AI Jobs

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• BA/BS preferred in a technical or engineering field

Experience Requirements:

• 5-7 years of experience in a data engineering or data analyst role

• Experience building and maintaining product analytics pipelines

• Experience with relational databases (Snowflake, Redshift, Postgres, etc.)

• Experience with cloud providers like AWS, Azure, GCP

Other Requirements:

• Proficiency in Python, Scala, or R

• Experience with DevOps workflows and tools like DBT, GitHub, Airflow

Responsibilities:

• Architect and deliver scalable data warehouses and analytics platforms

• Partner with Product Manager to shape project roadmap

• Develop, deploy, and support analytic data products

• Maintain and support deployed ETL pipelines

• Instrument telemetry capture and data pipelines

Benefits:

• Opportunity to work on cutting-edge AI projects with a meaningful impact on society

• Collaborative and innovative work environment

• Professional growth and development opportunities

• Competitive salary and benefits package

Experience Requirements:

• 5–6 years of experience in managing data projects

• Experience designing data architectures

• Experience implementing end-to-end data solutions on Microsoft platform

• Hands-on expertise in data warehousing

• Expertise in ETL processes

Other Requirements:

• Strong experience with Microsoft data stack (SQL Server, Azure Data Factory, etc.)

• Excellent communication skills

Responsibilities:

• Build and maintain data pipelines and data warehouse solutions

• Design scalable and efficient data models

• Collaborate with cross-functional teams and stakeholders

• Manage data projects

• Design data architectures

Benefits:

• Competitive salary + equity

• Full health, dental, and vision coverage

• Flexible PTO

• Weekly team lunches

• Hybrid work

Experience Requirements:

• Strong SQL skills and experience working with large, event-based datasets

• Experience building and owning dashboards

• Experience analyzing product usage data and defining meaningful metrics

• Proven ability to define product metrics and analyze product usage

• Strong communication skills and comfort working with cross-functional partners

Other Requirements:

• Product intuition and curiosity about user behavior

• Strong communication skills, including presenting insights in slides or written form

• Bias toward action and iteration in a fast-moving environment

• Experience working on API, platform, or developer-focused products

• Experience with experimentation and A/B testing

Responsibilities:

• Own product metrics & definitions

• Build and maintain dashboards

• Build clear, concise readouts (slides, docs, summaries)

• Perform deep-dive analysis investigating usage or error patterns

• Translate complex data into clear narratives

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401(k) plan + matching

• In-office private chef

• Sponsored personal tax accounting

Education Requirements:

• BS/MS in Computer Science, Mathematics, Statistics, or other quantitative field.

Experience Requirements:

• 3+ years of software engineering experience.

• Demonstrated ability to take ambiguous problems from 0→1 and deliver high-impact outcomes end-to-end.

• Experience with modern UI frameworks like React and web-oriented programming languages like TypeScript.

• Experience with Python and backend frameworks like FastAPI or Django.

• Experience with relational databases like PostgreSQL and familiarity with vector databases and columnar databases.

Other Requirements:

• Creativity in problem solving and strong communication skills.

• Have good character, integrity and respect for others.

Responsibilities:

• Build state-of-the-art systems for agent simulation, evaluation and reinforcement learning environments.

• Develop infrastructure for task generation, synthetic data generation, verifiable reward design and tool simulations.

• Ideate, scope and implement creative RL environments to train agents with human-like capabilities.

• Lead a team of Frontend, Backend, ML, Research, and QA engineers.

• Produce high-quality, reproducible, production-level research code.

Education Requirements:

• Advanced degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• 10+ years designing and building large-scale distributed systems

• At least 4 years focused on GPU-based cloud infrastructure

• Proven experience enabling large-scale AI training, inference, or computer vision workloads

• Deep understanding of petabyte-scale data architecture

• Technical leadership with a track record of defining architectural strategy

Other Requirements:

• Experience with multi-cloud orchestration

• Familiarity with Ray, Kubernetes, Airflow, or Flyte

• Background in safety-critical or real-time inference use cases

Responsibilities:

• Define and evolve architecture for global compute orchestration across thousands of GPUs

• Design systems for petabyte-scale data federation across geographies

• Build foundations for cross-region GPU job execution in hybrid/multi-cloud environments

• Act as a trusted partner to leadership on compute investments and architecture

• Uplift the engineering org through architectural coaching and mentorship

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:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• Demonstrated experience as a Senior Data Engineer

