AI Jobs
Find the latest job opportunities in AI and tech
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Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Machine Learning Customer Engineer
Snorkel AI is an AI data development platform that enables users to build specialized AI with their data and expertise. It focuses on programmatic data development for AI, offering solutions for data labeling, RAG optimization, and LLM fine-tuning.
Benefits:
comprehensive medical, dental, and vision plans
yearly wellness stipend
401k program
parental leave program
workstation setup allowance
Education Requirements:
B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.
Experience Requirements:
2+ years experience working in a technical customer-facing role.
Proficient in Python.
Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests.
Experience with common support software like Zendesk, Jira, and Slack.
Responsibilities:
Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications.
Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.
Perform live working sessions to analyze and address customer reported issues.
Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team.
Contribute to internal and external guides and docs, improving our self-service support materials.
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Senior Software Engineer — Infrastructure
Snorkel AI is an AI data development platform that enables users to build specialized AI with their data and expertise. It focuses on programmatic data development for AI, offering solutions for data labeling, RAG optimization, and LLM fine-tuning.
Education Requirements:
Bachelor's degree in Computer Science or related field, or equivalent demonstrated experience
Experience Requirements:
Strong development and debugging skills in Python
5+ years of software development experience in distributed systems and cloud-native applications
Strong experience with cloud platforms and infrastructure as code (Terraform, CloudFormation, Helm)
Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)
Proficiency in code and system health, diagnosis, resolution and software test engineering
Responsibilities:
Design, build, and maintain services and deployment for Snorkel’s enterprise platforms
Design, build, and improve observability and alerting for Snorkel’s enterprise platforms
Contribute to Snorkel’s inhouse deployment management software to installation and upgrades of various deployments for Snorkel’s enterprise customers
Build and maintain Snorkel’s production and staging infrastructure; own our k8s and cloud strategy
Work closely with various engineering teams in defining test strategies and build infrastructure to execute the same
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Software Engineer — Compute Platform
Snorkel AI is an AI data development platform that enables users to build specialized AI with their data and expertise. It focuses on programmatic data development for AI, offering solutions for data labeling, RAG optimization, and LLM fine-tuning.
Education Requirements:
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
Responsibilities:
Orchestration and Infrastructure Development:
Design, implement, and maintain orchestration tools for workflows using Ray and Prefect.
Build and manage infrastructure for scalable data connectors to integrate with systems like S3, Snowflake, and Databricks.
Optimize compute resource utilization for AI pipelines and ensure reliable, fault-tolerant execution of tasks.
MLOps and SDK Development:
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Software Engineer — Frontend
Snorkel AI is an AI data development platform that enables users to build specialized AI with their data and expertise. It focuses on programmatic data development for AI, offering solutions for data labeling, RAG optimization, and LLM fine-tuning.
Experience Requirements:
6+ years of professional experience with modern React (ES7, React hooks, TypeScript)
Strong technical communication skills and initiative
Product engineering experience building full-stack web applications
Ability to prototype and iterate quickly around sophisticated user workflows
Obsession with front-end development best practices, including designing unit and end-to-end tests
Responsibilities:
Design and develop key interfaces of Snorkel Flow, including interfaces for managing deployments, automatically analyzing data, and visualizing key metrics
Work directly with world-class customers to help create intuitive interfaces for ML development
Advocate and help define standards for the best practices in performance, product quality, security and user experience across the entire application
Provide mentorship and foster a growth and collaborative mindset for all members of your team.
Collaborate with cross functional teams on developing large scale products
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Software Engineer — Full Stack
Snorkel AI is an AI data development platform that enables users to build specialized AI with their data and expertise. It focuses on programmatic data development for AI, offering solutions for data labeling, RAG optimization, and LLM fine-tuning.
