AI Jobs

Benefits:

• flexible work schedule

• unlimited PTO

• competitive healthcare

• gear stipends

• plenty of fun

Experience Requirements:

• fluent in Python

• knowledge of open-source agent frameworks

• experience building production-grade LLM-based agentic systems

• experience with GPU management

• extensive experience with low level systems

Other Requirements:

• senior mindset

• excellent communication skills

• experience with decentralized systems

Responsibilities:

• own development of agentic systems like RAG and Memories

• shape how users interact with real-time systems

• contribute across the full product stack

• ensure observability and reliability of systems

• partner with research and CVI teams

Benefits:

• flexible work schedule

• unlimited PTO

• competitive healthcare

• gear stipends

• plenty of fun

Experience Requirements:

• fluent in Python

• experience with IPC, multiprocessing, and async frameworks

• experience with video streaming over WebRTC

• experience working with LLMs and agentic frameworks

• extensive experience with low level systems

Other Requirements:

• senior mindset

• ability to communicate complex topics with clarity

• thrives in ambiguous and fast changing space

Responsibilities:

• own development and delivery of new features in CVI codebase

• partner with research team to integrate real time models

• contribute across the full product stack

• ensure reliability and uptime

• shape future of user interaction with SoTA models

Responsibilities:

• Contribute to the content and PR calendar

• Conduct market and competitor analyses

• Help build our SEO strategy

• Conceive, plan, automate, and optimize (blog) posts, newsletters, webinars, etc.

• Create various types of content (copy, images, interviews, videos, webinars, e-books, etc.) in NL & ENG

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field

Experience Requirements:

• 3+ years of experience addressing sophisticated ML problems

• Experience building and training autonomous agents

• Constructed and evaluated agentic benchmarks

• Track record of publications in top-tier AI/ML venues

Other Requirements:

• Proficient in Python and deep learning frameworks

• Adept at turning research ideas into prototypes

• Deep understanding of frontier models and post-training

Responsibilities:

• Create frameworks to benchmark autonomous agent capabilities

• Design agent-focused data programs using SFT and RL

• Develop data pipelines from code, web, and GUI sources

• Implement open-source agent libraries

• Engage with frontier AI labs and research community

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field

Experience Requirements:

• 3+ years in solving complex ML challenges

• Proven experience in delivering impactful ML solutions

• Expertise in data quality measurement systems

• Deep understanding of frontier AI models

• Track record of publishing in top-tier AI/ML conferences

Other Requirements:

• Proficiency in Python

• Experience with PyTorch, JAX, or TensorFlow

• Strong analytical and problem-solving skills

• Exceptional communication and collaboration skills

Responsibilities:

• Advance AI alignment methods (RLHF, DPO)

• Improve human-in-the-loop data quality

• Develop AI-assisted data labeling tools

• Shape next generation of AI models

• Optimize human feedback collection

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Ph.D. or Master’s degree in Computer Science, Machine Learning, AI (in progress acceptable)

Experience Requirements:

• Track record of publishing in top-tier AI/ML conferences

• Experience with training data quality construction

• Passion and experience for LLM evaluation

Other Requirements:

• Proficiency in Python

• Experience with PyTorch, JAX, or TensorFlow

• Deep understanding of frontier multimodal models

Responsibilities:

• Build evaluation and benchmark suites for LLMs

• Create post-training datasets at scale

• Prototype RLHF/DPO-style training loops

• Ship research improvements into product workflows

• Engage with customer research teams

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Master’s degree or higher in Computer Science, Engineering, Math, or AI

Experience Requirements:

• Prior experience leading LLM projects

• Experience working with data quality or dataset diversity

Other Requirements:

• Proficiency in Python and data analysis

• Exceptional communication skills

• Strong project management skills

Responsibilities:

• Work with AI labs to define data strategies

• Build scalable human data pipelines

• Develop and optimize Python scripts for data processing

• Define engineering requirements for human data tools

• Manage elite network of AI experts

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Master’s degree or higher in Computer Science, Engineering, Math, or AI

Experience Requirements:

• Strong experience with Python and backend APIs

• Experience with production-grade data pipelines

• Experience with robotics datasets (video, LiDAR, pose)

• Experience with evaluation or reliability systems

• Prior experience leading LLM projects

Other Requirements:

• Experience with cloud environments (GCP/AWS)

• Hands-on experience with robotics perception stacks

Responsibilities:

• Build ingestion pipelines for robotics video and sensor logs

• Architect scalable labeling workflows with version control

• Implement automated QA flows using LLM-based validation

• Create dynamic trust scoring systems

• Monitor throughput and accuracy for robotics projects

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, or a related field

Experience Requirements:

• 2+ years of experience in a software or machine learning engineering role

• Experience using frontend frameworks (React/Redux)

