Jobs - Jobs4Americans

NORMAL COMPUTING | BUILD WITH US Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. The Role Recruiting silicon talent is a specialist's craft: the candidate pool is small, every strong architect and DV engineer is fielding multiple offers, and the people you're hunting can smell a recruiter who doesn't know what a tapeout is. As a Technical Hardware Recruiter, you will work on full-cycle recruiting for Normal's silicon organization. You will partner directly with hiring managers who are themselves deep technologists, source candidates who aren't looking, and close people who have every option. What You'll Own - Full-Cycle Recruiting: Manage an end-to-end recruitment process for senior hardware, ASIC, and silicon architecture roles from intake through close, flexing to AI, silicon software, and other technical searches as priorities shift. - Strategic Sourcing: Identify and engage top-tier talent in unconventional silicon architecture, design verification, and systems architecture: people who are rarely on the market and need a reason to talk. - Engineering Partnership: Act as a strategic partner to engineering hiring managers, aligning on candidate qualifications, technical bars, and calibration as searches evolve. - Process Discipline: Run the WHO Method for talent calibration and maintain high-efficiency interview loops, targeting 4-5 rounds maximum so great candidates don't die in process. - ATS Ownership: Maintain impeccable data hygiene and pipeline flow in Ashby: clean stages, honest statuses, reporting the team can trust. - Brand Ambassadorship: Represent Normal Computing at industry events like DAC, engaging specialized candidates in the rooms where they actually gather. What Makes You a Great Fit - 6+ years of full-cycle technical recruiting, including direct experience recruiting AI, ASIC, silicon, or semiconductor engineers: RTL, DV, physical design, architecture, or adjacent roles - A track record of closing senior engineers against competing offers: you know how to sell equity, risk, and conviction, not just a comp number - Technical literacy across the deep-tech landscape: AI silicon, and custom ASIC development — you can hold a credible intake conversation with a chip architect - Advanced fluency in Ashby (or comparable ATS) for candidate tracking, reporting, and process automation - Operational excellence: low ego, comfortable with ambiguity, and able to move real work forward at the volume of a scaling startup Bonus Points - Exposure to AI/ML and software engineering recruiting in addition to hardware expertise - Experience recruiting for unconventional computing or physics-based hardware architectures - Previous experience in a high-growth venture-backed startup, semiconductor company, or research lab Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice https://normalcomputing.com/applicant-privacy-notice.

Listed by Normal Computing for a position based in the United States. Employers on this board attest they are hiring domestically.

Consulting

8 days ago

Sustainability data advisor, fixed-term (US)

Watershed · San Francisco, California, United States

Pay

$118k

Setting

Hybrid

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ABOUT WATERSHED Watershed https://watershed.com/ is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team. We have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us! THE ROLE We are looking for a customer-focused and analytically-minded person to join the Sustainability Data Advisory team in our San Francisco or New York office on a fixed-term basis, starting in December 2026. This is a chance to join a core team at a growth-stage startup that works with the world's top companies to speed up their sustainability programs. You'll work directly with customers as a trusted advisor, leading measurement sessions and delivering advisory services that unlock the full value of our platform. You'll help customers get clear, reliable insight into their sustainability impact and reach their sustainability goals. YOU WILL: - Advise sustainability teams at many of the world's top companies. You'll work directly with customers on how to measure actionable carbon and non-carbon footprints to reach sustainability goals and enable real reductions. The work ranges from scoping new measurements to in-depth methodology comparisons between footprints. - Deliver services that speed up customer success. You'll help customers set up their measurements to meet sustainability goals, act as a trusted partner in emissions verifications, and give specialized advice to improve their data and methodologies. You'll make sure customers get the most out of Watershed's platform, faster and more effectively than they could on their own. - Collaborate with science, engineering and product teams to build new measurement solutions and expand Watershed's sustainability intelligence layer. YOU MIGHT BE A FIT IF YOU: - Have 2–4 years of experience in a consulting, solutions-engineering or other customer-facing role. You are excited to work directly with customers to help them set the foundation for world-class sustainability programs. - Have experience in sustainability-related fields, greenhouse gas accounting and/or ESG reporting. - Are an excellent verbal and written communicator. You can explain complex topics to technical and non-technical audiences. - Learn quickly and work well in ambiguity. You are organized, systematic and efficient, and you thrive in a high-volume environment. - Think clearly about complex problems and are comfortable using and speaking to data. You are meticulous and detail-obsessed. - Are passionate about solving climate change and excited to help do so at a fast-paced startup. FIXED-TERM DETAILS - Minimum commitment of 4 months, with a possible extension of up to 3 more months. - Fixed-term employees receive compensation and benefits similar to full-time Watershed employees, including daily lunch delivered in the Watershed office. - This role is required to be in our San Francisco or New York office 4 days per week. Must be willing to work from an office 4 days per week (except for remote roles) Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so. What’s the interview process like? It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process. What if I need accommodations for my interview? At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

