AI Jobs

Benefits:

• Flexibility and freedom of remote work

• Flexible and inclusive work environment

Responsibilities:

• Help us research the future of remote work with AI

Benefits:

• Gain valuable experience in the growing field of artificial intelligence and its application in diverse business settings

Education Requirements:

• A bachelor or higher degree in linguistics, communication, psychology, social sciences, literature, or equivalent.

Experience Requirements:

• Excellent reading and writing skills in casual and business English

• Experience in managing multiple projects by deadlines

• Experience in writing dialogs such as screenplays

• Experience in labeling conversational text for analysis

• Computer science training

Other Requirements:

• Open-minded, multi-talented individuals

• Sensitive to the nuances of interpersonal communication

• Adept at writing conversations

• Comfortable working with customers and as well as with new technologies

Responsibilities:

• Teach our AI assistants natural language understanding and communication skills

• Deliver fun and satisfying conversational experience

Education Requirements:

• M.Sc. with 3+ years of experience

• B.Sc. with 5+ years of experience

• PhD in Computer Science, or a related technical field (Preferred)

Experience Requirements:

• Hands-on experience building real AI/ML systems

• Deep expertise in retrieval, embeddings, ranking, and vector search

• Knowledge of LLMs, model training, and fine-tuning

• Proven ability to take systems from idea to high scale production

• Comfortable working with modern open-source models and tooling

Other Requirements:

• Strong experimental rigor

• Publications in top-tier conferences (Nice to have)

• Experience leading projects or mentoring others (Nice to have)

Responsibilities:

• Push search quality beyond SOTA

• Lead research at the frontier of information retrieval and model fine-tuning

• Design and lead development of internal/public benchmarks

• Architect and productionize end-to-end ML systems

Education Requirements:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field

• Master’s degree in a relevant field – preferred

Experience Requirements:

• 3+ years of experience in Data Science

• Strong statistical background

• Solid understanding of classical machine learning models and algorithms

• Proficiency in Python and SQL

• Experience with modern AI coding tools (e.g., Claude Code, Cursor)

Other Requirements:

• Experience working with Git

• Data warehouses and platforms such as Snowflake and/or Databricks

• Experience working in modern data environments and pipelines

• Experience working in production environments

Responsibilities:

• Develop, implement, and maintain machine learning models on business-related data

• Apply statistical methods to analyze large, complex datasets and extract actionable insights

• Partner with stakeholders across Product, GTM, and Business teams to identify opportunities

• Support deployment, evaluation, and monitoring of models in production environments

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Degree in a quantitative field, or equivalent work experience

• Advanced degree is preferred

Experience Requirements:

• 3+ years working experience in data science, data analysis, or analytics engineering

• 2+ years experience working with massive real-life datasets

• Extensive understanding of supervised and unsupervised machine learning methods

• Proficiency writing clean, performant code in Python

• Experience querying relational databases with SQL

Other Requirements:

• Experience with cloud tools in AWS, Azure, Databricks, or GCP

• Excellent verbal and written communicator

• Experience in identity verification and fraud prevention strongly preferred

Responsibilities:

• Analyze massive customer data sets and provide actionable insights

• Act as a Data Science advocate to educate and influence customers

• Create convincing data stories to showcase model performance

• Provide thought leadership for next generation core models

• Create tools and automated workflows to improve analysis speed and accuracy

Benefits:

• Multi-agent systems development for production

• Work with cutting edge research experts

• Bonus program

• Training budget

• Chance to develop and grow

Education Requirements:

• M.Sc. in data science, machine learning, or similar quantitative field

• PhD in quantitative field (preferred)

Experience Requirements:

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

• 2–3 years in leadership or team lead capacity

Other Requirements:

• Client facing experience in technically driven project communications

• Strong applied knowledge of supervised and unsupervised machine learning

• Proficiency in Python and deep learning frameworks

• Working knowledge of SQL/NoSQL/Vector databases

• Fluency in English (written and spoken)

Responsibilities:

• Translate the department’s strategic vision into actionable data science projects

• Oversee and support design and implementation of scalable AI and data science solutions

• Manage project prioritization, resources, and timelines

• Provide strategical oversight and architectural guidance for data science solutions

• Mentor and support the professional growth of data scientists and engineers

Benefits:

• Equity

• Benefits

• Generous benefits package

Education Requirements:

• Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.

Experience Requirements:

• At least 1+ years of relevant PostDoc or Industry research experience

• Excellent knowledge of theory and practice of AI

• Outstanding research and publication track record

• Excellent programming skills in Python

• Knowledge of common machine learning frameworks like PyTorch

Other Requirements:

• C++ and parallel programming (CUDA) is a plus

• Excellent communications skills

Responsibilities:

• Research, design and implement AI 4 Science methods

• Publish original research

• Collaborate with other team members

• Mentor interns

• Speak at conferences and events

Benefits:

• Hourly compensation between $30-40 USD

• Fully remote environment

• Flexible work hours

Other Requirements:

• Attend meetings during UTC-7/8 (Pacific Time)

• Ability to work independently

• Attention to detail

• Understanding of technical AI topics

• Professional level English proficiency

Responsibilities:

• Parsing machine learning papers or leaderboards

• Accurately extracting and compiling technical details

• Producing estimates of metrics for AI infrastructure

Benefits:

• Annual salary between $100,000 and $250,000 USD

• Remote environment with flexible hours

• Comprehensive health insurance and pension plan

• Generous PTO (30 days protected)

• Paid work trips and staff retreats

Experience Requirements:

• Prior research experience in at least one part of the AI pipeline

Other Requirements:

• Overlap with UTC–8 (Pacific Time)

• Estimation and forecasting skills

• Strong coding skills for data analyses

• Excellent written and verbal communication skills

• Professional level English proficiency

Responsibilities:

• Pitching and developing new research projects

• Making estimates and forecasts

• Tracking new model releases and benchmarks

• Evaluating technical claims and reports

• Managing multiple workstreams

Benefits:

• Environment prioritizes learning, innovation, and growth

• Work with cutting-edge technologies

• Contribute to global business solutions

• Culture values curiosity and continuous learning

Education Requirements:

• Graduate degree in a quantitative discipline or equivalent experience

Experience Requirements:

• 3-5 years of hands-on industry data science experience

• Experience building production-grade ML deployments

• Experience with NLP, vector databases, and LLM deployment

• 2+ years customer-facing experience (preferred)

• Experience communicating technical concepts

Other Requirements:

• Experience with TensorFlow/PyTorch

• Experience with Apache Spark (preferred)

• Experience with Databricks platform (preferred)

• Passion for life-long learning

• Meet expectations for technical training within 3 months

Responsibilities:

• Build and productionize customer data science workloads

• Develop LLM solutions (RAG architectures)

• Advise data teams on architecture and best practices

• Provide technical mentorship to the SME community