Experience Requirements:

• Highly resourceful individual with strong emotional intelligence

• Self-motivation and analytical skills

Responsibilities:

• Supporting the CEO and executive team to execute strategic initiatives

• Ensure operational excellence across the company

Responsibilities:

• Ensuring the quality of our data pipelines and AI models

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:

• 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

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

Education Requirements:

• Degree in a STEM field or equivalent hands-on experience

Experience Requirements:

• 3+ years as a software engineer or technical consultant with strong coding proficiency

Other Requirements:

• Proficiency in Python, JavaScript/TypeScript, or similar

• Strong customer-service orientation

• Excellent verbal and written communication skills

Responsibilities:

• Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)

• Guide customers through installing, configuring, and optimizing Devin and associated tools

• Pair-program with engineers at varying experience levels to build, debug, and automate real projects

• Identify high-ROI workflows for Devin across engineering, QA, support, data, and product teams

• Create enablement materials, best practices, and shared playbooks based on customer learnings

Experience Requirements:

• Track record of pursuing excellence at high levels, in any domain

• Experience scoping and shipping features in collaboration with product and engineering teams

Other Requirements:

• Strong engineering foundation

• Proficiency in Python, TypeScript, or similar

• Comfort operating across many contexts simultaneously

• Experience with enterprise infrastructure (cloud deployments, networking, security)

Responsibilities:

• Operate across strategic accounts, providing technical depth on complex engagements

• Own the technical direction and success of customer accounts and deployments

• Translate customer pain points into product direction: scope requirements, define solutions, and drive implementation

• Build product extensions and integrations using Cognition’s APIs and platform primitives

• Architect and maintain complex enterprise deployments