AI Marketing & Sales Jobs

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Internship As a Research Intern at Snorkel AI, you’ll contribute to internal research and academic collaborations—helping explore and validate new ideas that may shape future publications, open-source artifacts, and long-term product directions. This is a research-first role, designed for interns who want to do deep technical work with real-world relevance. You’ll work closely with Snorkel researchers on open-ended projects and produce clear research outputs (experiments, prototypes, internal writeups, and potentially publications depending on project fit and timing). What You’ll Do Develop and evaluate new methods for data development for foundation models and enterprise AI systems (e.g., dataset construction, augmentation, synthetic data, and evaluation). Research supervision and evaluation techniques such as rubrics and verifiable rewards. Design experiments and run rigorous empirical studies (ablations, benchmarks, error analysis). Build lightweight research prototypes and tooling in Python to support internal studies. Collaborate with academic partners and internal research teams—reading papers, proposing hypotheses, and iterating quickly. Example Project Areas Projects vary by mentor and collaboration needs, but may include: Synthetic data generation + filtering for specialized tasks Evaluation datasets and benchmarks for LLM / RAG / agent behavior Data-centric methods for improving reliability, calibration, and failure-mode coverage Evaluating HITL data annotation processes, gaps, and improvements What We’re Looking For Current student in a PhD in ML/AI/CS. Strong ML fundamentals and demonstrated research ability (papers, preprints, or substantial research artifacts). Excellent Python skills and experience with modern ML tooling (PyTorch, NumPy, etc.). Ability to operate in ambiguous, research-driven problem spaces with strong experimentation habits. Clear communication: can write concise technical notes and present findings. Nice to have Prior work on evaluation, data curation, synthetic data, weak supervision, NLP, or multimodal ML. Experience collaborating with academic labs or participating in research programs. Internship Details Duration: Summer (flexible start/end) Location: Hybrid (Redwood City/SF) or Remote (US) Compensation: Competitive, commensurate with experience Why Snorkel Research Work with a research org advancing data-centric AI and foundation-model development, in close partnership with labs and enterprises.  Join a company with deep research roots and a substantial body of peer-reviewed work in this space.  Get mentorship and ownership on projects that can influence long-term research direction. Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Internship As a Research Intern at Snorkel AI, you’ll contribute to internal research and academic collaborations—helping explore and validate new ideas that may shape future publications, open-source artifacts, and long-term product directions. This is a research-first role, designed for interns who want to do deep technical work with real-world relevance. You’ll work closely with Snorkel researchers on open-ended projects and produce clear research outputs (experiments, prototypes, internal writeups, and potentially publications depending on project fit and timing). What You’ll Do Develop and evaluate new methods for data development for foundation models and enterprise AI systems (e.g., dataset construction, augmentation, synthetic data, and evaluation). Research supervision and evaluation techniques such as rubrics and verifiable rewards. Design experiments and run rigorous empirical studies (ablations, benchmarks, error analysis). Build lightweight research prototypes and tooling in Python to support internal studies. Collaborate with academic partners and internal research teams—reading papers, proposing hypotheses, and iterating quickly. Example Project Areas Projects vary by mentor and collaboration needs, but may include: Synthetic data generation + filtering for specialized tasks Evaluation datasets and benchmarks for LLM / RAG / agent behavior Data-centric methods for improving reliability, calibration, and failure-mode coverage Evaluating HITL data annotation processes, gaps, and improvements What We’re Looking For Current student in a PhD in ML/AI/CS. Strong ML fundamentals and demonstrated research ability (papers, preprints, or substantial research artifacts). Excellent Python skills and experience with modern ML tooling (PyTorch, NumPy, etc.). Ability to operate in ambiguous, research-driven problem spaces with strong experimentation habits. Clear communication: can write concise technical notes and present findings. Nice to have Prior work on evaluation, data curation, synthetic data, weak supervision, NLP, or multimodal ML. Experience collaborating with academic labs or participating in research programs. Internship Details Duration: Summer (flexible start/end) Location: Hybrid (Redwood City/SF) or Remote (US) Compensation: Competitive, commensurate with experience Why Snorkel Research Work with a research org advancing data-centric AI and foundation-model development, in close partnership with labs and enterprises.  Join a company with deep research roots and a substantial body of peer-reviewed work in this space.  Get mentorship and ownership on projects that can influence long-term research direction. Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About the role We’re hiring an AI Architect to sit at the intersection of frontier AI research, product, and go-to-market. You’ll partner closely with ML teams in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You’ll drive end-to-end delivery—partnering with AI research teams and core customers to scope, pilot, and iterate on frontier model improvements—while coordinating with engineering, ops, and finance to translate cutting-edge research into deployable, high-impact solutions. What you’ll do Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need. Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment. Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans. Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice. Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings. Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes. Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers. Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g., RLVR, benchmarks), close the loop with data quality and feedback, and share learnings that elevate technical execution across accounts. You have Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments. Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration. Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models. Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs. Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling. Bias to action: you ship, learn, and iterate. How you’ll work Customer-obsessed: start from real research needs; prototype quickly; validate with data. Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down. Field-forward: expect regular customer time and research leads; light travel as needed. What success looks like Clear wins with top labs: pilots that convert to scaled programs with strong eval signals. Reusable alignment & eval building blocks that shorten time-to-value across accounts. Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$230,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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OverviewHandshake is recruiting Cargo and Freight Agent Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.DetailsThe position is remote and asynchronous; work independently from wherever you are.The hours are flexible, with no minimum commitment, but most average 5-20 hrsThe work includes developing prompts for AI models that reflect your field, and then evaluating responses.You’ll learn new skills and contribute to how AI is used in your fieldYour placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.QualificationsYou have at least 4 years of professional experience in one or more of the following types of work.The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI modelsCoordinate and negotiate the transport of goods with shipping or freight companies, ensuring accurate documentation such as bills of lading and invoices. Track shipments, advise clients on transportation methods, and manage records of goods. Supervise packing and shipping activities, ensuring safe and efficient handling of cargo.You’re able to participate in asynchronous work in partnership with leading AI labs.Application ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork authorization informationF-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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OverviewHandshake is recruiting Paralegals and Legal Assistant Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.DetailsThe position is remote and asynchronous; work independently from wherever you are.The hours are flexible, with no minimum commitment, but most average 5-20 hrsThe work includes developing prompts for AI models that reflect your field, and then evaluating responses.You’ll learn new skills and contribute to how AI is used in your fieldYour placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.QualificationsYou have at least 4 years of professional experience in one or more of the following types of work.The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI modelsAssist attorneys by preparing and organizing legal documents, such as affidavits, briefs, and contracts, and maintaining filing systems. Conduct legal research and gather data to support case preparation, including investigating facts and laws. Coordinate law office activities, manage attorneys' schedules, and facilitate communication with clients and witnesses.You’re able to participate in asynchronous work in partnership with leading AI labs.Application ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork authorization informationF-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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Location: India (Remote) Experience: Early Career Salary: ₹55 L base | 10L signing | 24L over 4 years stockGiga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email.Engineers at Giga work on problems like:building agents with almost no hallucination ratesa voice experience that's better than talking to humanscreating self-learning agents that optimize metrics Who You Are / Must-Haves:Exceptional EngineerBackend: Strong experience in Python (Django experience is a plus)Cloud: Proficient with AWS or Google CloudScalability: Familiarity with Kubernetes and Docker is a plus