Experience Requirements:
5+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures
Experience developing and shipping enterprise software products for machine learning and data science applications
Experience prototyping and iterating on user interfaces with modern React (ES7, React hooks, TypeScript)
Expertise designing REST or GraphQL APIs for internal services and developers
Ability to work in a fast-paced environment and strong technical communication skills
Responsibilities:
Design and develop key interfaces of Snorkel Flow Studio, our novel workspace for programmatic labeling, data analysis, and visualization tools
Prototype, optimize, and maintain scalable services to power new ML development workflows in Snorkel Flow
Build proactively with empathy for our customers, constantly iterating to balance innovative research with practical solutions
Engage with product managers, designers and ML experts to create a phenomenal user experience
Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes
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Enterprise Account Executive (SF Bay Area)
Tonic.ai provides a suite of AI tools that allow you to unlock data for organizations while guaranteeing privacy. It offers synthetic data generation, data masking, and test data management.
Benefits:
Competitive salary and equity
Unlimited paid time off
401k plan with employer contribution
Medical, dental, and vision insurance
Generous parental leave policy
Education Requirements:
Bachelor’s degree
Experience Requirements:
Proven track record of success in B2B sales, with at least 5 years of experience in a similar role
Experience selling technical products in DevTools, DevOps, Security, MLOps, and similar markets
Other Requirements:
Confidence selling to leadership in AI, engineering, security, or similar technical VP/C level decision makers
CRM proficiency (we use Salesforce)
Strong written & verbal communication skills, and demonstrable confidence with technical topics
Curiosity and a willingness to learn quickly, work hard, and achieve the goals set by the team
Located on the West Coast
Responsibilities:
Source, nurture, and qualify new leads—and close new logos
Once landed at a large organization, drive expansion into new business areas and cross-selling products
Deliver killer product demos and presentations
Build long-standing relationships with high-potential customers
Lead negotiations and contract discussions
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Solutions Engineer
Refuel uses LLMs to build data transformations at scale, offering data cleaning, structuring, and enrichment with enterprise-grade security and connectors.
Benefits:
Competitive salary
Meaningful equity
Health Insurance
Vision insurance
Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development
Responsibilities:
Work closely with our customers to lead the technical execution of high-priority post-sales engagements and POCs.
Apply your technical and analytical skills to close the last-mile gap in Enterprise AI adoption to ensure our customers are successful with Refuel across the lifecycle of AI applications.
Leverage your expertise in LLMs and Refuel’s capabilities to build technical guides and onboarding material for users and advise them on the deployment, integration, and use of our platform.
Diagnose and map customer challenges to Refuel’s product capabilities, while simultaneously anticipating new customer needs.
Partner with our engineering team to identify, prioritize, and contribute to new feature development based on customer feedback.
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Software Engineer - Platform/Backend
Refuel uses LLMs to build data transformations at scale, offering data cleaning, structuring, and enrichment with enterprise-grade security and connectors.
Benefits:
Competitive salary
Meaningful equity
Health Insurance
Vision insurance
Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development
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Staff Software Engineer, ML Performance & Systems
fal.ai is a generative media platform for developers with lightning-fast inference, providing access to high-quality generative media models. Offers fast LoRA training and cost-effective scalability.
Benefits:
Interesting and challenging work
Work-life balance
Competitive salary and equity
Employee-friendly equity terms (early exercise, extended exercise)
We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.
Responsibilities:
Help fal maintain its frontier position on model performance for generative media models.
Design and implement novel approaches to model serving architecture on top of our in-house inference engine, focusing on maximizing throughput while minimizing latency and resource usage.
Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities.
Work closely with our Applied ML team and customers (frontier labs on the media space) and make sure their workloads benefit from our accelerator.
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Applied ML Engineer
fal.ai is a generative media platform for developers with lightning-fast inference, providing access to high-quality generative media models. Offers fast LoRA training and cost-effective scalability.
Benefits:
Interesting and challenging work
Work-life balance
Competitive salary and equity
Employee-friendly equity terms (early exercise, extended exercise)
We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.
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Senior Account Executive
fal.ai is a generative media platform for developers with lightning-fast inference, providing access to high-quality generative media models. Offers fast LoRA training and cost-effective scalability.
Benefits:
Interesting and challenging work
Work-life balance
Competitive salary and equity
Employee-friendly equity terms (early exercise, extended exercise)
We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.
Responsibilities:
Own and optimize the entire sales cycle—from high-level prospecting to enterprise-level contracting—while effectively articulating fal's AI infrastructure benefits.
Develop and implement advanced sales strategies to break into new markets, manage executive-level relationships, and consistently exceed revenue targets.
