Benefits:

• Competitive salary, annual bonus and equity

• Regular compensation reviews

• Generous paid time off above statutory minimum

• Generous family leave (maternity, paternity)

• Hybrid working

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Comfort with ambiguity

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Fully remote working environment

• International team

• Flexible working time

• Home office budget up to €1500

• Book Allowance and Sharing Program

Experience Requirements:

• 3+ years of experience in analytics, analytics engineering, or a similar data role

• Strong SQL skills and solid experience with Python

• Hands-on experience with modern data stacks (Snowflake, dbt)

• Experience with analytics and visualization tools (Tableau, Looker)

Other Requirements:

• Comfortable working at the intersection of data, marketing, and business

• Strong ownership mindset

• Familiarity with web or product analytics tools (Amplitude, GA4)

Responsibilities:

• Conduct descriptive and exploratory analyses

• Build and maintain dashboards to monitor KPIs and experiments

• Design and maintain data models in Snowflake and dbt

• Support A/B testing efforts and metric definitions

• Communicate insights to non-technical stakeholders

Experience Requirements:

• Leaders with experience running research organizations or data-driven strategy teams

• Individuals who see GTM as a science

• Deeply curious, multidisciplinary thinkers fluent in AI, economics, and market systems

• Comfortable managing hybrid teams of humans, models, and agents producing open knowledge

Responsibilities:

• Oversees the institution’s open-source GTM research agenda

• Drives the roadmap for how OpenGTM codifies market knowledge

• Ensures the Lab functions as both an R&D engine and a public institution

• Leads a distributed network of researchers, AI systems, and contributors

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 6+ years experience in data science or machine learning roles with direct experience on recommendation systems

Other Requirements:

• Strong technical skills in Python, SQL, and statistical modeling

• A self-starter mentality with the ability to thrive in ambiguity

• Applicants must be eligible to work in the US.

Responsibilities:

• Define content strategy: Partner with product and growth leaders to establish initial content discovery strategy

• Get hands-on: Dive deep into user behavior patterns and content characteristics

• Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements

• Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality

• Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms

Benefits:

• Be part of a pioneering company

• Work on cutting-edge AI research

• Opportunity for significant real-world impact

• Join a team of top-tier AI researchers

• Culture that values curiosity and continuous learning

Education Requirements:

• Currently pursuing an M.Sc / PhD with thesis in a relevant STEM field

Experience Requirements:

• At least 1 year remaining in your studies

• Proven experience in Computer Vision

• Strong understanding of deep learning

• Excellent programming skills in Python

• Hands-on experience with deep learning frameworks such as PyTorch

Other Requirements:

• Availability to work 3 days per week on-site

• Demonstrated ability for independent research

• Hands-on mindset and motivation to work with data

• Experience working with video data for tasks such as action recognition

Responsibilities:

• Design, implement, and evaluate deep learning models

• Contribute to the research lifecycle from review to proof-of-concept

• Work hands-on with real-world video data analysis and preprocessing

• Collaborate with senior researchers to translate ideas into solutions

• Stay up to date with the latest advancements in computer vision

Experience Requirements:

• 6+ years building and deploying consumer-facing ML systems

• 2+ years leading or formally managing data scientists or ML engineers

Other Requirements:

• Strong Python skills

• Experience with Databricks or comparable ML platforms

• Experience with experimentation platforms or causal inference methods

• Background in subscription/SaaS businesses

• Familiarity with TypeScript

Responsibilities:

• Ship production ML systems

• Own outcomes end-to-end

• Build and develop the team

• Partner across the business

• Set technical direction

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 6+ years

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 6-8 years

Education Requirements:

• Master’s Degree in Computer Science, Computer Applications, Computer Information Systems or Related.

Experience Requirements:

• 2years experience as a Data Analyst, Data Architect or related.

Other Requirements:

• Travel/relocation to various unanticipated client sites within the United States is required.

Responsibilities:

• Design databases to support business applications, ensuring system scalability, security, performance, and reliability.

