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eligible).</li>\n</ul>","enriched_at":1789841223367},{"id":"job_31c34076-ba8","title":"Solutions Engineering Lead, Consumer","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4735196005","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Scale plays a vital role in the development of AI applications, and consumer businesses are where those applications meet the most users, the most traffic, and the least patience for a bad experience.</p>\n<p>As Solutions Engineering Lead for Consumer, you&#39;ll be a player-coach: managing and growing a team of 3 to 5 Solutions Engineers while personally owning our most strategic consumer accounts.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Manage, coach, and grow a team of 3 to 5 Solutions Engineers, setting expectations, running deal reviews, developing careers, and hiring as the vertical scales.</li>\n<li>Personally own the technical win on our 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technical delivery areas, allocating scope, raising the technical bar, and unblocking them as they interface directly with stakeholders and end users</li>\n<li>Own the technical shape of what we deliver: whether we are combining Scale&#39;s products in the right way, extending them in the right way for this program, and being deliberate about what genuinely warrants a bespoke build</li>\n<li>Plan and sequence releases alongside engineering, anticipating technical risk early and putting engineering trade-offs in terms stakeholders can decide on</li>\n<li>Serve as the senior technical voice to program stakeholders and users, translating operational needs into delivery decisions the team can execute against</li>\n<li>Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers</li>\n<li>Leverage technical concepts, tools, and expertise to create solutions from 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on the program&#39;s technical delivery goals</li>\n<li>Address engineering problems alongside the product development teams</li>\n</ul>\n<p>Must Haves:</p>\n<ul>\n<li>An active TS/SCI clearance</li>\n<li>7+ years of experience succeeding in stakeholder management or customer-facing role</li>\n<li>Experience leading or mentoring other program managers, engineers, or technical staff</li>\n<li>Demonstrated ownership of the technical delivery of a complex, multi-workstream program with senior government or enterprise stakeholders</li>\n<li>Technical background (education or professional experience with CS, Economics, Statistics, Engineering)</li>\n<li>Deep understanding of ML operations process</li>\n<li>Working knowledge of software delivery pipelines and DevOps principles</li>\n<li>A track record of structured, analytics-driven problem-solving</li>\n<li>Excellent verbal and written communication skills</li>\n<li>Willingness to travel at least 25% of the 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vertical.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Manage, coach, and grow a team of 3 to 5 Solutions Engineers, setting expectations, running deal reviews, developing careers, and hiring as the vertical scales.</li>\n<li>Personally own the technical win on our most strategic healthcare and life sciences accounts, staying hands-on in demos, prototypes, and architecture conversations rather than managing from a distance.</li>\n<li>Build the vertical&#39;s technical playbook: reference architectures, demo environments, evaluation frameworks, and SOW patterns your team and the broader GTM org can reuse.</li>\n<li>Serve as the domain authority on deploying GenAI under healthcare constraints, including PHI handling and de-identification, HIPAA and HITRUST, validation and audit expectations, and the realities of clinical workflow adoption.</li>\n<li>Partner with AEs and GTM leadership on account strategy, technical qualification, and pilot scoping that converts into production 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Formal people management is welcome, but a credible track record as a tech lead or team lead matters more than title.</li>\n<li>Direct experience selling, building, or deploying software in healthcare or life sciences, with working fluency in the regulatory and data privacy environment (PHI, HIPAA, and validation requirements).</li>\n<li>Presentation skills with high technical credibility in front of both clinical or executive stakeholders and front-line engineers, plus the intellectual curiosity, empathy, and velocity to operate in a fast-moving vertical.</li>\n</ul>\n<h3>Nice to Haves</h3>\n<ul>\n<li>Hands-on GenAI, LLM, or applied machine learning experience, especially evaluation and model validation in a regulated setting.</li>\n<li>Clinical, biomedical, or pharma domain background (clinical informatics, EHR integration, pharmacovigilance, regulatory affairs, or R&amp;D).</li>\n<li>Experience standing up a new vertical, practice, or team from an early stage.</li>\n</ul>\n<h3>Benefits</h3>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>","enriched_at":1789758446859},{"id":"job_42623ea0-71e","title":"Engineering Manager, Connectivity","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4733702005","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions.</p>\n<p>You will lead the Connectivity Team, driving strategy, architecture, and development of connectivity solutions, focusing on API integration, distributed systems, and a robust data platform.