AI Jobs

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• 4+ years of experience in applied ML or research engineering

• Production experience with agentic/LLM systems

• Experience bringing work from prototype to production

• Strong on ML fundamentals and statistical modeling

• Experience running end-to-end evaluation pipelines

Other Requirements:

• Proficient in Python and Typescript

• Strong problem-solving skills for maintainable code

• Identify as a builder

• Excited to work in-person in New York

• Thrive in a fast-paced iterative environment

Responsibilities:

• Run experiments across research areas and analyze results

• Build evaluation infrastructure and pipelines

• Explore research directions in AI agents and ML

• Collaborate with platform and product to productionize prototypes

• Build tooling for measuring progress and iteration

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• 5+ years of software engineering experience

• Production experience with LLMs or agent-based systems

• Strong experience in Typescript, React, Postgres, and NestJS

• Comfort with AI production realities like latency and error handling

• Experience owning projects end-to-end in a startup environment

Other Requirements:

• Strong problem-solving skills for maintainable code

• Identify as a builder

• Excited to work in-person in New York

• Love working in a startup environment

• Thrive in experimentation-essential environments

Responsibilities:

• Design and build agentic workflows for incidents

• Engineer context and retrieval systems

• Ship product features end-to-end across the stack

• Partner with platform and research on AI capabilities

• Take ownership of ambiguous projects and delivery

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• 5+ years of software engineering experience in full-stack roles

• Experience owning projects end-to-end in a startup environment

• Strong experience in Typescript, React, Postgres, and NestJS

• History of pushing product thinking and feature design

• Ability to lead ambiguous initiatives and align cross-functional teams

Other Requirements:

• Identify as a builder

• Excited to work in-person in New York

• Love working in a startup environment

• Enjoy working with people who think in systems

• Thrive in a fast-paced iterative environment

Responsibilities:

• Build AI-native tools and products

• Design and ship product features from backend to interface

• Talk to users and build products

• Collaborate with design on frontend polish

• Take ownership of ambiguous projects and orchestrate delivery

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• At least 3 years of experience in ML platform or data engineering

• Experience designing evaluation systems with noisy ground truth

• Strong system design skills

• Ability to write clean, scalable code and strong data modeling

• Demonstrated ability to bring ambiguous goals to production

Other Requirements:

• Proficient in Python and Typescript

• Experience with ML libraries and data engineering tools

• Identify as a builder

• Excited to work in-person in New York

• Thrive in a fast-paced iterative environment

Responsibilities:

• Own the evaluation stack and pipeline building

• Define quality at scale for agent trajectory quality

• Build platform abstractions for agents

• Own latency, observability, and uptime in production

• Partner with platform, product, and research teams

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• Deeply technical and comfortable writing scripts and inspecting logs

• Experience working with APIs

• Care about customer experience and owning outcomes

• Clear communication and reliable follow-up

• Enjoy working cross-functionally with GTM and Engineering

Other Requirements:

• Energized by ambiguous, high-impact work

• Identify as a builder

• Excited to work in-person in New York

• Love working in a startup environment

• Thrive in experimentation-essential environments

Responsibilities:

• Own customer implementation and calibration

• Validate and monitor implementation performance

• Debug and resolve issues hands-on within customer environments

• Collaborate with Engineering on custom connectors and deployments

• Support pre-sales enablement and technical questions

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• 4-8 years of engineering experience

• 2+ years in a hyperscaling environment

• Experience building and scaling distributed systems

• Proven backend API/data services expertise

• Expertise with TypeScript in production environments

Other Requirements:

• Oncall experience with production systems

• Comfort with ambiguity and ownership

• Excellent writing and communication skills

• Identify as a builder

• Excited to work in-person in New York

Responsibilities:

• Own and scale Antimetal’s AI workflow engine

• Design and implement distributed services

• Model and optimize relational data in SQL

• Harden the platform for reliability and performance

• Set engineering standards for system design

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• Portfolio showing real product and business impact

• Deep UX expertise in user flows and interaction design

• Sharp visual craft across design, typography, and layout

• Experience designing data‑rich or AI‑native interfaces

• Comfortable in a fast-moving, high-performance startup environment

Other Requirements:

• Excited to dive into agents and LLMs

• Identify as a builder

• Excited to work in-person in New York

• Enjoy working in a systems-thinking environment

• Thrive in a fast-paced iterative environment

Responsibilities:

• Design and ship high‑quality product experiences

• Translate complex AI reasoning into actionable experiences

• Own visual language and design system

• Use research and data to improve end‑to‑end experience

• Work closely with engineering to ship high-fidelity experiences

Benefits:

• Competitive salary with generous equity grants

• Fully covered health, dental, and vision, plus retirement benefits

• Unlimited PTO

• Dinner on late nights

• Monthly support for health and wellness

Experience Requirements:

• Experience as a Design Engineer or frontend engineer with strong design skills

• Proficient in React, Next.js, TypeScript, and Tailwind

• Strong visual and interaction instincts

• Fast, flexible prototyper in Figma, code, or AI tools

• Hands-on with CSS animation, transitions, and layout

Other Requirements:

• A strong portfolio showcasing high-quality front-end development work

• Comfortable in a fast-moving startup environment

• Identify as a builder

• Excited to work in-person in New York

• Thrive in a fast-paced iterative environment

Responsibilities:

• Own the design system across Figma and code (React, Tailwind)

• Ship pixel‑perfect interfaces with CSS

• Take ideas from rough sketches to production-ready

• Raise the bar on front‑end architecture and best practices

• Define new interaction patterns for AI‑driven tools

Benefits:

• Growth Opportunities

• Competitive Compensation

• Learning and development investment

Experience Requirements:

• 1+ years experience

Other Requirements:

• US citizen/visa only

• Smart & Resourceful

• Tech-Savvy

• Self-Starter

• Trust Builder

Responsibilities:

• Own the entire sales cycle from sourcing to closing

• Build genuine, lasting relationships with prospects

• Explore new frontiers and turn challenges into opportunities

• Collaborate with product, marketing, and customer success

Education Requirements:

• Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.

• Current BS or MS student or recent graduate. CS major is a plus

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.

• BS or MS in Computer Science or related field

Experience Requirements:

• Strong understanding of data engineering principles using big data technologies

• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus

• Experience with distributed computing using Hadoop and Spark

• Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue

• Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Education Requirements:

• Current BS or MS student or recent graduate. CS major is a plus

Experience Requirements:

• React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s

• Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design

• Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus

• Experience with Elasticsearch/ELK stack a plus

• Contribute with ideas to overall product strategy and roadmap

Responsibilities:

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform