AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Machine Learning Engineer
AI-powered platform for creating comics, manga, and webtoons with features like character consistency, 4K images, and Hollywood-grade storyboarding.
Experience Requirements:
2+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow.
Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch.
Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning.
End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI.
Ability to debug machine learning models to iteratively improve model quality and performance.
Other Requirements:
Nice to have: Familiarity with kubernetes and docker.
Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.
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AI Product Engineer
Tome is an AI-powered sales assistant that helps sales teams identify key accounts, craft compelling outreach, and prepare for meetings.
Benefits:
Equity
Education Requirements:
Degree in Computer Science or related field
Experience Requirements:
Experience working with LLMs
Strong foundation in software engineering principles
Familiarity with AI and ML concepts
Other Requirements:
Ability to ramp quickly on tech stack (TypeScript, React, Next.js, Node.js, Apollo GraphQL, and Aurora PostgreSQL)
Passionate about keeping up with advancements in LLMs and LLMOps
Ability to drive projects independently
Excellent communication skills
Responsibilities:
Collaborate with product leaders
Apply LLMs as reasoning engines
Create and enhance prompts
Develop and optimize RAG pipelines
Improve AI agent quality (relevance, fidelity, latency) via empirical evaluation and iteration
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Machine Learning Engineer
Tome is an AI-powered sales assistant that helps sales teams identify key accounts, craft compelling outreach, and prepare for meetings.
Benefits:
Equity
Education Requirements:
BS or MS degree in CS, AI, or applied math
Experience Requirements:
5+ years of experience building AI/ML based products in NLP domains
Strong understanding of deep learning AI/ML frameworks or cloud services
Hands-on ML Ops experience
Responsibilities:
Create and ship highly-differentiated AI experiences
Craft Tome's AI/ML strategy
Identify user needs for AI/ML solutions
Prototype LLM-powered experiences
Help build a world-class AI/ML engineering team
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Machine Learning Engineer, Applied Research and Model Development
Tome is an AI-powered sales assistant that helps sales teams identify key accounts, craft compelling outreach, and prepare for meetings.
Benefits:
Equity
Education Requirements:
5+ years of industry experience in NLP
Experience Requirements:
5+ years of industry experience in NLP
Strong understanding of deep learning AI/ML frameworks or cloud services
Hands-on ML Ops experience
Deep expertise in NLP and model training, specifically with LLMs
Proven experience adapting open-source generative models
Responsibilities:
Create and ship highly-differentiated AI experiences
Craft Tome's AI/ML strategy
Pioneer the training of new models
Prototype LLM-powered experiences
Help build a world-class AI/ML engineering team
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Machine Learning Engineer, GenAI Platform
Tome is an AI-powered sales assistant that helps sales teams identify key accounts, craft compelling outreach, and prepare for meetings.
Benefits:
Equity
Education Requirements:
BS or MS degree in CS, Engineering, AI or a related field
Experience Requirements:
6+ years experience in software engineering with a focus on ML infrastructure
Strong understanding of deep learning AI/ML frameworks or cloud services
Experience with the integration of software engineering with large language models
Ability to navigate and solve open-ended technological challenges
Other Requirements:
Excellent collaboration skills
Strong problem-solving skills
Responsibilities:
Lead the development of ML product development infrastructure
Create and maintain a platform for ML products
Collaborate with internal teams to integrate ML solutions
Help build a world-class AI/ML engineering team
Address and solve open-ended technological challenges
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Senior Software Engineer
AI-powered digital staff accountant automating accounting tasks, improving efficiency, and providing insights for accounting firms and businesses.
Experience Requirements:
6+ years
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Software Engineer - AI/ML
AI-powered code maintenance assistant for GitHub, resolving issues and improving documentation.
Benefits:
Competitive Salary & Equity
Unlimited PTO
Healthcare
Other Requirements:
LinkedIn profile link
Github/Gitlab profile link
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Software Engineer - Product
AI-powered code maintenance assistant for GitHub, resolving issues and improving documentation.
Benefits:
Competitive Salary & Equity
Unlimited PTO
Healthcare
Other Requirements:
LinkedIn profile link
Github/Gitlab profile link
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General Application
AI-powered code maintenance assistant for GitHub, resolving issues and improving documentation.
Benefits:
Competitive Salary & Equity
Unlimited PTO
Healthcare
Other Requirements:
LinkedIn profile link
Github/Gitlab profile link
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Senior Full Stack Engineer
AI-powered platform generating digital twins of patients to accelerate clinical trials, improving efficiency and insights.
Benefits:
Generous equity participation
100% company-covered medical, dental, & vision insurance plans
401k plan with matching
Flexible PTO plus company holidays
Annual company-wide break December 24 through January 1 Commuter benefits Paid Parental Leave Support for H1B, TN, and E-3 Visa change of employer transfers
Experience Requirements:
A minimum of 5 years of professional software engineering experience with a focus on frontend development
Other Requirements:
A demonstrated ability to succeed in a changing, resource-limited environment
A fast learner with a relentless drive to identify and solve big, important problems
Strong programming skills in Python and modern JavaScript frameworks such as React and TypeScript
Familiarity with modern engineering best practices, including agile methodologies, software testing, and version control systems (e.g., Git, GitHub)
Ability to work in our San Francisco office at least 3 days per week (Tues-Thurs)
Responsibilities:
Showcasing your expertise by developing software powered by Unlearn’s proprietary Digital Twin technology
Collaborating closely with product managers and designers to turn innovative prototypes into tangible, high-impact products
Shipping code daily, embracing the iterative process to refine and perfect our offerings
Focusing on delivering and maintaining an exceptional user experience that stands out in the industry
Proposing bold ideas, championing their value, and taking full ownership of their successful implementation
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Operations Associate
The Center for AI Safety (CAIS) is a non-profit dedicated to reducing societal-scale risks from AI through research, field-building, and advocacy.
Benefits:
Health insurance for you and your dependents
401K plan + 4% matching
Unlimited PTO
Lunch and dinner at the office
Annual Professional Development Stipend
Experience Requirements:
Experience in operational support, especially in dynamic environments like startups
Other Requirements:
Have a strong organizational standard, have high attention to detail, and are great at problem solving
Are able to manage multiple projects and meet deadlines
Are comfortable with technology
Are open to new ideas and feedback, honest with yourself and others; at CAIS, even when it’s slightly uncomfortable, we prioritize getting to the best answer
Are motivated by work that is focused on AI safety and risk
Responsibilities:
Oversee general office management, including ordering supplies, managing food and snack orders, handling mail and deliveries, and ensuring the office is equipped for daily operations
Coordinate employee onboarding and offboarding processes, including managing contracts, account setups, and workspace arrangements to ensure a seamless first and last day for team members
Manage software access and general technical assistance for all employees
Support financial processes, including expense reviews, reimbursements, and audit preparation
Assist with legal processes, such as visa management, corporate filings, and other compliance tasks
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Research Engineer Intern
The Center for AI Safety (CAIS) is a non-profit dedicated to reducing societal-scale risks from AI through research, field-building, and advocacy.
Other Requirements:
Are able to read an ML paper, understand the key result, and understand how it fits into the broader literature
Are comfortable setting up, launching, and debugging ML experiments
Are familiar with relevant frameworks and libraries (e.g., pytorch)
Communicate clearly and promptly with teammates
Take ownership of your individual part in a project
Have co-authored a ML paper in a top conference
Responsibilities:
Work very closely with our researchers on projects in fields such as Trojans, Adversarial Robustness, Power Aversion, Machine Ethics, and Out-of-Distribution Detection
Plan and run experiments
Conduct code reviews
Work in a small team to create a publication with outsized impact
Leverage our internal compute cluster to run experiments at scale on large language models
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Founding CSM
AI-powered user research platform conducting in-depth interviews at scale for deeper insights than traditional surveys.