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Overview Handshake is recruiting English Language and Literature Professors to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.DetailsThe position is remote and asynchronous; work independently from wherever you are.The hours are flexible, with no minimum commitment, but most average 5–20 hrsThe work includes developing prompts for AI models that reflect your field, and then evaluating responses.You’ll learn new skills and contribute to how AI is used in your fieldYour placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.QualificationsYou have at least 4 years of professional experience in one or more of the following types of work.The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models:Design and deliver lectures on English language and literature topics, such as poetry and novel structure, while evaluating and grading student work. Develop and revise course materials, facilitate discussions, and provide academic advising. Engage in research and publish findings, participate in professional development, and contribute to departmental and institutional activities.You’re able to participate in asynchronous work in partnership with leading AI labs.Application ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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Overview Handshake is recruiting Adult Education & ESL Instructors to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.DetailsThe position is remote and asynchronous; work independently from wherever you are.The hours are flexible, with no minimum commitment, but most average 5–20 hrsThe work includes developing prompts for AI models that reflect your field, and then evaluating responses.You’ll learn new skills and contribute to how AI is used in your fieldYour placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.QualificationsYou have at least 4 years of professional experience in one or more of the following types of work.The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models:Evaluate and adapt teaching methods to meet diverse student needs in adult basic education, secondary education, and ESL. Prepare and conduct classes using various instructional techniques, maintain student records, and provide guidance for further education and GED preparation. Collaborate with colleagues and community groups to enhance learning opportunities.You’re able to participate in asynchronous work in partnership with leading AI labs.Application ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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About the Role As an AI Researcher, you will be pushing the frontier of foundation model research and make them a reality in products. You will be working on developing novel architectures, system optimizations, optimization algorithms, and data-centric optimizations, that go beyond state-of-the-arts. As a team, we have been pushing on all these fronts (e.g., Hyena, FlashAttention, FlexGen, and RedPajama). You will also work closely together with the machine learning systems, NLP/CV, and engineering teams for inspiration of research problems and to jointly work on solutions to practical challenges. You will also interact with customers to help them in their journey of training, using, and improving their AI applications using open models. Your research skills will be vital in staying up-to-date with the latest advancements in machine learning, ensuring that we stay at the cutting edge of open model innovations. Requirements Strong background in Machine Learning Experience in building state-of-the-art models at large scale Experience in developing algorithms in areas such as optimization, model architecture, and data-centric optimizations Passion in contributing to the open model ecosystem and pushing the frontier of open models Excellent problem-solving and analytical skills Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field Responsibilities Develop novel architectures, system optimizations, optimization algorithms, and data-centric optimizations, that significantly improve over state-of-the-art Take advantage of the computational infrastructure of Together to create the best open models in their class Understand and improve the full lifecycle of building open models; release and publish your insights (blogs, academic papers etc.) Collaborate with cross-functional teams to deploy your models and make them available to a wider community and customer base Stay up-to-date with the latest advancements in machine learning About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Internship As a Research Intern at Snorkel AI, you’ll contribute to internal research and academic collaborations—helping explore and validate new ideas that may shape future publications, open-source artifacts, and long-term product directions. This is a research-first role, designed for interns who want to do deep technical work with real-world relevance. You’ll work closely with Snorkel researchers on open-ended projects and produce clear research outputs (experiments, prototypes, internal writeups, and potentially publications depending on project fit and timing). What You’ll Do Develop and evaluate new methods for data development for foundation models and enterprise AI systems (e.g., dataset construction, augmentation, synthetic data, and evaluation). Research supervision and evaluation techniques such as rubrics and verifiable rewards. Design experiments and run rigorous empirical studies (ablations, benchmarks, error analysis). Build lightweight research prototypes and tooling in Python to support internal studies. Collaborate with academic partners and internal research teams—reading papers, proposing hypotheses, and iterating quickly. Example Project Areas Projects vary by mentor and collaboration needs, but may include: Synthetic data generation + filtering for specialized tasks Evaluation datasets and benchmarks for LLM / RAG / agent behavior Data-centric methods for improving reliability, calibration, and failure-mode coverage Evaluating HITL data annotation processes, gaps, and improvements What We’re Looking For Current student in a PhD in ML/AI/CS. Strong ML fundamentals and demonstrated research ability (papers, preprints, or substantial research artifacts). Excellent Python skills and experience with modern ML tooling (PyTorch, NumPy, etc.). Ability to operate in ambiguous, research-driven problem spaces with strong experimentation habits. Clear communication: can write concise technical notes and present findings. Nice to have Prior work on evaluation, data curation, synthetic data, weak supervision, NLP, or multimodal ML. Experience collaborating with academic labs or participating in research programs. Internship Details Duration: Summer (flexible start/end) Location: Hybrid (Redwood City/SF) or Remote (US) Compensation: Competitive, commensurate with experience Why Snorkel Research Work with a research org advancing data-centric AI and foundation-model development, in close partnership with labs and enterprises.  Join a company with deep research roots and a substantial body of peer-reviewed work in this space.  Get mentorship and ownership on projects that can influence long-term research direction. Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About SolidroadBuilding something great is addictive. It’s like discovering your favorite TV show mid-season, except you're helping write the next episode. It’s like unboxing a new gadget, except you’re the one designing it. You shape how it feels, how it works, and how people react when they use it.At Solidroad we're solving a big, messy, exciting problem: how do you scale customer support without losing what makes humans amazing? Warmth, empathy, intuition. We’re using AI, generative tech, and real-time simulations to make this happen. It's ambitious, difficult, and genuinely new.About the roleWe're looking for a senior engineer who sees this role as more than just a job. It should feel like signing up for a job and a hobby. Or a job and a triathlon. Or a job and an advanced language course. You’ll shape our technical decisions, own major parts of our product, mentor your teammates, and push yourself in ways you might not expect. It’ll stretch your skills and fill your life in a deeply rewarding way. You’ll write impactful code (full-stack, frontend, backend, AI integrations; it's all on the table), and make critical decisions about architecture, tooling, and product direction. There will be challenging moments, but also regular moments of genuine "wow, we built that" pride.What you'll actually do day-to-dayLead Development of Advanced Prompt Engineering and Retrieval Pipelines Architect and build scalable solutions handling thousands of customer conversations daily across integrations like Zendesk, Intercom, and Salesforce. You’ll leverage cutting-edge generation pipelines to deliver rapid insights, accurate analysis, and meaningful customer interaction scoring.Architect Real-Time Multimodal Simulations Own the development of realistic, interactive training experiences across voice, video, and chat using platforms like OpenAI, ElevenLabs, and Vapi. Your simulations will dynamically adapt to user input, creating genuinely immersive learning environments.Drive High-Performance User Experiences Set the technical standard for intuitive, lightning-fast interfaces built with Next.js. You'll ensure our UIs handle complex AI interactions seamlessly, even under demanding workloads, and mentor others to achieve the same standard.Our Team & CultureWe’re a focused group working full-time in our San Francisco and Dublin offices. We’re there five days a week because building something ambitious means collaborating closely, solving problems together, sharing ideas spontaneously, and occasionally challenging each other to padel matches, cold plunges, or karaoke evenings. We're intentional about creating a culture that's mature, supportive, and fun. You'll be joining experienced founders who've done this before, alongside a tight-knit team genuinely excited about building something impactful.We hope youHave at least 4 years of engineering experience, ideally at a startup (Series A to C), where you've helped ship complex, customer-facing products.Bring strong technical leadership, including experience mentoring other engineers, leading technical decisions, or architecting significant product areas.Have deep expertise in modern web technologies, product architecture, or AI integrations—bonus points if you’ve worked on notable or challenging projects we can explore together.The good, the bad, and the honest truthThe highs here are incredibly high, direct collaboration with founders who’ve done this before, significant ownership, and a product you'll feel deeply proud of. The lows are that you'll need to move fast, navigate ambiguity, and sometimes tackle tough problems solo. But the reality is that startups are a bit like a sport or an instrument: you invest in it not just because you have to, but because you genuinely want to be better tomorrow than you are today.If that sounds exciting, don’t second-guess yourself. Get in touch. Send us something you've built that you're proud of (GitHub, personal site, anything goes) and a short note about who you are and why this feels right to you. We value enthusiasm, ambition, and curiosity just as much as your technical experience.

