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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Machine Learning Success Manager
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 Computer Science, Engineering, or comparable degree/experience.
Experience Requirements:
5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.
Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account.
Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement.
Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling.
Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor.
Responsibilities:
Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives.
Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders.
Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion.
Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team.
Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team
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ML Delivery Manager (Consultant/Professional Services)
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:
B.S. degree in Business Administration, Engineering, or comparable degree/experience.
Experience Requirements:
4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.
2+ years experience as a lead project manager, preferably in a technology or consulting environment.
Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.
Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.
Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.
Responsibilities:
Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.
Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.
Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.
Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.
Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.
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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 Backend Engineer
Certainly is a Conversational AI platform that elevates conversations and delivers real business value with AI chatbots for customer service and e-commerce.
Benefits:
Competitive salary.
Opportunity to work on challenging and exciting projects.
Collaborative and dynamic work environment.
Professional development and growth opportunities.
Flexible working hours and remote work options.
Education Requirements:
At least a Bachelor’s degree in Computer Science, Computer Engineering, or related field.
Experience Requirements:
At least 5 years of experience in backend development.
Other Requirements:
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Ability to work in a fast-paced environment and prioritize tasks effectively.
Strong understanding of software development principles, patterns, and best practices.
Experience with cloud-based technologies such as AWS, Azure, or Google Cloud.
Strong understanding of security and compliance requirements
Responsibilities:
Design and develop backend systems and applications, ensuring scalability, reliability, and performance.
Collaborate with cross-functional teams to identify and prioritize project requirements and deliverables.
Implement efficient and scalable backend architectures using state-of-the-art technologies.
Develop and maintain high-quality, well-tested, and documented code.
Participate in code reviews and provide constructive feedback to improve code quality and maintainability.
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Fullstack React Engineer
Certainly is a Conversational AI platform that elevates conversations and delivers real business value with AI chatbots for customer service and e-commerce.
Benefits:
Competitive salary and benefits package.
Opportunity to work on challenging and exciting projects.
Collaborative and dynamic work environment.
Professional development and growth opportunities.
Flexible working hours and remote work options.
Education Requirements:
At least a bachelor’s degree in computer science, Computer Engineering, or related field.
Experience Requirements:
At least 5 years of experience in frontend development and leadership.
Other Requirements:
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Ability to work in a fast-paced environment and prioritize tasks effectively.
Strong understanding of software development principles, patterns, and best practices.
Understanding of security and compliance requirements
Responsibilities:
Lead the design and development of frontend systems and applications, ensuring scalability, reliability, and performance.
Collaborate with cross-functional teams to identify and prioritize project requirements and deliverables.
Design and implement efficient and scalable frontend architectures, using state-of-the-art technologies.
Develop and maintain high-quality, well-tested, and documented code.
Mentor and guide junior engineers and developers to improve their skills and knowledge.
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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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