Experience Requirements:
Strong skills and experience in successfully managing midmarket and/or enterprise customer relationships
Ability to design, implement, and iterate on customer engagement and education programs
Successful track record of managing customers towards retention and expansion goals
Proficient in standard CRM software
experience with SaaS products within similar or adjacent industries
Other Requirements:
NOTE: This role will involve travel up to 25% of the time
Responsibilities:
Develop strong relationships with our customers to ensure their satisfaction, retention, and ultimately expansion.
Support and train customers as they utilize the platform for research projects
Design and implement a our first real customer engagement program to better support customers and track success (including onboarding, QBRs, change management, etc)
Implement retention / expansion goals
Gather real-time customer feedback and work with founders to prioritize product/process roadmaps
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Developer Relations Engineer
HoneyHive provides AI performance and reliability through end-to-end testing and observability, helping debug, evaluate, and monitor AI agents.
Benefits:
Competitive salary + meaningful equity
Health, vision, and dental benefits
Unlimited PTO
Assistance in relocating to SF
MacBook Pro + peripherals
Education Requirements:
Bachelor's in Computer Science
Experience Requirements:
4+ years of experience building developer-focused content and programs
Other Requirements:
Exceptional writing skills
Track record of growing developer communities
Responsibilities:
Craft and publish high-quality technical content
Oversee our Hubspot mailing list
Develop and execute innovative growth hacks
Establish and evolve HoneyHive’s messaging
Work with Product Engineers to develop intuitive in-app onboarding flows
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Founding Growth Engineer
Vapi lets developers build, test and deploy voice agents in minutes. $0.05/minute, BYOK option.
Benefits:
$90K – $150K
0.1% – 0.3%
Experience Requirements:
3+ years of experience as a growth developer, growth marketer, or similar role at a developer-focused startup with >1000 signups per week
Proficiency in coding and data analysis (e.g., SQL, Python, or other relevant technologies)
Experience building and automating growth experiments in fast-paced startup environments
A proven track record of improving key growth metrics through technical experimentation and optimization
Ability to balance creative growth ideas with analytical, data-driven decision-making
Responsibilities:
Own and execute growth experiments
Optimize Funnel Performance
Use Data to Drive Decisions
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Founding Senior Engineer (Backend)
Vapi lets developers build, test and deploy voice agents in minutes. $0.05/minute, BYOK option.
Benefits:
$150K – $300K
Experience Requirements:
Previous Founding/Senior/Staff/Principal Engineer
1+ years of experience at company <100 ppl
5+ years experience in Full-Stack / Backend Software Engineering
Responsibilities:
Own and deliver entire features + projects
Ship optimizations and refactors
Talk to customers
Build things that delight customers
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Founding Senior Engineer (Frontend)
Vapi lets developers build, test and deploy voice agents in minutes. $0.05/minute, BYOK option.
Benefits:
$150K – $300K
0.1% – 0.4%
Experience Requirements:
Previous Founding/Senior/Staff/Principal Engineer
1+ years of experience at company <100 ppl
5+ years experience in Full-Stack / Frontend Software Engineering
2+ years experience in designing features you’ve deployed
Responsibilities:
Design and ship frontend features
Make the frontend codebase more robust, composable, and maintainable
Listen to user feedback and ship improvements
Build things that delight customers
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Founding Senior Engineer (Infrastructure)
Vapi lets developers build, test and deploy voice agents in minutes. $0.05/minute, BYOK option.
Benefits:
$150K – $300K
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Founding Designer
Vapi lets developers build, test and deploy voice agents in minutes. $0.05/minute, BYOK option.
Benefits:
$120K – $160K
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Founding Developer Relations Lead
Vapi lets developers build, test and deploy voice agents in minutes. $0.05/minute, BYOK option.
Benefits:
$120K – $220K
0.1% – 0.3%
Experience Requirements:
2+ years of experience in Developer Relations at a developer-focused startup
Technical background with ability to explain complex ideas clearly to technical and non-technical audiences
Experience using LLMs and process automations to efficiently drive quality content output
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
Portfolio of engaging technical content and demos across various platforms (blog posts, social media, video) and skill in using production software
Responsibilities:
Revamp the documentation within the first 30 days
Create and manage developer community engagement strategies within the first 14 days
Create engaging organic content for our technical audience within the first 30 days
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