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About SolidroadBuilding something great is addictive. It’s like discovering your favorite TV show mid-season, except you're helping write the next episode. It’s like unboxing a new gadget, except you’re the one designing it. You shape how it feels, how it works, and how people react when they use it.At Solidroad we're solving a big, messy, exciting problem: how do you scale customer support without losing what makes humans amazing? Warmth, empathy, intuition. We’re using AI, generative tech, and real-time simulations to make this happen. It's ambitious, difficult, and genuinely new.About the roleWe're looking for a senior engineer who sees this role as more than just a job. It should feel like signing up for a job and a hobby. Or a job and a triathlon. Or a job and an advanced language course. You’ll shape our technical decisions, own major parts of our product, mentor your teammates, and push yourself in ways you might not expect. It’ll stretch your skills and fill your life in a deeply rewarding way. You’ll write impactful code (full-stack, frontend, backend, AI integrations; it's all on the table), and make critical decisions about architecture, tooling, and product direction. There will be challenging moments, but also regular moments of genuine "wow, we built that" pride.What you'll actually do day-to-dayLead Development of Advanced Prompt Engineering and Retrieval Pipelines Architect and build scalable solutions handling thousands of customer conversations daily across integrations like Zendesk, Intercom, and Salesforce. You’ll leverage cutting-edge generation pipelines to deliver rapid insights, accurate analysis, and meaningful customer interaction scoring.Architect Real-Time Multimodal Simulations Own the development of realistic, interactive training experiences across voice, video, and chat using platforms like OpenAI, ElevenLabs, and Vapi. Your simulations will dynamically adapt to user input, creating genuinely immersive learning environments.Drive High-Performance User Experiences Set the technical standard for intuitive, lightning-fast interfaces built with Next.js. You'll ensure our UIs handle complex AI interactions seamlessly, even under demanding workloads, and mentor others to achieve the same standard.Our Team & CultureWe’re a focused group working full-time in our San Francisco and Dublin offices. We’re there five days a week because building something ambitious means collaborating closely, solving problems together, sharing ideas spontaneously, and occasionally challenging each other to padel matches, cold plunges, or karaoke evenings. We're intentional about creating a culture that's mature, supportive, and fun. You'll be joining experienced founders who've done this before, alongside a tight-knit team genuinely excited about building something impactful.We hope youHave at least 4 years of engineering experience, ideally at a startup (Series A to C), where you've helped ship complex, customer-facing products.Bring strong technical leadership, including experience mentoring other engineers, leading technical decisions, or architecting significant product areas.Have deep expertise in modern web technologies, product architecture, or AI integrations—bonus points if you’ve worked on notable or challenging projects we can explore together.The good, the bad, and the honest truthThe highs here are incredibly high, direct collaboration with founders who’ve done this before, significant ownership, and a product you'll feel deeply proud of. The lows are that you'll need to move fast, navigate ambiguity, and sometimes tackle tough problems solo. But the reality is that startups are a bit like a sport or an instrument: you invest in it not just because you have to, but because you genuinely want to be better tomorrow than you are today.If that sounds exciting, don’t second-guess yourself. Get in touch. Send us something you've built that you're proud of (GitHub, personal site, anything goes) and a short note about who you are and why this feels right to you. We value enthusiasm, ambition, and curiosity just as much as your technical experience.