</p>\n<h3>Responsibilities:</h3>\n<ul>\n<li>Own large areas within our product</li>\n<li>Work cross-functionally with internal and external customers</li>\n<li>Build features end-to-end: front-end, back-end, system design, debugging, and testing</li>\n<li>Deliver experiments at high velocity and quality to engage customers</li>\n<li>Work across the entire product lifecycle from conceptualization through production</li>\n<li>Influence the culture, values, and processes of a growing engineering team</li>\n<li>Inspire and mentor less experienced engineers</li>\n<li>Collaborate with cross-functional teams to define, design, and ship new product features and experiences.</li>\n</ul>\n<h3>Requirements:</h3>\n<ul>\n<li>At least 7-10 years of relevant experience</li>\n<li>Track record of shipping high-quality products and features at scale</li>\n<li>Desire to work in a fast-paced environment</li>\n<li>Ability to turn business and product ideas into engineering solutions</li>\n<li>Excellent problem-solving skills, and ability to work independently or as part of a team</li>\n<li>Excited to join a dynamic, hybrid team in either San Francisco or New York City</li>\n</ul>\n<p>The base salary range for this full-time position in San Francisco and New York is: $216,000-$270,000 USD.</p>\n<p>You&#39;ll also receive benefits including comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>","enriched_at":1789488355014},{"id":"job_10305094-be0","title":"Software Engineer - New Grad","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4730862005","location":"London","job_type":"full-time","experience_level":"entry","work_arrangement":null,"category":"Engineering","description":"<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions.</p>\n<p>As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one , shipping products, talking directly to the customers who use them, and iterating fast.</p>\n<p>The Global Public Sector team focuses on using AI to address critical challenges facing the public sector around the world. Core work consists of:</p>\n<ul>\n<li>Creating custom AI applications impacting millions of citizens</li>\n<li>Generating high-quality training data for national LLMs</li>\n<li>Upskilling and advisory services to spread AI impact</li>\n</ul>\n<p>Example projects include:</p>\n<ul>\n<li>Building reinforcement learning and post-training data pipelines</li>\n<li>Developing evaluation infrastructure for model reliability</li>\n<li>Shipping agentic AI applications and tooling</li>\n<li>Building fraud-detection systems</li>\n<li>Devising advanced matching algorithms</li>\n<li>Creating optimized UI/UX tooling with ML algorithms</li>\n<li>Developing new AI infrastructure products</li>\n<li>Integrating cutting-edge ML models</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Graduation date in Fall 2026 or Spring 2027 with a Bachelor&#39;s degree in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)</li>\n<li>Product engineering experience, such as building web apps full-stack, integrating with APIs and services, talking to customers</li>\n<li>Previous Product/Software Engineering internship experience</li>\n<li>Track record of shipping high-quality products and features at scale</li>\n<li>Experience building systems processing large volumes of data</li>\n<li>Experience with Python, Typescript, React, and/or MongoDB</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Hands-on experience with LLMs, evaluations, or agentic systems</li>\n<li>Open source contributions or a portfolio of shipped side projects</li>\n</ul>","enriched_at":1789398279337},{"id":"job_3381ceff-d51","title":"Software Engineer - New Grad","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4730851005","location":"Doha, Qatar","job_type":"full-time","experience_level":"entry","work_arrangement":null,"category":"Engineering","description":"<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions.</p>\n<p>As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one , shipping products, talking directly to the customers who use them, and iterating fast.</p>\n<p>The Global Public Sector team focuses on using AI to address critical challenges facing the public sector worldwide.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Create custom AI applications impacting millions of citizens</li>\n<li>Generate high-quality training data for national LLMs</li>\n<li>Provide upskilling and advisory services to spread AI impact</li>\n</ul>\n<p>Example Projects:</p>\n<ul>\n<li>Build reinforcement learning and post-training data pipelines</li>\n<li>Develop evaluation infrastructure for model reliability</li>\n<li>Ship agentic AI applications and tooling</li>\n<li>Build fraud-detection systems</li>\n<li>Use models to estimate task and contributor quality</li>\n<li>Devise advanced matching algorithms</li>\n<li>Create optimized UI/UX tooling with ML algorithms</li>\n<li>Develop new AI infrastructure products</li>\n<li>Build a customer service RAG application</li>\n<li>Integrate ML models to predict churn</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Graduation date in Fall 2026 or Spring 2027 with a Bachelor&#39;s degree in a relevant field</li>\n<li>Product engineering experience with full-stack web apps, API integration, and customer interaction</li>\n<li>Previous