Listed by Watershed for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

8 days ago

Analog Design Engineer (custom DRAM circuits)

Normal Computing · Palo Alto, California, United States

Pay

$200k–400k

Setting

Hybrid

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Listed by Normal Computing for a position based in the United States. Employers on this board attest they are hiring domestically.

Design

8 days ago

Physical Design Manager

Normal Computing · Palo Alto, California, United States

Pay

$200k–400k

Setting

Hybrid

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NORMAL COMPUTING | BUILD WITH US Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul. THE ROLE As a Physical Design Manager at Normal, leading the team owns the end-to-end silicon realization path, taking complex architectures from synthesis and physical floorplanning all the way through timing signoff and GDSII tapeout. Sitting at the intersection of custom ASIC design and our hardware-algorithm co-designed systems, you will shape physical feasibility early in the design cycle by working shoulder-to-shoulder with RTL and architecture teams. You'll drive the full backend implementation flow—optimizing floorplanning, place-and-route (P&R), clock tree synthesis (CTS), static timing analysis (STA), and physical verification (DRC/LVS) to achieve aggressive power, performance, and area (PPA) targets. We are looking for a seasoned engineer and manager who thrives in cross-functional environments and takes pride in tapeout-proven execution. The ideal candidate brings effective team building and leaders, and a meticulous approach to physical signoff, maintains clarity in fast-paced build cycles, and is excited to solve the physical constraints of novel computing architectures. WHAT YOU WILL OWN - Physical Design Team Hiring & Leadership: Provide leadership of the PD team, including necessary hiring to support the plan, and individual guidance and performance feedback - Project Planning: Create work estimates and schedule to support an aggressive tapeout plan - EDA tools acquisition: Specify and help negotiate the appropriate EDA tools to support the physical design methodology - Design & Floorplan Reviews: Collaborate closely with RTL, architecture, and DFT teams to influence early floorplanning, macro placement, pin assignments, and physical feasibility. - Physical Implementation & Flow: Lead the full netlist-to-GDSII physical design flow, including floorplanning, power grid design, placement, clock tree synthesis (CTS), and place-and-route (P&R). - Timing Closure & STA: Own static timing analysis (STA), timing constraints creation/validation, and signoff timing closure across all operating corners and modes. - Power, Area, and Signal Integrity: Drive physical optimization for power, performance, and area (PPA), as well as power integrity (IR/EM) and crosstalk analysis. - Physical Signoff & Verification: Execute full chip/block physical signoff checks, including DRC, LVS, ERC, and antenna fixes, ensuring seamless handoff to the foundry. - Tapeout & Post-Silicon Support: Create and execute tapeout checklists, manage final stream-out processes, and support post-silicon physical debugging and bring-up as needed. WHAT MAKES YOU A GREAT FIT - Tapeout Track Record: Lead at least 3+ successful tapeouts from netlist to signoff, ideally across advanced technology nodes. - PD Flow Expertise: Deep hands-on experience with industry-standard physical design tools (e.g., Innovus, IC Compiler II, Tempus, PrimeTime, Pegasus, Calibre) across floorplanning, P&R, CTS, and signoff timing closure. - Backend Debugging Instincts: Strong problem-solving skills in analyzing and resolving STA timing bottlenecks, IR/EM drop issues, crosstalk, and complex DRC/LVS signoff violations. - Cross-Functional Feasibility: Ability to collaborate effectively with RTL, architecture, and DFT teams to influence floorplanning, pin placement, and early physical feasibility. - Managerial experience: at least 7 years experience in role BONUS POINTS - Experience at an AI or high-performance compute (HPC) chip startup where design, verification, and PD work in tight iteration cycles. - Experience with custom memory/macro floorplanning, hierarchical top-level implementation, or advanced packaging (e.g., chiplets, 2.5D/3D integration). - Hands-on experience developing or maintaining automated TCL/Python scripting frameworks for physical design flows. Equal Employment Opportunity Statement Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Accessibility Accommodations Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com. Privacy Notice By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice https://normalcomputing.com/applicant-privacy-notice.