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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Partner with executive sponsors and end users to identify high‑impact use cases and turn them into measurable business outcomes on Glean. Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Glean’s platform. Translate business needs into clear problem statements, success metrics, and practical AI solutions; collaborate with Product and R&D to shape priorities. Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform. Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. Proactively identify expansion opportunities and drive engagement across teams and functions. About you: 5+ years of professional experience in roles that blend business and technology (e.g., product, analytics, data, engineering, solutions), with a consultative, customer‑facing approach. Strong problem‑solving and communication skills; comfortable working with stakeholders from ICs to executives and tailoring messages to different audiences. Demonstrated ability to craft effective prompts and guide AI agents for real customer or business workflows; you’ve shipped outcomes, not just demos. Understanding of what current LLMs can and cannot do; able to set expectations and steer towards reliable, safe, cost‑effective solutions. Product sense and user empathy—you can spot high‑value applications of AI across diverse job functions and design clear, guided experiences. Hands‑on experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere or similar), with enough technical depth to work with engineers without needing to be on the critical path for writing production code. Good to have: Prior experience in customer‑facing, consultative roles (solutions, support, product management) and comfort presenting to senior leaders. Exposure to evaluating AI outcomes (e.g., defining success criteria, using sample tasks, reviewing results) and iterating for quality, latency, and cost. Ability to analyze usage signals and customer feedback to inform roadmap and drive adoption. Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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Who we are Helsing is a defense AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defense, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localize, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalization capabilities and strong robustness against adversarial attacks.  The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.  You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems.  Have experience with the complete machine learning pipeline, from collecting and annotating data, to evaluating model architectures, and iteratively training and tuning models to meet performance requirements.  Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.  Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.  Have developed or implemented AI applications in defense and broadly understand defense specific use cases.   Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. Nice to Have Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery Experience with simulators, emulators, or synthetic data generators A US security clearance at the Secret or above level  Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.   #LI-DNI   Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are:TrustLab deploys cutting edge solutions to evaluate AI agents, models and apps for enterprise customers. With a 5 year track record working with large and small clients incl.social media companies and digital market places, and guided by founders who previously worked in senior leadership positions at Google, YouTube, TikTok, and Reddit, we are creating industry leading LLM based solutions for agentic system evaluation and labeling. Our approach includes human-in-the-loop and LLM-as-a-judge technologies, with a focus on rapid innovation and production level scaling. You’ll join a small, mission-driven team where your contributions have a direct impact on real-world issues.What you’ll do: At TrustLab, your work won’t live in theory - it will power live systems used at large scale. You’ll work as part of a team that develops, tunes, and optimizes LLM-driven solutions that interpret and reason about complex digital content, while experimenting rapidly from design to deployment and seeing immediate feedback from real-world use cases. Partnering closely with other engineers, researchers, and product leaders, you’ll develop approaches to model training and evaluation, participating from early R&D through to production launches, and ensuring your work directly shapes how millions of people experience AI-powered content.Key Responsibilities:Train, evaluate, and monitor new and improved LLMs and other algorithmic modelsTest and deploy content moderation models in production, and iterate based on real-world performance metrics and feedback loops.Ensure results delivered to customers, pushing for change in approach where needed and be proactive in cross-functional execution.What we’re looking for:Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proficiency in Python. Experience with AWS and CI/CD processes & tools is a strong plus.Experience with prompt-engineering techniques and familiarity with multiple LLM providers.industry experience in NLP / Computer Vision, or making LLM’s work in production for non-trivial use cases.Hands-on experience with debugging issues in production environments, especially on AWS.Ttrack record delivering results under time and resource pressureWhy Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth.Apply AI technology to real-world business use cases at a significant scale, with blue chip customersWork as part of a team where you can know everyone, but don’t have to do everyone’s job.Competitive compensation, comprehensive benefits, and hybrid in-office policy.

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Who we are:TrustLab deploys cutting edge solutions to evaluate AI agents, models and apps for enterprise customers. With a 5 year track record working with large and small clients including social media companies and digital market places, and guided by founders who previously worked in senior leadership positions at Google, YouTube, TikTok, and Reddit, we are creating industry leading LLM based solutions for agentic system evaluation and labeling. Our approach includes human-in-the-loop and LLM-as-a-judge technologies, with a focus on rapid innovation and production level scaling. You’ll join a small, mission-driven team where your contributions have a direct impact on real-world issues.What you’ll do: At TrustLab, your work won’t live in theory - it will power live systems used at large scale. You’ll develop, tune, and optimize LLM-driven solutions that interpret and reason about complex digital content, while experimenting rapidly from design to deployment and seeing immediate feedback from real-world use cases. Partnering closely with other engineers, researchers, and product leaders, you’ll pioneer new approaches to model training and evaluation, taking ownership from early R&D through to production launches, and ensuring your work directly shapes how millions of people experience AI-powered content.Key Responsibilities:Train, evaluate, and monitor new and improved LLMs and other algorithmic modelsTest and deploy content moderation models in production, and iterate based on real-world performance metrics and feedback loops.Develop medium to long-term vision for content understanding-related R&D, working with management, product, policy & operations, and engineering teams.Take ownership of results delivered to customers, pushing for change in approach where needed and taking the lead on cross-functional execution.What we’re looking for:Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Ph.D. is a plus. Proficiency in Python. Experience with AWS and CI/CD processes & tools is a strong plus.Experience with prompt-engineering techniques and familiarity with multiple LLM providers.Several years of industry experience in NLP / Computer Vision, or making LLM’s work in production for non-trivial use cases, incl. familiarity with evaluation metrics for classification tasks and best practices for handling imbalanced datasets.Hands-on experience with debugging issues in production environments, especially on AWS.Strong track record delivering results under time and resource pressureWhy Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth, as a technical individual contributor, or manager.Apply AI technology to real-world business use cases at a significant scale, with blue chip customersWork as part of a team where you can know everyone, but don’t have to do everyone’s job.Competitive compensation, comprehensive benefits, and hybrid in-office policy.

