AI Jobs

Experience Requirements:

• 5+ years of hands-on experience in AI, Machine Learning, and Data Science

• Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning

• Experience working with OCR, ASR, and TTS applications in real-world deployments

• Proven experience deploying AI models in production at scale

• Proficiency in Python, PyTorch, and transformer-based architectures

Other Requirements:

• Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures

• Strong awareness of AI system performance benchmarks (latency, speed, throughput)

• Experience with cloud computing and containerization (Docker, Kubernetes)

• Support language-specific adaptation for Traditional Chinese, Simplified Chinese, Japanese, or Korean markets

Responsibilities:

• Develop and deploy AI models for unstructured data with a focus on enterprise-scale performance

• Fine-tune, optimize, and deploy LLMs and multimodal models integrating distributed training

• Design and implement production-ready AI solutions ensuring scalability and low-latency inference

• Build and maintain end-to-end LLM Ops pipelines for training, deployment, and monitoring

• Implement vector search and retrieval-augmented generation (RAG) systems

Benefits:

• Equity in a fast-growing startup

• Competitive benefits package

• Flexible time off policy

• Parental Leave

• A fun-loving and nerdy team

Experience Requirements:

• 5+ years building production machine learning systems

• Strong background in NLP and search/recommendation systems

Other Requirements:

• Expertise across ML approaches (XGBoost, Transformers, RL)

• Proven ability to optimize models for latency and cost

Responsibilities:

• Design and deploy end-to-end machine learning systems

• Build systems that analyze AI search behavior

• Create algorithms for AI agent discovery and ranking

• Collaborate with product managers on technical solutions

Benefits:

• Equity in a fast-growing startup

• Competitive benefits package

• Flexible time off policy

• Parental Leave

• A fun-loving and nerdy team

Experience Requirements:

• 5+ years building production machine learning systems

• Strong background in NLP and search/recommendation systems

Other Requirements:

• Deep expertise in classical and modern deep learning architectures

• Ability to take models from research to production

Responsibilities:

• Design and deploy end-to-end machine learning systems

• Build ML systems that analyze AI search behavior

• Partner with product managers to translate requirements into solutions

• Influence architecture decisions and improve team practices

Benefits:

• Revolutionizing the antiquated $800B+ Healthcare market

• Team of 50%+ ex-founders

• Work with urgency, autonomy, and ownership

• Solve first-of-their-kind problems in AI and medicine

• Help doctors reclaim time and patients get better care

Experience Requirements:

• Proven experience in agentic processes and LLM eval

• Strong Python and ML background (PyTorch, Hugging Face)

• Published research or deep applied work in LLMs

• Experience designing rigorous experiments

• Strong communication and technical writing skills

Other Requirements:

• Entrepreneurial core

• Elite teammate

Responsibilities:

• Build and scale automated evaluation pipelines

• Audit existing evaluation approaches

• Define benchmarks and automated pipelines

• Partner with engineering for CI gates

• Deliver repeatable evaluation framework

Benefits:

• Competitive salary and equity packages, including a 401k

• Remote-first culture — work from anywhere

• 100% Employer covered comprehensive health insurance

• Unlimited PTO policy

• Regular team events and offsites

Experience Requirements:

• 3+ years of experience in data science, machine learning, or a related field

• Proficiency in Python

• Experience working with large datasets using distributed systems like Apache Spark and Dask

Other Requirements:

• Strong knowledge of machine learning algorithms

• Excellent analytical and problem-solving skills

• Experience in fintech, marketplaces, or financial services industry is preferred

• Knowledge of current fraud tactics and trends

Responsibilities:

• Develop and implement advanced fraud detection models

• Collaborate with cross-functional teams to design systems

• Analyze large volumes of data for fraud patterns

• Evaluate performance of existing fraud detection models

• Communicate complex data analysis to stakeholders

Benefits:

• Competitive salary and equity packages, including a 401k

• Remote-first culture — work from anywhere

• 100% Employer covered comprehensive health insurance

• Unlimited PTO policy

• Regular team events and offsites

Experience Requirements:

• 3+ years of experience in data science, machine learning, or a related field

• Proficiency in Python

• Experience working with large datasets using distributed systems like Apache Spark and Dask

Other Requirements:

• Fluency in cloud development (AWS, GCP, Azure, etc.) and MLOps is a plus

• Strong knowledge of machine learning algorithms and statistical techniques

• Excellent analytical and problem-solving skills

• Strong communication skills

Responsibilities:

• Develop and implement advanced fraud detection models

• Collaborate with cross-functional teams to design systems

• Analyze large volumes of data to identify patterns and trends

• Evaluate and optimize performance of existing models

• Stay up-to-date with latest trends in fraud detection and ML

Benefits:

• Daily collaboration with founders

• Exposure to design and research leaders at top global brands

• Competitive cash and equity compensation

Experience Requirements:

• 5+ years in research, insights, or strategy roles

• Strong qualitative research experience

Other Requirements:

• Comfortable owning projects and client relationships independently

• Fluent in both numbers and narratives

• Clear, confident communicator

Responsibilities:

• Own customer relationships end-to-end as a research partner

• Independently scope, design, and run research projects

• Turn qualitative and quantitative data into clear, actionable insights

• Lead customer meetings, onboardings, and training sessions

• Create research and product-focused content and enablement materials

Benefits:

• Competitive salary

• Bonus

• Employee Stock Purchase Program (ESPP)

• Premium Collective Health Insurance Plan

• Premium Collective Pension Scheme

Experience Requirements:

• 8–10+ years in information science or related discipline

• Substantial time in consulting or advisory roles

• Knowledge of W3C semantic standards (RDF, SKOS, OWL)

• Consultative approach with enterprise customers

• Hands-on experience with semantic technologies

Other Requirements:

• Experience with text analytics and rule-based auto-tagging systems

• Practical experience with REST-based APIs

• Background working with cross functional teams (Product, CS, AI)

• Familiarity with consultative frameworks

Responsibilities:

• Lead in-depth discovery of business objectives and ecosystems

• Facilitate workshops and advisory sessions

• Define and oversee design of thesauri, ontologies, and taxonomies

• Develop complex classification strategies

• Lead complex client engagements as senior consultant

Benefits:

• Generous remuneration package

• Employee Stock Purchase Plan Enrollment

• 25 vacation days annually

• Pension plan

• Private health insurance

Experience Requirements:

• 8–10+ years in information science or related discipline

• Substantial time in consulting or advisory roles

• Knowledge of W3C semantic standards (RDF, SKOS, OWL)

• Consultative approach with enterprise customers

• Hands-on experience with semantic technologies, taxonomies, and ontologies

Other Requirements:

• Experience with text analytics and rule-based auto-tagging systems

• Practical experience with REST-based APIs

• Experience in highly regulated or content rich industries

• Familiarity with consultative frameworks (discovery, journey mapping)

Responsibilities:

• Lead in-depth discovery of business objectives and ecosystems

• Facilitate workshops on semantic modeling and taxonomy design

• Act as a trusted advisor to business and technical stakeholders

• Define and oversee design of thesauri, ontologies, and taxonomies

• Develop complex classification strategies

Education Requirements:

• Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

• 1 year of related experience in data analytics

Responsibilities:

• Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

• Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

• Develop and implement predictive models to support product strategy and decision-making

• Define key performance indicators (KPIs) and develop dashboards to monitor product performance

• Conduct A/B testing and other experimental methods to measure the impact of product changes

Experience Requirements:

• Training Stable Diffusion models to a high degree of fidelity

Other Requirements:

• Willingness to relocate within the Continental United States or work remotely

Responsibilities:

• Training Stable Diffusion models for use in professional applications

Benefits:

• Klue Enablement Program

• DEI education and initiatives

• Inclusive workplace culture

Benefits:

• Competitive base + performance-based compensation

• Unlimited PTO

• Generous healthcare coverage for you and your family

• Home office and productivity setup stipend

• Professional development budget and executive coaching access

Experience Requirements:

• 8-12 years of escalating levels of responsibility in a role blending data analytics and operations

• SQL/NoSQL/Python for data extraction at an expert level

• Spreadsheet-based workflows at an expert level

• Data visualizations

• Able to structure work at program level, independently managing toward a goal

Other Requirements:

• Project management across Research, Engineering, Product

• Data cleansing/debugging/RCA with messy data

Responsibilities:

• Identify and evaluate opportunities to improve data quality across the organization

• Develop creative solutions to resolve complex data issues

• Direct Research projects to uncover opportunities and drive progress on cleanup

• Prioritize Engineering efforts and track results over time to meet deadlines

• Leverage expert-level proficiency in Python, SQL, and NoSQL to transform, cleanse, and extract data

Benefits:

• ‡2000–4000 gross salary depending on the experience

• Remote work option

• Ability to grow with a dynamic startup and work on an exciting product

• Freedom to experiment with your ideas

Experience Requirements:

• At least 2 years of experience in a similar role

Other Requirements:

• Experience working with data in Python

• Experience with Looker, Tableau, or other business analytics tools

• Knowledge of SQL and NoSQL databases

Responsibilities:

• Find meaningful business insights in large-scale data

• Visualize the data, create dashboards and reports for the business

• Import and transform data for machine learning models

• Optimize the data collection, storage, and analysis on a large scale

Benefits:

• Offers Equity

Other Requirements:

• San Francisco based or open to relocating

Benefits:

• Flexible Work

• Professional Development

• Mentoring programs

• Courses and certifications

• Innovative Environment

Experience Requirements:

• Experience with ML algorithms

• Knowledge of natural language processing

• Familiarity with AI tools

Responsibilities:

• Develop advanced machine learning models for SEO optimization

Benefits:

• $700/month stipend ($800/month on campus)

• Portfolio-ready output and fellowship title

• Influence an ethical AI product roadmap

• Mentorship and networking with product team

• Flexible workload

Education Requirements:

• Currently open to students

Experience Requirements:

• Show ability to think critically and use Litero

Other Requirements:

• Open to students in the US, UK, Canada, Australia, or New Zealand

• Sign a short freelance agreement

• Complete a short essay task inside Litero

• Submit 100-word motivation

Responsibilities:

• Investigate student AI usage in academic contexts

• Design and run research micro-projects

• Produce guides, posts, or reports from discoveries

• Present findings to the Litero team

• Collaborate with other fellows

Benefits:

• Monthly donations to nominated causes

• Professional growth opportunities

• Ownership over projects

• Collaboration-focused culture

• Inclusive environment

Responsibilities:

• Help other brands and agencies grow

• Work on AI-powered SEO tools

• Collaborate in a hierarchy-free team

• Shape the future of digital marketing

Responsibilities:

• Work in a small, focused team with room to own your ideas

• Build technology that has a clear, human impact

• Collaborate with partners and customers around the world

Benefits:

• Meaningful equity

• Competitive salary

• Comprehensive benefits package

Education Requirements:

• PhD degree in Computer Science, Computational Physics, Mathematics, or a similar field (preferred)

Experience Requirements:

• Research background in AI, Machine Learning, or Physics

• Experience solving analytical problems with quantitative approaches

• Experience coding in C/C++ or Python

• First-authored publications at peer-reviewed conferences (preferred)

• Experience with ML frameworks such as PyTorch or Jax (preferred)

Other Requirements:

• Experience communicating research to diverse audiences

• Must work full-time on-site at San Mateo office

Responsibilities:

• Conduct foundational research to advance LLMs and multimodal systems

• Design, implement, and evaluate novel model architectures

• Collaborate with engineering teams to transition prototypes to production

• Analyze empirical results and identify performance bottlenecks

• Contribute to internal research strategy