Benefits:

• Daily drinks, snacks and catered meals

• Regularly scheduled team building activities

Education Requirements:

• Pursuing PhD degree in Computer Science, Engineering, AI, ML, or related field

Experience Requirements:

• Demonstrated research/software engineering experience

• At least one publication in top ML, CV, or Robotics conferences

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

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

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:

• 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

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

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:

• 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

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

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

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

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)

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:

• 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

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

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

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

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