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About the Team The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the RoleWe’re looking for Full Stack Engineers who're passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products. In this role, you will:Own the end-to-end development lifecycle for new platform capabilities and integrations with other systemsCollaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutionsWork with product and research team to share relevant feedback and iterate on applying their latest modelsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet. About the opportunity We are looking for a Backend Software Engineer Intern (LLM) to join our AI Engineering Team based in San Francisco, CA or Los Angeles, CA. The team is responsible for developing the backend infrastructure powering the Genies Avatar AI framework. You will contribute to the next generation of AI 3D avatar entertainment experience, and be involved with designing, coding, and testing software according to the requirements and system plans. You will be expected to collaborate with senior engineers and other team members to develop software solutions, troubleshoot issues, and maintain the quality of our software. You will also be responsible for documenting their work for future reference and improvement. Our internship program has a minimum duration of 12 weeks. Key Responsibilities Develop and deploy LLM agent systems within our AI-powered avatar framework. Design and implement scalable and efficient backend systems to support AI applications Collaborate with AI and NLP experts to integrate LLM, and LLM-based systems and algorithms into our avatar ecosystem. Work with Docker, Kubernetes, and AWS for AI model deployment and scalability Contribute to code reviews, debugging, and testing to ensure high-quality deliverables. Minimum Qualifications Currently pursuing OR a recent graduate from a  Master's degree or Bachelor's in Computer Science, Engineering, Machine Learning, or related field. Course or internship experience related to the following areas : Operating Systems, Data Structures & Algorithms, Machine Learning Strong programming skills in Python, Java, or C++ Excellent written and verbal communication skills Basic understanding of AI/LLM concepts and enthusiasm for learning advanced techniques. Preferred Qualifications Experience in building ML /LLM powered software systems. Previous Computer Science/Software Engineering Internship experience Solid understanding of LLM agents, retrieval-augmented generation (RAG), and prompt engineering. Experience with AWS, Docker and Kubernetes Experience with  CI/CD pipelines Experience with API design, schema design Here's why you'll love working at Genies: Salary $40-$50 per hour. You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a hybrid(office+home) policy You'll enjoy the culture and perks of a startup, with the stability of being well funded  Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement   Choice of MacBook or windows laptop Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. 