• Experience with backend systems (Python, Java, GraphQL)

• Knowledge of scalable database systems (PostgreSQL, NoSQL)

Other Requirements:

• Proficiency in leveraging AI tools for development (Cursor, Copilot)

• Excellent communication and collaboration skills

Responsibilities:

• Design and ship complete end-to-end product features

• Build human-in-the-loop systems for AI training

• Implement tooling for RLHF and preference data workflows

• Leverage LLMs to assist in the review loop

• Design evaluation frameworks for multimodal models

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Experience Requirements:

• 7+ years managing enterprise sales cycles

• Experience closing $5M–$20M+ annual agreements

• Demonstrated success engaging C-suite executives

• Experience selling AI, ML, or human-data services

Other Requirements:

• Expert in multi-threaded sales

• Consultative and strategic approach

• Excellent written and verbal communicator

Responsibilities:

• Cultivate $20M+ enterprise opportunities across AI labs

• Map and engage decision-makers across research and engineering

• Lead end-to-end deal execution for human-data solutions

• Expand wallet share within strategic enterprise accounts

• Build executive-level narratives and thought leadership

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

• Bachelor’s degree or higher in STEM fields (CS, Engineering)

Experience Requirements:

• At least 5 years of Program Management experience

• Experience managing data projects for AI

• Working proficiency in SQL and Python

Other Requirements:

• Strong understanding of LLMs and prompt engineering

• Familiarity with BI tools like Looker

• Familiarity with project tools like JIRA or Notion

Responsibilities:

• Lead cross-functional AI data annotation projects

• Partner with AI Labs to define success metrics

• Translate strategy into execution action plans

• Proactively identify and resolve project dependencies

• Communicate risk mitigation to leadership

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 understanding of cloud computing and containerization (Docker, Kubernetes)

• Deep understanding of multimodal architectures and model distillation

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

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

Education Requirements:

• Bachelor's degree or equivalent experience

Experience Requirements:

• 5+ years of experience in software development

• 1+ year working with Ruby on Rails (optional)

Other Requirements:

• Extensive experience with React, TypeScript, and CSS

• Experience with Figma for creating responsive designs

Responsibilities:

• Lead the design and implementation of new user-facing features

• Collaborate with backend engineers to integrate APIs

• Take responsibility for frontend codebase integrity

• Participate in code reviews and maintain quality standards

Benefits:

• Equity in a fast-growing startup

• Competitive benefits package

• Flexible time off policy

• Parental Leave

• A fun-loving and nerdy team

Experience Requirements:

• 4-6+ years in technical support, solutions engineering, or CSM

• 2+ years of people management experience

Other Requirements:

• Hands-on technical expertise with LLMs and prompt engineering

• Experience with workflow automation tools (Zapier, Make, n8n)

• Player-coach mentality

Responsibilities:

• Recruit, hire, onboard, and coach a technical support team

• Design and implement an AI-first support strategy

• Serve as the ultimate escalation point for complex technical issues

• Establish SLAs and quality metrics

• Partner with Solutions Architects for customer handoffs

Benefits:

• Equity in a fast-growing startup

• Competitive benefits package

• Flexible time off policy

• Parental Leave

• A fun-loving and nerdy team

Experience Requirements:

• 8+ years in data roles

• 3+ years leading teams

Other Requirements:

• Strong background in both data engineering and data science

• Expert SQL and Python proficiency

Responsibilities:

• Own end-to-end data platform (batch and streaming)

• Run the data warehouse with strong performance and cost management

• Build ML systems that analyze AI search behavior

• Partner with Product and GTM teams on tracking plans

• Build and lead the data team

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:

• 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:

• 3+ years of experience in ML engineering or AI/LLM integration

Other Requirements:

• Proven track record of building LLM-powered applications

• Experience with foundation models like GPT-4o and Claude

• Deep understanding of RAG and contextual AI response optimization

Responsibilities:

• Develop and integrate LLM-powered features

• Optimize AI performance through prompt engineering and RAG

• Build and scale AI infrastructure

• Implement AI observability and safeguards

• Collaborate with early adopters to optimize model performance

Benefits:

• Equity in a fast-growing startup

• Competitive benefits package

• Flexible time off policy

• Parental Leave

• A fun-loving and nerdy team

Education Requirements:

• Bachelor's degree in Computer Science or equivalent experience

Experience Requirements:

• 5+ years of experience building production-ready software

Other Requirements:

• Proficiency in Ruby on Rails and React

• Experience with PostgreSQL, Redis, and RESTful APIs

Responsibilities:

• Design, develop, and maintain full stack features

• Expand and improve the integrations framework

• Write clean, scalable, and well-tested code

• Mentor teammates and uphold engineering best practices

• Stay up-to-date with AI and web technologies