Listed by Normal Computing for a position based in the United States. Employers on this board attest they are hiring domestically.

Product Management

8 days ago

Principal Product Manager - Console

Lambda · Bellevue, Washington, United States

Pay

$338k–500k

Setting

Hybrid

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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role The console is where every service Lambda sells meets the human user at the customer. It is the place where disparate products can come together to create a unified experience that solves a customer problem. Conversely, it is also the place where a cloud most easily becomes hard to use, because each service is built by a different team at a different time, and every one of them arrives with its own idea of what a resource is called, where it lives, who is allowed to touch it, and what a customer should do next. The customer does not experience a portfolio of services. They experience one product, and they judge us on whether it holds together. This role owns that product. You own the console as a single surface, with one navigation model, one identity and permissions story, one set of interaction patterns, and one vocabulary, across On-Demand GPU Instances, reserved capacity, 1-Click Clusters, bare metal, storage, networking, Managed Kubernetes, billing, and support. Every service team ships into that surface, and the standards are yours to set. Your job is to make the whole thing feel like it was designed on purpose, which means writing the standards down, reviewing the work against them, and being the person who says no when a service wants to solve a problem in a way that only makes sense from inside that team. Three very different people have to succeed here. A machine learning researcher wants a graphics processing unit (GPU) in minutes and should never have to learn cloud vocabulary to get one. An infrastructure engineer runs large clusters, lives in the application programming interface (API) and the command line, and needs the console to agree exactly with both. A platform engineer is building their own service on top of Lambda for their own users, and needs the console to make clear what their teams can see, spend, and change. The hard part of the role is that these three pull in different directions, and the surface cannot be quietly bent toward whichever one showed up in the last customer meeting. Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn't mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn't matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep experience owning a customer-facing console for a cloud or developer platform is highly desired. At Lambda, we don't work in silos, we work together, each bringing our particular crafts, to build the best customer experience as one team. This role is where that commitment is tested most often. Be clear-eyed about the starting point. Several of the standards this role depends on do not exist yet, so the first year includes writing them and building the design and front-end engineering partnership that keeps them alive. This is a role for someone who wants to establish the function, not inherit it. If you have held a cloud console together across a growing portfolio and want to do it while the portfolio is still being built, we'd love to hear from you. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. What You'll Do - Own the Whole Surface: Hold the product definition for the console as one product, decide what belongs in it and what does not, rank and sequence the work, and be honest about what Lambda is not doing this year and why. - Set the Patterns and Hold Them: Define the navigation, identity, permissions presentation, resource naming, states, errors, and empty screens that every service uses, write them down clearly enough that a team can build to them without asking you, then establish and run the review that console work passes before it ships. - Keep the Console Honest With the API: Make sure