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About CartesiaOur mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.About The RoleTo build truly global AI, our models must be trained on data that reflects the world's diversity of languages and cultures. We are searching for a Machine Learning Engineer to own the quality and coverage of the data behind our models. You will be our in-house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance, and a passion for building inclusive and representative datasets at scale.Your ImpactDesign and build large-scale datasets for model training.Build evaluations of speech models, both via manual annotation and at scale with automated metrics.Implement techniques for steering data generation to improve model intelligence through data and mitigate bias.Build automated quality control systems to validate and filter generated dataPartner with product teams to ensure support for key languages and markets.What You BringExperience building or working with large multilingual datasetsExperience with generative models (speech, text, or multimodal).Ability to help guide human annotation and evaluation across multiple languages.Strong applied ML background with a focus on data-centric approaches.Excitement for building scalable systems that bridge research and production.What We Offer🍽 Lunch, dinner and snacks at the office.🏥 Fully covered medical, dental, and vision insurance for employees.🏦 401(k).✈️ Relocation and immigration support.🦖 Your own personal Yoshi.Our Culture🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

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Salary Range: $130,000-$180,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)Equity Range: Up to 0.10%Location: San Francisco, CA (Hybrid) OR RemoteJob Type: Full-Time (SF) OR Contract (Remote)Experience: 2+ yearsAbout FirecrawlFirecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just a year, we've hit millions in ARR and 70k+ GitHub stars by building the fastest way for developers to get LLM-ready data.We're a small, fast-moving, technical team building essential infrastructure for the AI era. We value autonomy, clarity, and shipping fast.About the RoleWe're looking for an AI Engineer to own the technical side of our partnerships motion. Your mission: make Firecrawl the default web data API that AI agents and tools reach for. You'll work directly with emerging AI-native companies - writing prompts, building evals, and ensuring Firecrawl integrations just work.What You'll DoCraft and iterate on prompts that help AI agents reliably choose and use Firecrawl for web data tasksBuild evaluation frameworks to test prompts across different models, use cases, and edge cases - then iterate relentlessly based on resultsBe the technical partner contact in Slack channels, helping partners implement Firecrawl into their products and troubleshoot issues in real-timeTest obsessively - new models drop, agent architectures evolve, and you're on top of how Firecrawl performs across all of themCreate integration guides and templates that make it dead simple for partners to ship Firecrawl-powered featuresIdentify new partnership opportunities by understanding how AI tools are using web data and where Firecrawl fitsCollaborate with Product and Engineering to surface partner feedback and shape the roadmapWho You Are2+ years working with LLMs - you've written production prompts, understand model quirks, and know what makes agents tickYou ship code. Python, TypeScript, whatever - you can build evals, write scripts, and prototype integrations quicklyYou're a clear communicator who can help non-technical partners implement technical solutionsYou thrive in ambiguity - partnerships are messy, timelines shift, and you figure it outYou're responsive and reliable - when a partner pings in Slack, you're on itBonus: You've worked at an AI-native company or have experience with agent frameworks (LangChain, CrewAI, OpenAI Agents SDK, etc.)Bonus: You've done developer relations, solutions engineering, or technical partnerships beforeBenefits & PerksAvailable to all employeesSalary that makes sense - $130,000-180,000/year OTE (U.S.-based), based on impact, not tenureOwn a piece - Up to 0.10% equity in what you're helping buildGenerous PTO - 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to rechargeParental leave - 12 weeks fully paid, for moms and dadsWellness stipend - $100/month for the gym, therapy, massages, or whatever keeps you humanLearning & Development - Expense up to $150/year toward anything that helps you grow professionallyTeam offsites - A change of scenery, minus the trust fallsSabbatical - 3 paid months off after 4 years, do something fun and newAvailable to US-based full-time employeesFull coverage, no red tape - Medical, dental, and vision (100% for employees, 50% for spouse/kids) - no weird loopholes, just care that worksLife & Disability insurance - Employer-paid short-term disability, long-term disability, and life insurance - coverage for life's curveballsSupplemental options - Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mindDoctegrity telehealth - Talk to a doctor from your couch401(k) plan - Retirement might be a ways off, but future-you will thank youPre-tax benefits - Access to FSAs and commuter benefits (US-only) to help your wallet out a bitPet insurance - Because fur babies are family tooAvailable to SF-based employeesSF HQ perks - Snacks, drinks, team lunches, intense ping pong, and peak startup energyE-Bike transportation - A loaner electric bike to get you around the city, on usInterview ProcessApplication ReviewIntro Chat (~25 min)Technical Deep Dive (~45 min)Paid Work Trial (1-2 weeks)DecisionIf you're an AI engineer who lives in Slack, obsesses over prompt quality, and wants to make Firecrawl the infrastructure layer for AI agents everywhere - let's talk.