Lead detailed product demonstrations and complex contract negotiations, ensuring alignment with both technical and business stakeholders.
Provide strategic market insights and champion customer feedback to influence product roadmaps and priority features.
Mentor junior members of the sales team, fostering a culture of knowledge sharing and consistent performance improvement.
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Researcher in Residence (3-Month Role)
fal.ai is a generative media platform for developers with lightning-fast inference, providing access to high-quality generative media models. Offers fast LoRA training and cost-effective scalability.
Benefits:
Interesting and challenging work
Work-life balance
Competitive salary and equity
Employee-friendly equity terms (early exercise, extended exercise)
We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.
Education Requirements:
Masters or PhD
Responsibilities:
Conduct research on advanced machine learning models, particularly in computer vision.
Develop and fine-tune models using state-of-the-art techniques.
Collaborate with our engineering team to integrate research findings into our platform.
Contribute to open-source projects and share your findings with the broader AI community.
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Senior Computer Vision Engineer
Invisible AI is an on-premise computer vision platform for manufacturing that uses AI to improve worker productivity and safety by analyzing manual assembly work.
Education Requirements:
Master’s degree in computer science, Computer Engineering, Robotics Engineering, Mathematics, foreign equivalent or closely related field.
Experience Requirements:
One (1) year of experience in job offered, Systems Engineer, Robotics Software Engineer, Content Writer or closely related.
Position requires six (6) months of experience in: C++ and Python programming languages, Linux, Computer vision algorithms, camera calibration and other vision sensors, 3D computational geometry algorithms and related mathematics, Embedded computer platforms, low level stack and interface with application layers, Machine learning, Deep learning for computer vision.
Responsibilities:
Analyze user needs and design new application architectures to develop software solutions for new customer problems.
Develop end-to-end machine learning pipelines based on product requirement documents.
Build new applications software testing environments based on recent scholarly articles with a focus on delivery speed.
Review team code and enforce engineering best practices during the review process.
Mentor junior engineers on computer science and computer vision topics.
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Office Manager & Executive Assistant
Keystone is a global technology and advisory firm helping clients navigate the digital age’s biggest challenges with the power of AI. They offer CoreAI solutions, economic advisory, and technology services.
Responsibilities:
Ensuring that the executives you support have what they need to seamlessly serve the expectations of our clients and internal commitments/goals through anticipating the needs of your executives and stakeholders, looking ahead and preventing problems from arising, and keeping up with the fast pace of our consulting team
Flawlessly managing executive calendars by taking ownership of high-volume complex meeting/event scheduling, calendar conflict resolution, advising stakeholders on next steps/responses, and exercising discretion and judgement on escalation and/or delegation
Impressing external stakeholders with professionalism and efficiency when representing Keystone and the executives you support through your email, phone or in-person interactions
Coordinating end-to-end travel needs in a thoughtful and practical manner, including booking (and rebooking, unbooking) all travel, hotels, venues/restaurants, and ensuring trips are consistently smooth and seamless throughout while being mindful of directions, commuting time and ground transportation
Supporting administrative aspects of leadership’s internal commitments: practice area activities, leadership committees, recruiting, processing timesheets and expenses on a timely basis, etc.
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AI Engineer
Unit21 is an AI-driven platform for fraud prevention and AML compliance, offering customizable detection logic and automated investigations.
Benefits:
Competitive salary and pre-IPO stock options
100% company-paid medical, dental and vision insurance (for employee)
Optional HSA and FSA medical reimbursement accounts
Unlimited paid time off
Generous leave programs for life events
Education Requirements:
BS, MS or Ph.D in Machine Learning or Computer Science
Experience Requirements:
5+ years of experience in Software Development
1+ years of experience with generative AI development
4+ years experience in either Python, GoLang, Rust, etc.
Responsibilities:
Building AI Agents that exist within and outside of the Unit21 platform to gather data and provide key insights on potential financial crimes
Working closely with Product to understand customer needs and workflows to better automate them
Defining and crafting a rich architecture of AI toolsets to create Agentic workflows that 10x customer productivity with high fidelity
Drive continuous improvement of agentic workflows through data-driven insights and measurable outcomes
Explore research papers to prototype and implement innovative techniques for enhancing AI agents.