the console, the API, the command line, and infrastructure as code describe the same resources with the same names and the same rules, and treat a console-only capability as a problem to be fixed rather than a feature. - Fix the First Hour, Then Serve the Expert: Own what happens between signing up and running a first workload, instrument it well enough to know exactly where people stop, and keep the paths that operators and platform teams live in, like bulk actions, filtering, deep links, quotas, spend visibility, and access control, first class rather than an afterthought behind a wizard. - Find the Real Problem: Get close to customers, support tickets, escalations, and session data, and work out what is actually blocking people rather than what they asked for. - Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering and design build from them without a translation layer. - Work as a Group: Partner with the product managers who own each service so their launches land inside your surface as one product, and agree the seams early rather than at launch review. - Land the Launch: Set launch criteria that include documentation, in-product guidance, support readiness, and accessibility, and get them met before the surface goes live rather than after. - Measure and Iterate: Define success before you ship, then go find out whether it happened, using completion rates, time to first result, and support load rather than opinion. - Make the Call Stick: Take a position on contested tradeoffs, write it down well enough that people can disagree with it precisely, and keep owning the decision after it is made. You - Have 10+ years of product management experience, including owning a customer-facing console, dashboard, or developer surface for a cloud, infrastructure, or developer platform. - Have shipped interaction patterns, a design system, or a surface standard that teams you did not manage adopted and kept using after you stopped pushing, and can describe how you actually got them to. - Have taken a set of separately built product surfaces and made them behave like one product, and can say what you consolidated, what you left alone, and why. - Understand cloud infrastructure well enough to reason with engineers about identity, permissions, quotas, regions, capacity, telemetry, and billing, and about what should and should not be exposed to a customer. - Understand access control models for organizations, teams, projects, roles, and API keys well enough to design how they are presented, because this is where a console either works for a platform team or does not. - Able to define iterative plans that move an organization from the current state towards the desired outcome. - Have made one product serve both a first-time user and a daily operator without turning it into two products. - Have used research and instrumentation to settle a disagreement about a user experience, and are comfortable being the person who brings evidence to a room full of strong opinions. - Can turn ambiguous customer, technical, and commercial inputs into product definition that multiple teams execute against. - Communicate plainly, write well, say no clearly, and make decisions easier for people who do not all share the same context. Nice to Have - Experience with machine learning or data platform surfaces, like notebooks, training jobs, model endpoints, or experiment tracking. - Experience with the self-serve funnel from signup to first paid usage, including conversion and activation work. - Experience partnering closely with a front-end platform team on a component library, design tokens, or a shared application shell. - Experience owning documentation or in-product guidance as part of the product rather than as a handoff. - Experience with accessibility standards and with making an infrastructure product usable under them. - Experience with a console that had to serve both a human and an automated caller, and opinions about what that costs. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.