• Experience with Python or functional languages like Scala

• Design and development of big data applications using Databricks or Spark

• Building data products by integrating large sets of internal/external data

Other Requirements:

• Nuanced understanding of code quality and Test Driven Development

• Understanding of Cloud platforms, DevOps, GitOps, and Containers

• Ability to deliver applications end-to-end using CI/CD

Responsibilities:

• Collaborate with Data Scientists to deliver AI and ML systems

• Build frameworks and tooling for complex data ingestion

• Consult clients on data strategy and modernizing infrastructure

• Model data for increased visibility and performance

• Work in short sprints to deliver working software

Education Requirements:

• Currently studying or graduated from a scientific or quantitative field (Preferably MS or PhD)

Experience Requirements:

• Extraordinary quantitative and data management skills

• Proficiency processing large datasets with statistical packages

• Software development experience in Python or C++

• Applied Experience with Machine Learning and Big Data technologies

Other Requirements:

• Innovative and flexible thinking

• Previous experience or course work in finance, business, economics, and/or biostatistics is a plus

Responsibilities:

• Develop AI trading strategies in various financial markets

• Develop AI analyses in genome and/or proteome data in the medical domain

• Work with large data sets and solve difficult, non-routine analysis problems

• Translate unstructured, complex business problems into Machine Learning framework

• Prototype, refine, deploy and monitor predictive models and decisions agents

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Bachelor’s degree

• Master’s degree

• PhD

Experience Requirements:

• Minimum of 8 years of related experience (Bachelor's)

• 6 years experience (Master's)

• 3 years experience (PhD)

• Experience with ETL systems

Other Requirements:

• Strong Python software engineering skills

• Experience with data pipeline orchestration tools (Prefect, Airflow, etc.)

• Hands-on experience with multi-terabyte scale data processing

• Familiarity with AWS

Responsibilities:

• Design and improve data pipelines for large, multi-modal datasets

• Evolve data storage layer to support analytics and efficient access

• Collaborate with ML engineers to improve Python-based data workflows

Benefits:

• Open communication

• Flat hierarchies

• Flexible working models

• Hybrid work model

• Potential for long-term relationship

Education Requirements:

• Student of natural sciences, mathematics, or computer science

• Excellent academic record

• Recent transcript of records

Experience Requirements:

• Knowledge of Python

• Basic computer science algorithms and data structures

• Software engineering principles

• Strong English-language communication skills

Other Requirements:

• Life-long curiosity-driven learner

• Growth mindset and commitment to excellence

• Ability to work in Germany (legally and logistically)

• Duration: 3–6 months

Responsibilities:

• Leverage Python scientific stack, TypeScript or C++

• Developing and/or testing novel deep learning models

• Building user-facing products and features

• Applying models to clients’ research questions

Benefits:

• Premium Medical, Dental and Vision Plan

• Free Daily Breakfast, Lunch and Dinner

• Paid vacations and holidays

• 401K plan

Education Requirements:

• Bachelor's degree or higher in Computer Science, Physics, Software Engineering, Mathematics, or related field

Experience Requirements:

• Proficient in C++

• Familiar with common data structures and algorithms

• Experience with development in a Linux/Unix environment

• Proficient in big data processing and analysis (SQL and Python)

Other Requirements:

• Excellent communication and teamwork skills

• Self-motivated and able to perform well under pressure

• Analytical thinker

• Passion for the autonomous vehicle industry

Responsibilities:

• Create algorithms to evaluate safety, comfort, and performance of AV systems

• Design data pipelines and metric systems to quantify system capabilities

• Aggregate and analyze test data to identify system issues

• Responsible for data visualization and report automation

• Extract high-value traffic scenarios from massive test data

Education Requirements:

• Bachelor’s or Master’s degree in Engineering, Data Science, Business, or a related field.

Experience Requirements:

• 5+ years of Product Management experience, ideally in a data-first company where data is the product.

• Strong customer-facing product experience, including discovery and translating needs into scalable solutions.

• High technical fluency and ability to work effectively with data developers, data scientists, and engineering teams.

• Experience building or managing data products used by AI agents, autonomous systems, or LLM-driven workflows.

• Proven ability to define product success metrics and track KPIs such as adoption, impact, accuracy, and coverage.

Other Requirements:

• Strong analytical mindset and experience using data to drive prioritization and roadmap decisions.

• Excellent communication and stakeholder management skills in a global, cross-functional environment.

Responsibilities:

• Own the strategy, vision, and roadmap for Explorium’s external data products.

• Lead customer discovery and translate insights into scalable product initiatives, requirements, and clear delivery plans.