• Develop database architectural strategies at the modeling, design, and implementation stages to address business or industry requirements.

• Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.

• Develop data models for applications, metadata tables, views, or related database structures.

• Set up database clusters, backup, or recovery processes.

Benefits:

• Company equity grants

• Employer-covered health, vision, and dental insurance

• 401k matching

• 20 days of PTO allowance per year

• 10 annual holidays

Education Requirements:

• Degree in a STEM discipline preferred (or equivalent practical experience)

Experience Requirements:

• 4+ years of experience in applied data science or machine learning

• Strong Python and SQL skills

• Experience developing and evaluating supervised ML models

• Practical experience with experimentation and statistical reasoning

• Familiarity with reinforcement learning or decisioning frameworks

Other Requirements:

• Demonstrated ability to independently frame problems

• Strong communication skills across technical and business audiences

• Experience in telecom, subscription, pricing, or churn analytics

• Exposure to contextual bandits or policy optimization

• Familiarity with AI agents

Responsibilities:

• Translate business asks into modeling tasks and evaluation frameworks

• Develop predictive models and decision logic

• Design and analyze A/B tests or staged rollouts

• Specify model inputs, outputs, and logging for monitoring

• Communicate findings and tradeoffs to stakeholders

Education Requirements:

• Currently pursuing a PhD or Master’s degree in Computer Science, Machine Learning, or NLP

Experience Requirements:

• Strong background in deep learning, LLMs, and NLP

• Track record of first-author publications in top AI/NLP conferences

• Proficiency in Python and deep learning frameworks

Other Requirements:

• Domain knowledge with RAG, RL and AI agent training is a plus

Responsibilities:

• Conduct original research in LLM training and RAG

• Develop and experiment with new models and algorithms

• Collaborate with in-house researchers

• Present findings through papers and technical talks

Benefits:

• Comprehensive health insurance

• 401(k) and pre-tax benefits

• Unlimited PTO

• Travel budget

• Office Equipment allowance

Education Requirements:

• PhD or Master’s degree in Computer Science, Machine Learning, NLP, or a related field

Experience Requirements:

• Strong background in deep learning, large language models, and NLP techniques

• Track record of first-author publications in top AI/NLP conferences

• Proficiency in Python and deep learning frameworks (PyTorch, Transformers)

Other Requirements:

• 2+ years of industry applied ML research experience preferred

• Familiarity with retrieval-augmented generation and RL

Responsibilities:

• Formulate ML problems from product requirements

• Analyze existing ML systems and propose novel methodologies

• Create and productionize research prototypes

• Build novel ML evaluation datasets

• Mentor ML interns and publish research findings

Benefits:

• Offers Equity

• Relocation package

• 20 days of paid vacation

• Best medical insurance in France

• Covered subscriptions for AI agents and IDEs

Experience Requirements:

• Strong Python and SQL with an engineering mindset

• Solid applied NLP/ML experience on real-world text

• Comfortable with distributed processing and large-scale storage

• Experience evaluating fuzzy problems and metrics

• Prior work with safety, moderation, or observability datasets

Other Requirements:

• Fluent English

Responsibilities:

• Turn petabytes of unstructured text into structured views

• Build scalable representation pipelines and embeddings

• Use LLMs pragmatically for labeling and enrichment

• Deliver insights that change product and operational decisions

• Ship self-serve analytics datasets and dashboards

Benefits:

• Social insurance coverage

• Annual paid leave (15 days)

• Full transportation allowance

• Referral bonus (300,000 JPY)

• Stock option system

Experience Requirements:

• Advanced visualization skills using BI tools (Tableau, Power BI, etc.)