Analyst

8 days ago

Senior Analyst - Investor Relations

Lambda · San Francisco, California, United States

Pay

$109k–145k

Setting

Hybrid

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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday. About the Role We are seeking a Senior Analyst, Investor Relations to provide the research, financial analysis, preparation, and operational backbone of the Investor Relations team. This person will be closely involved in a key company function, working directly with senior leadership and playing a meaningful part in laying the foundation for a strong investor relations program as Lambda grows. It is an ideal role for someone eager to build deep expertise in investor relations, finance, and capital markets. What You'll Do Investor Communications & Earnings Support - Own and maintain the company materials used in investor conversations and capital raises, including investor presentations, company overviews, fact sheets, data room materials, and key metrics, keeping them accurate, current, and consistent. - Provide research, analytical, and administrative support in the preparation of quarterly earnings materials, including presentation decks, executive briefing documents, Q&A materials, and earnings call support materials. - Assist in the collection, organization, and review of information used in earnings releases, investor presentations, earnings call materials, and other investor communications. Market Intelligence & Research - Monitor industry trends, competitors, capital markets activity, and broader market developments, and summarize key insights for the Investor Relations team and executive leadership. - Support peer company, market, and competitive analysis through research, data collection, and preparation of recurring reports and summaries. - Compile and summarize analyst commentary, investor feedback, and key themes emerging from investor meetings, conferences, and industry events. - Perform ad hoc research projects on company performance, industry developments, competitors, and capital markets topics. Executive & Investor Support - Prepare briefing materials, background research, meeting agendas, and summaries for executive meetings with investors, analysts, lenders, and other external stakeholders. - Prepare recurring reports and dashboards covering investor activity, market intelligence, peer developments, and other investor relations metrics. - Track investor interactions, maintain records of meetings and follow-up items, and help ensure timely execution of investor-related requests and commitments. Investor Operations - Maintain investor relations databases, contact lists, and other records supporting investor engagement activities. - Support the planning and execution of investor meetings, conferences, earnings events, and other investor-facing activities. You - Have 2+ years of professional experience in a business, finance, communications, operations, executive support, investor relations, or other analytical environment. - Are highly organized and able to manage multiple projects, deadlines, and stakeholder requests simultaneously. - Demonstrate strong analytical and problem-solving skills, with the ability to gather, organize, and synthesize information from a variety of sources. - Understand core financial concepts and can read, summarize, and evaluate financial statements. - Possess excellent written and verbal communication skills with strong attention to detail. - Enjoy conducting research, preparing presentations, and creating materials for executive audiences. - Are comfortable working with senior leaders and maintaining professionalism when interacting with external stakeholders. - Have strong judgment, discretion, and the ability to handle confidential information. - Are proficient in Excel, Google Sheets, PowerPoint, Google Slides, and other business productivity tools, and go beyond basic use of AI tools to build skills, workflows, and processes in AI that streamline how the team operates. - Thrive in fast-paced, evolving environments and are willing to take on both analytical and operational responsibilities as needed. - Are curious, proactive, and eager to learn about investor relations, capital markets, and the AI industry. Development / Potential Growth Areas Successful performance in this role may lead to increased responsibility in the following areas: Investor Communications - Take a greater role in shaping the content, structure, and messaging of investor presentations and executive communications, moving beyond preparing and updating existing materials. - Draft portions of earnings-related materials, investor updates, and executive briefing documents. Market & Investor Analysis - Move beyond gathering and summarizing information to identifying trends, themes, and implications from investor feedback, analyst commentary, and market developments. - Take ownership of recurring investor intelligence, peer monitoring, and competitive analysis reporting. Investor Engagement - Develop a deeper understanding of investor perspectives and capital markets dynamics. - Take on greater responsibility for tracking investor interactions and supporting investor engagement activities. Earnings & Public Company Readiness - Assume greater responsibility in the preparation and coordination of earnings-related materials and processes. - Build knowledge of investor communications, disclosure practices, and public company investor relations best practices. - Support the IPO process, including roadshow preparation and coordination with banking teams on logistics. Success in This Role Success in this role is measured by the ability to reliably gather information, prepare high-quality materials, support executive and investor-facing activities, maintain strong organization across multiple workstreams, and continuously deepen knowledge of Lambda, the AI industry, and investor relations best practices. This role is designed to provide a strong foundation in investor relations, finance, and capital markets while creating opportunities for increased responsibility and professional growth over time. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda - Founded in 2012, with 500+ employees, and growing fast - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG - Our values are publicly available: https://lambda.ai/careers - We offer generous cash & equity compensation - Health, dental, and vision coverage for you and your dependents - Wellness and commuter stipends for select roles - 401k Plan with 2% company match (USA employees) - Flexible paid time off plan that we all actually use Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Listed by Lambda for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

