia)
Strong fundamentals in representation learning and generative modeling
Hands-on experience with Transformers/LLM-style training or audio generation
Excellent Python + PyTorch skills
Research-to-production mindset focused on speed and latency
Other Requirements:
Prior work in TTS, voice conversion, or ASR is a plus
Experience with discrete audio modeling (codecs, VQ) is a plus
Responsibilities:
Run end-to-end research cycles from ideas to experiments
Design and improve generative speech models for streaming/high-quality cases
Create strong objective and human/perceptual evaluations
Collaborate with ML/infra/engineering to deploy research into APIs
Communicate research conclusions and strategy clearly
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AI Researcher, Core ML (Turbo)
Accelerate the generative AI lifecycle with high-performance GPU clusters and a serverless inference platform optimized for low-latency, cost-effective tasks.
Benefits:
competitive compensation
startup equity
health insurance
Education Requirements:
Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience.
Experience Requirements:
3+ years of experience working on ML systems, large-scale model training, inference, or adjacent areas.
Demonstrated experience owning complex technical projects end-to-end.
Other Requirements:
Strong expertise in Systems-first profile, RL-first profile, or Model architecture design.
Comfortable working from algorithms to engines.
Solid research foundation in area(s) of depth.
Strong coding ability in Python.
Responsibilities:
Advance inference efficiency end-to-end
Unify inference with RL / post-training
Own critical systems at production scale
Provide technical leadership (Staff level)
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Senior Execution Data Scientist
Deploy and govern enterprise-grade AI agents across hybrid and multi-cloud environments to unify complex machine learning workflows and accelerate business ROI.
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
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Applied Data Science Associate - Federal
Deploy and govern enterprise-grade AI agents across hybrid and multi-cloud environments to unify complex machine learning workflows and accelerate business ROI.
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
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Data Scientist
Transform complex data challenges into streamlined business outcomes using artisanal software engineering, AI, and machine learning for data-led organizations.
Benefits:
Unlimited leaves
Life insurance & private health insurance
Stock options
No hierarchy
Open Salaries
Education Requirements:
PhD, Master’s, or Graduate Degree in Computer Science
Degree in Machine Learning or AI
Degree in Operational Research
Degree in Statistics or Mathematics
Experience Requirements:
Proven track record in client interaction
Experience collaborating with engineering and business teams
Expertise in formulation, solving and deploying Data Science models
Expertise in problem solving while being hands on
Other Requirements:
Conversant with end-to-end data science model life cycle
Conversant with at least 2 areas: NLP, CV, RAG, LLMs, or ML
Proficiency in Python and relevant libraries
Theoretical strength in deep learning and conventional machine learning
Responsibilities:
Conceptualizing, formulating, coding and deploying solutions
Interacting with clients to make sense of ambiguous problem statements
Building systems like RAG, Multiagent, or LLM-based solutions
Solving problems in computer vision, speech, or NLP
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2 Post-doc and 6 PhD students in Machine Learning and Computer Vision
Ensure ethical outcomes and public trust in automated systems by embedding fairness, accountability, and transparency into your machine learning models.
Benefits:
Salary £41,526 - £49,553 (Grade 8) for postdoc
4-year PhD studentship
World-leading research environment (REF 2014)
Located in Brighton near the sea and London
Publish in top AI conferences (NeurIPS, ICML, CVPR)
Education Requirements:
PhD in machine learning or related field (for postdoc)
Experience Requirements:
Good publication record (postdoc applicant)
Background in approximate inference or reinforcement learning
Other Requirements:
No fixed application deadline, positions open until filled
Responsibilities:
Novel inference and computational method development
Fairness under uncertainty in static settings
Fairness under uncertainty in dynamic settings
Ensuring transparency in fairness for human understanding
Building interpretable models using uncertainty estimates
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PhD Fellowships in Responsible AI, AI-Human Coexistence and AI for Sustainability
Ensure ethical outcomes and public trust in automated systems by embedding fairness, accountability, and transparency into your machine learning models.
Benefits:
Tax-free stipend of £18,622 per year for 4 years
Research training stipend of £2,000 for 4 years
Tuition fees waived up to overseas rate
Opportunity to visit or work at Monash University Indonesia
Work in the WeArePAL lab at the University of Sussex
Education Requirements:
Background in Computer Science, Math, or Statistics
Background in Econometrics or Industrial Engineering
Background in Law or Information Systems
Experience Requirements:
Academic or professional background in related disciplines
Other Requirements:
Discuss application informally via email before applying
Clearly indicate supervisor Professor Novi Quadrianto on application
Responsibilities:
Harnessing AI for Fairness, Transparency, and Inclusive Growth
Developing AI frameworks that minimize bias and promote trust
Safeguarding Ethical and Legal Boundaries in Human-AI Coexistence
Developing policies for human-AI coexistence
Leveraging AI for sustainability in supply chain networks
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PhD and Postdoctoral Fellowship positions in Trustworthy Machine Learning
Ensure ethical outcomes and public trust in automated systems by embedding fairness, accountability, and transparency into your machine learning models.
Benefits:
Joint research collaborations between BCAM and University of Sussex
Synergies in research on algorithmic fairness
Other Requirements:
Application Deadline: 31st March 2021, 14:00 CET
Responsibilities:
Research on algorithmic fairness under uncertainty
Research on transparency in algorithmic fairness
Reinforce existing research areas and generate synergies
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Reinforcement Learning Engineer
Achieve higher reliability and 8x lower inference costs for AI agents through reinforcement learning and fine-tuning tailored for enterprise-grade performance.
Benefits:
Extremely competitive compensation
GPU-rich environment
High degree of autonomy
Small team of top performers
Experience Requirements:
Trained LLMs to be SOTA on specific tasks
Other Requirements:
Learn fast
Ability to ship
Responsibilities:
Generate and investigate research ideas
Solve remaining obstacles to continuous learning in production
Direct enormous compute at training efforts
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AI Engineer Researcher
Achieve higher reliability and 8x lower inference costs for AI agents through reinforcement learning and fine-tuning tailored for enterprise-grade performance.
Benefits:
Extremely competitive compensation
High degree of autonomy
Small team of top performers
Experience Requirements:
Shipped agents to production
Opinions on what works with today's models
Other Requirements:
Learn fast
Ability to ship
Responsibilities:
Help productize continuous training loops
Figure out the correct UX to ship products to customers
Design dashboards, APIs, or other interfaces
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