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Full Stack Engineer
Unit21 is an AI-driven platform for fraud prevention and AML compliance, offering customizable detection logic and automated investigations.
Benefits:
Competitive salary and pre-IPO stock options
100% company-paid medical, dental and vision insurance (for employee)
Optional HSA and FSA medical reimbursement accounts
Unlimited paid time off
Generous leave programs for life events
Education Requirements:
BS, MS or Ph.D in Computer Science, Engineering, Mathematics, Statistics, Physics, or related field is required.
Experience Requirements:
3+ years of experience in Python/Go/Rust.
2+ years of experience with React and Material UI
Experience in building and managing distributed systems.
Responsibilities:
Design and build high-performance monitoring systems with intuitive user interfaces prioritizing scalability, reliability, and efficiency.
Collaborate with product and design to refine user experiences
Reviewing pull requests, internal and external to team
Innovating on creative solutions to difficult problems
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Full Stack Engineer
Auditoria SmartBots transform finance operations with AI Agents, automating tasks and enhancing team collaboration in areas like Accounts Receivable and Payable.
Benefits:
competitive startup salaries
early-stage stock
unlimited vacation
medical/dental benefits
flexible work environment
Education Requirements:
Holds a BS or MS degree in Computer Science or a closely related Engineering discipline.
Experience Requirements:
3+ years of hands-on professional experience in the design, development, and successful deployment of intricate software systems, maintaining a benchmark of excellence.
Responsibilities:
Leadership in Product Development: Take charge of crafting and developing the critical components of Auditoria’s offerings, utilizing state-of-the-art technology within the AWS cloud ecosystem.
Cross-Functional Collaboration: Engage in cohesive teamwork across various departments and time zones, ensuring the delivery of high-quality solutions aligned with our strategic roadmap.
Business Partnership: Forge meaningful partnerships with business units to consistently deliver added value to our clientele.
Cultural Advocacy: Act as a stalwart promoter of the principles and technological ethos that define Auditoria.
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UI / UX Design Lead
RunDiffusion offers powerful servers tailored for AI tasks, establishing it as a top choice for open-source AI in the cloud. It is a platform for cloud-based Stable Diffusion and AI image generation.
Responsibilities:
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Senior Software Engineer
Zing Data is a GenAI business intelligence platform that works anywhere, offering natural language querying, real-time alerts, and collaboration features across web, iOS, and Android.
Benefits:
Meaningful equity
Fully paid health care
Sweet off-sites
Mobile phone service paid
Unlimited PTO
Experience Requirements:
At least 3 years of experience as a software engineer
Other Requirements:
Fluent in computer science fundamentals and architecture design patterns
Familiarity with React and Python
Familiarity with JVM languages - Java, Scala, scripting languages - Node.js, Typescript
Experience implementing and working with message queue systems (Redis, Kafka, MQTT)
Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems
Some expectation of on-call platform support
Responsibilities:
help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence that is collaborative, easy, and works on iOS, Android and the web
working on interesting features on our query intelligence, distribution engine that help our users get near instant response times.
work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.
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Senior Product Designer
Zing Data is a GenAI business intelligence platform that works anywhere, offering natural language querying, real-time alerts, and collaboration features across web, iOS, and Android.
Benefits:
competitive compensation
sweet offsites
company-provided health insurance
mobile-phone reimbursement
culture of learning and growth
Experience Requirements:
3+ years of experience designing mobile and web applications which are are used at scale
Other Requirements:
Familiarity with responsive design
Strong familiarity with Figma, Photoshop, CSS, HTML, and ideally After Effects
Working knowledge of data (querying, visualization, SQL, etc.)
A great portfolio
Extreme ownership - you're driven to proactively solve problems, learn new things, and work hard to hit ambitious targets
A great time player - you work well with others while productively pushing everybody to do their best work
Responsibilities:
help re-imagine how people use and understand data on mobile and the web.
design whole new ways for people to query data, create visualizations, and collaborate with data.
create never-seen-before interactions that delight and inform users and take things that are hard (complex queries, joins, statistical significance) and make them simple and beautiful.
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