• SQL skills for data extraction and processing

• Ability to find business issues from web and customer data

• Practical knowledge of KPI design and data quality management

Other Requirements:

• Commitment to final results and customer contribution

• Active involvement in team and organizational growth

Responsibilities:

• Collect, organize, and visualize project data

• Support identification of business challenges and improvements

• Provide reporting and insights from a business-side perspective

• Support data-driven growth strategies for B2C companies

Benefits:

• Social insurance coverage

• Annual paid leave (15 days)

• Full transportation allowance

• Referral bonus (300,000 JPY)

• Stock option system

Experience Requirements:

• Experience building prediction models (demand, churn) using large data

• Advanced analysis and implementation skills in Python/R and SQL

• Logical thinking to link analysis results to business impact

Other Requirements:

• Venture spirit to lead projects in a fast-paced environment

• Active participation in organizational growth and recruitment

Responsibilities:

• Utilize statistical analysis and ML to support client growth

• Construct prediction and optimization models for B2C clients

• Derive new insights from data for consulting projects

• Lead data-driven initiatives to resolve client resource shortages

Benefits:

• Paid positions

• Hands-on experience

• Dynamic environment

• Learning & Growth

Education Requirements:

• Masters degree in biology, chemistry, computer science, bioinformatics, or data science

Experience Requirements:

• Academic experience or projects that demonstrate your interest

Other Requirements:

• Basic programming skills, preferably in Python

• Strong analytical skills

• Ability to approach problems creatively

• Collaborative mindset

Responsibilities:

• Gain hands-on experience in a dynamic environment

• Contribute to work turning around drugs

• Gain insights into the drug development lifecycle

• Learn how AI techniques are applied to drug safety

Benefits:

• Competitive compensation

• Equity in a fast-moving, profitable startup

• Direct work with world-leading AI experts

• No-jerks policy

• CMU startup in close proximity to CMU

Education Requirements:

• PhD

Experience Requirements:

• Strong software development skills

Other Requirements:

• US citizenship

• Eligibility to obtain TS/SAP clearance

• Excitement to change the world with AI products

• Desire to work with leading experts in a fast-moving environment

Responsibilities:

• Work on fighter pilot AIs

• Work on wargaming AIs for important scenarios

• Leverage course-of-action generation and execution AI system

Benefits:

• Medical insurance with dentistry

• Mobile communication compensation

• IT conferences and training

• MTS Premium subscription

• Partner discounts

Experience Requirements:

• 3–6 years of experience

• Deep learning for speech (ASR, TTS, VC)

• Experience with Conformer, FastSpeech, or Whisper

• Experience with audio preprocessing

Other Requirements:

• English level B2

• Knowledge of librosa and torchaudio

• Research paper publications (preferred)

Responsibilities:

• Research voice-to-voice translation

• Develop models preserving speaker style

• Design real-time streaming pipelines

• Evaluate models using MOS metrics

• Submit papers to top conferences

Benefits:

• Quarterly bonuses

• Medical insurance with dentistry

• Annual paid leave (31 days)

• Conferences and meetups

• Free mobile communication

Education Requirements:

• Bachelor's or Master's in CS, EE, or Math

Experience Requirements:

• 3–6 years of experience

• Proficiency in Python and PyTorch/TensorFlow

• Experience training deep neural networks

• Experience fine-tuning foundation models

Other Requirements:

• English level B1-B2

• Math background (Linear Algebra, Stats)

• Familiarity with distributed training (SLURM, K8s)

Responsibilities:

• Design and train LLMs and VLMs

• Run experiments and analyze results

• Optimize training and inference pipelines

• Implement distributed training workflows

• Collaborate with product teams

Benefits:

• Medical insurance with dentistry

• Mobile communication compensation

• IT conferences and training

• MTS Premium subscription

• Partner discounts

Education Requirements:

• PhD in Machine Learning or NLP (preferred)

Experience Requirements:

• 1–3 years of experience

• Experience training LLMs

• Knowledge of PyTorch, Transformers, and TRL

Other Requirements:

• Papers at conferences (NeurIPS, ACL, etc.)

• Scientific research interest

• Open-source project experience

Responsibilities:

• Conduct research under senior researchers

• Perform experiments for conference papers

• Develop open-source projects

• Participate in ML competitions