AI Jobs

Responsibilities:

• Creating and implementing the user interface and user experience

• Integrate AI functionalities with intuitive, high-performance web applications

Responsibilities:

• Designing, implementing, and maintaining integrations between our AI products and external systems

• Work closely with our development, product, and customer success teams

Benefits:

• Equity: 0.1% – 1.5%

Benefits:

• Equity: 0.1% – 1%

Benefits:

• Equity: 0.5% – 1.5%

Benefits:

• Equity: 0.3% – 0.5%

• 15% commission of new ARR closed

• Accelerators up to 22.5% for over-quota

• Commission: $127.5K – $212.5K

Experience Requirements:

• At least 1 year of work experience

• Preferred: 3+ years experience training and fine tuning ML models in production

• Preferred: Product ML experience building recommender systems

Other Requirements:

• Experience using LLMs to solve real world problems

• Proficiency in python, numpy, pytorch

• Attention to detail, willingness to debug data quality issues and solve learning problems end to end

• Preferred: Additional proficiency in Typescript, Rust, C++

Responsibilities:

• Fine tune embeddings and LLMs for better search, RAG, and question answering

• Prompt engineer RAG and other systems for question answering, data mining, and other tasks

• Collect analytics and mine them for product insights

• Build search and recommender systems to automatically improve the product over time

• Build real time LLM experiences using optimizations and tricks to provide results to users faster

Experience Requirements:

• At least 1 year of work experience

Other Requirements:

• Experience with React, Typescript, and Python

• Familiarity with LLMs

• Ability to use tailwind and CSS to create new frontend components

• Willingness to manage and build backend infrastructure for databases

• Preferred: Familiarity with GCP

• Preferred: Experience prompting

• Preferred: Additional languages like Lua, Rust, Haskell

Responsibilities:

• Design and implement systems to manage user data for LLM context and retrieval

• Build UI components and end to end UX for LLM based products

• Design systems using databases, web services, and UI components to solve interesting product problems

• Collect analytics, monitoring, and tracing to debug production issues and understand usage and users

• Build search and recommender systems to automatically improve the product over time

Benefits:

• flexible work schedule

• unlimited PTO

• competitive healthcare

• gear stipends

• plenty of fun

Experience Requirements:

• 5+ years of recruiting experience

• ideally in-house experience as first recruiter at early-stage startup

• proven success hiring top-tier talent across all functions

• experience hiring technical AI/ML roles

• agency experience a plus

Other Requirements:

• passion for AI

• highly organized

• self-directed

• experience with Ashby

Responsibilities:

• find and hire exceptional talent

• own end-to-end recruiting across all functions

• source exceptional candidates through outbound efforts

• partner with founders and hiring managers on strategy

• build recruiting infrastructure from the ground up

Benefits:

• flexible work schedule

• unlimited PTO

• competitive healthcare

• gear stipends

• plenty of fun

Experience Requirements:

• extremely solid software engineering fundamentals

Other Requirements:

• deep curiosity about problems from ML to networking

• desire to work closely with end users

• ability to see patterns in customer requests

• strong bias toward action

• founder mindset

Responsibilities:

• work with customers to debug, build POCs, and design solutions

• build prototypes, SDKs, sample apps, and tools

• collect feedback and translate it into product improvements

• partner on early feature adoption and testing

• help define a world class customer experience

Benefits:

• flexible work schedule

• unlimited PTO

• competitive healthcare

• gear stipends

• plenty of fun

Experience Requirements:

• 4+ years of experience designing digital products

• compelling portfolio showcasing builder interactions

Other Requirements:

• passionate about human-computer interaction

• strong Interaction Design, Visual Design, and Motion Design skills

• AI native

• self-starter with an owner mindset

Responsibilities:

• lead the design of developer portal and builder experience

• craft intuitive interfaces and engaging user experiences

• develop sketches, interactive prototypes, and polished designs

• continuously refine user journeys and interactions

• collaborate with cross-functional teams on innovative solutions

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

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

Education Requirements:

• PhD (or near completion) in a relevant field or equivalent experience

Experience Requirements:

• experience applying image/video generation models

• foundations in generative modeling

• deep familiarity with diffusion models

• understanding of video-language models and multimodal generation

• proficiency in PyTorch and GPU-based inference

Other Requirements:

• experience with long-video or audio generation

• skills in 3D graphics or Gaussian splatting

• publications in top-tier venues (CVPR, NeurIPS, etc.)

• familiarity with software engineering best practices

Responsibilities:

• research and develop audio-visual generation models

• focus on models coupled with conversation flow

• experiment with diffusion models and long-video generation

• collaborate with Applied ML team for production implementation

• stay ahead of latest advancements in multimodal generation

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, 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 (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