9 days ago

Applied Scientist

Blee · San Francisco, California, United States

Pay

$150k–275k

Setting

Hybrid

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Why Blee: Blee is an AI-first marketing content compliance platform. PayPal, NerdWallet, and Brex already trust us. We're YC-backed, founded by an ex-Adobe marketing ops leader and former lawyer, and we're defining a category that didn't exist two years ago—across Fintech, Financial Services, CPG, Travel, and Life Sciences.. With offices in San Francisco and New York, we value in-person work but offer remote-opportunities for the right people. No matter where you join us, you can expect quarterly off-sites and opportunities to join other offices when you feel it’s important. You’ll be joining a team that values clarity, ownership, and shared responsibility—and is focused on building something that genuinely improves how teams work. The Role This is an Applied Scientist role specializing in agent system design for someone who wants to architect and implement the next generation of intelligent compliance systems. You will design frameworks where multiple agents—powered by custom and foundational models—work together to surface, track, and explain compliance flags. You will also build and optimize applied AI/ML pipelines, work across model fine-tuning, prompt engineering, evaluation frameworks, and customer-specific AI configurations, and train models based on user feedback to provide more targeted compliance recommendations. What You'll Do - Architect multi-agent systems – Design and implement frameworks that integrate foundational LLMs and custom-trained models to power intelligent compliance workflows - Build and optimize AI/ML pipelines – Model fine-tuning, prompt engineering, and evaluation frameworks - Ensure explainability and traceability – Build mechanisms for transparent flagging, ensuring every compliance flag is traceable to prior rules, examples, or data assets - Automate compliance rule translation – Build systems that transform compliance rules into agent-ready logic paths - Design, train, and fine-tune models – Improve compliance accuracy and adaptability using user feedback and outcomes data to drive iterative training and personalization - Design model evaluation and monitoring infrastructure – Ensure reliability and auditability across customer deployments - Collaborate cross-functionally – Work with Product Engineers to integrate AI features via APIs, data pipelines, and frontend; partner with model training engineers to incorporate feedback loops into system design; collaborate with compliance users to translate complex rules into agent workflows - Stay current on AI/ML advances – Prototype and apply new techniques to our platform Who You Are - Deeply technical and hands-on – you love building production ML systems, not just prototyping - Customer-outcome oriented – you care about how your models perform in the real world, not just on benchmarks - A fast learner who thrives at the intersection of AI and domain-specific problems, especially compliance and governance - Strong collaborator who can work across engineering, product, compliance, and customer-facing teams - Proactive and curious; you stay ahead of the rapidly evolving AI landscape - Excited to work in a high-trust, high-autonomy environment where your work directly impacts customers Who You'll Work With You will work closely with Blee's AI and engineering leadership, collaborating daily with product engineers and implementation managers. Requirements - 5+ years of applied ML/AI engineering experience - Strong knowledge of agent-based architectures and orchestration frameworks - Strong Python; proficiency with modern software engineering practices (APIs, microservices, distributed systems) - ML frameworks (PyTorch, TensorFlow, Hugging Face) - LLM experience: fine-tuning, prompt engineering, RAG, evaluation - Background in data preprocessing, feature engineering, and training pipelines - Production ML: model serving, monitoring, A/B testing, data pipelines - Strong communication skills and ability to work cross-functionally - Based in the Bay Area or NY & willing to come into the office 2-3 days a week How We Work: We have offices in New York and San Francisco and value in-person collaboration, but we're open to remote for the right person. Wherever you're based, expect bi-annual off-sites and the chance to spend time in our other offices when it matters. What You’ll Get: - Competitive salary and equity package - Bi-annual get-togethers - Fully paid medical, dental, and vision insurance - Free access to OneMedical (US Only) - Company-paid life insurance (US Only) - Company-sponsored 401k + matching (US Only) - Flexible time off (with mandatory 15 days off) - Financial support for work-adjacent learning opportunities Blee is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. For roles based in the US, applicants must have authorization to work for any employer. We are unable to sponsor or take over sponsorship of an employment Visa at this time Beware of Imposter Recruiters and Job Scams - All official communication from our talent team will come from an @blee.com email address. - We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process. - We will never request payment for equipment, training, or application processing. - Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/Blee If you are contacted by someone claiming to represent Blee but you’re unsure of their legitimacy, please reach out to us directly at hiring@blee.com before sharing any personal information.

Listed by Blee for a position based in the United States. Employers on this board attest they are hiring domestically.

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