• Drive prioritization across competing needs, balancing customer value, business impact, feasibility, and time-to-market.

• Lead the end-to-end data product lifecycle: discovery, definition, delivery, launch, adoption, and continuous improvement.

• Collaborate cross-functionally with Data Science, Engineering, Sales, CS, and Partnerships to validate use cases.

Experience Requirements:

• 3+ years of industry experience with building data-intensive platforms

• 3+ years of hands-on experience programming in Python

• Experience with working with complex data sets

• Experience with Databases, SQL and NoSQL, and Data modeling

• Experience working with cloud compute and storage services on AWS/GCP/Cloudflare

Other Requirements:

• Experience with TypeScript programming - advantage

• Experience with building Machine Learning models - advantage

• Experience with building with LLMs or transformer models - advantage

• Experience with designing data lakes - advantage

• Experience with building MCP servers - advantage

Responsibilities:

• Design and implement complex end-to-end data pipelines including data extraction, feature engineering, data quality and data serving

• Work with Large Language Models and AI agents to deliver high scale, high quality features for customers

• Build and maintain MCP servers and AI application infrastructure

• Take ownership of a true research project from POC to production

• Contribute to a wide variety of projects using a range of technologies and tools

Experience Requirements:

• 2-5 years

Responsibilities:

• Analyze user behavior

• Improve our AI models

• Drive data-informed product decisions

Benefits:

• Unlimited PTO

• Free lunch at the office

• Medical

• Dental

• Vision

Experience Requirements:

• experienced full stack/ back-end focused developer

Responsibilities:

• build an innovative solution for our enterprise-focused application

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field

• Masters/PhD in Data Science, Machine Learning or AI (Desired)

Experience Requirements:

• Relevant data science or machine learning engineering experience

• Programming experience, preferably fluent with Python and SQL

• Familiar with fundamental machine learning theory

• Experience with at least one Cloud provider

• Experience with building training and inference pipelines for ML projects

Other Requirements:

• Strong analytical skills and passion for solving data problems

• Strong communications skills

• Understanding of database architectures

• AWS certifications

• Interested in learning more about Cloud Native Computing Foundation technologies

Responsibilities:

• Exploratory data analysis

• Implementing data pipelines

• Training models (machine learning or not)

• Data visualisation

• Communicate effectively with both business and technical stakeholders

Benefits:

• Front-row seat to how a YC-backed deep tech company is built

• Direct exposure to startup leadership

• Flexible working hours

• Competitive compensation tailored to experience

Experience Requirements:

• At least 2-3 years of recent experience at top companies

Other Requirements:

• Fluent in English

• Strong analytical and quantitative skills

• Clear and precise communication

• Daily experience using LLMs

• Daily experience with Engineering software

Responsibilities:

• Create tasks that replicate E2E Engineering Workflows

• Create or acquire necessary data for the workflow

• Create tasks and decision points within the workflow

• Provide solution to decision points with justifications

Benefits:

• Generous compensation in cash and equity

• Flexible paid time off

• Health insurance coverage

• Annual health and wellness stipend

• Monthly meal stipend

Education Requirements:

• Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, etc.)

Experience Requirements:

• 5+ years of experience in data science or quantitative modeling

Other Requirements:

• Strong working knowledge of Python, R, Spark, or SQL

• Critical thinking and problem-solving skills

• Ability to explain technical findings to non-technical stakeholders

Responsibilities:

• Build and deploy ML models to prevent fraud

• Support development of risk mitigation strategies

• Work directly with clients to deliver solutions

• Evolve risk metrics and measurement of impact

• Collaborate with engineering to scale models

Benefits:

• Private medical care

• Multisport card

• Flexible working hours

• English lessons

• Training budget

Experience Requirements:

• Good knowledge of Python and SQL

• Experience with cloud computing platforms (Azure/GCP/AWS)

• Experience with containerization technologies (Docker/Kubernetes)

• Experience with ETL and Big Data elements (Spark, Kafka, etc.)

• Experience with data-wrangling libraries such as Pandas or Polars

Other Requirements:

• Interest in the AI/ML area

• Proactive approach to problem-solving

• Basic experience in DevOps

Responsibilities:

• Designing, developing, and maintaining data pipelines (ETL/ ELTs)

• Working with a variety of data sources

• Ensuring the stability and performance of data pipelines

• Collaborating with Data Scientists, Software Engineers, and other specialists

• Analyzing new potential data sources and integrating them to existing pipelines