product/software engineering internship experience</li>\n<li>Track record of shipping high-quality products at scale</li>\n<li>Experience building systems processing large volumes of data</li>\n<li>Experience with Python, Typescript, React, and/or MongoDB</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Hands-on experience with LLMs, evaluations, or agentic systems</li>\n<li>Open source contributions or a portfolio of shipped side projects</li>\n</ul>","enriched_at":1789398265265},{"id":"job_bc621b79-cfb","title":"Software Engineering Intern (Summer 2027)","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4730834005","location":"Doha, Qatar","job_type":"internship","experience_level":"entry","work_arrangement":"onsite","category":"Engineering","description":"<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions.</p>\n<p>We are looking for a Software Engineering Intern to join our team in Doha, Qatar for Summer 2027.</p>\n<p>Our internship programme is not a side project. As an intern, you will own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Create custom AI applications that impact millions of citizens</li>\n<li>Generate high-quality training data for national LLMs</li>\n<li>Provide upskilling and advisory services to spread the impact of AI</li>\n</ul>\n<p><strong>Example Projects</strong></p>\n<ul>\n<li>Build reinforcement learning and post-training data pipelines</li>\n<li>Develop evaluation infrastructure for model reliability</li>\n<li>Ship agentic AI applications and tooling</li>\n<li>Build fraud-detection systems</li>\n<li>Use models to estimate task and contributor quality</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Graduation date in Fall 2027 or Spring 2028 with a Bachelor&#39;s degree in Computer Science, EECS, Computer Engineering, or Statistics</li>\n<li>Available for Summer 2027 internship in Doha, Qatar</li>\n<li>Product engineering experience with web apps, APIs, and customer interactions</li>\n<li>Previous Computer Science/Software Engineering internship experience</li>\n<li>Track record of shipping high-quality products and features</li>\n<li>Experience with Python, Typescript, React, and/or MongoDB</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Hands-on experience with LLMs, evaluations, or agentic systems</li>\n<li>Open source contributions or a portfolio of shipped side projects</li>\n</ul>\n<p><strong>How We Work</strong></p>\n<ul>\n<li>Earn Customer Love</li>\n<li>Team Flow</li>\n<li>Quality is Our Cheat Code</li>\n<li>Find the 20%</li>\n<li>Write the Market</li>\n<li>Three Moves Ahead</li>\n</ul>","enriched_at":1789398251639},{"id":"job_d39a07d1-71e","title":"Software Engineering Intern (Summer 2027)","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4730846005","location":"London","job_type":"internship","experience_level":null,"work_arrangement":null,"category":"Engineering","description":"<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions.</p>\n<p>We are looking for a Software Engineering Intern to join our team in London for Summer 2027. As an intern, you will own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking.</p>\n<p>Our Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. You will work on projects such as:</p>\n<ul>\n<li>Creating custom AI applications that impact millions of citizens</li>\n<li>Generating high-quality training data for national LLMs</li>\n<li>Upskilling and advisory services to spread the impact of AI</li>\n</ul>\n<p>Example projects include:</p>\n<ul>\n<li>Building reinforcement learning and post-training data pipelines</li>\n<li>Developing evaluation infrastructure for model reliability</li>\n<li>Shipping agentic AI applications and tooling</li>\n<li>Building fraud-detection systems</li>\n<li>Using models to estimate task and contributor quality</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Graduation date in Fall 2027 or Spring 2028 with a Bachelor&#39;s degree in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)</li>\n<li>Available for a Summer 2027 internship in London</li>\n<li>Product engineering experience, such as building web apps full-stack, integrating with APIs and services, and talking to customers</li>\n<li>Previous Computer Science/Software Engineering internship experience</li>\n<li>Track record of shipping high-quality products and features</li>\n<li>Experience building systems that process large volumes of data</li>\n<li>Experience with Python, Typescript, React, and/or MongoDB</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Hands-on experience with LLMs, evaluations, or agentic systems</li>\n<li>Open source contributions or a portfolio of shipped side projects</li>\n</ul>","enriched_at":1789398236437},{"id":"job_3ecb3715-019","title":"Staff Machine Learning Engineer, Public Sector","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4654382005","location":"Denver, CO","job_type":"full-time","experience_level":"staff","work_arrangement":null,"category":"Engineering","description":"<p>The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments.</p>\n<p>On the Public Sector team, you&#39;ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale.</p>\n<p>Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments.</p>\n<p>Through flagship programs like Donovan and Thunderforge, we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support.</p>\n<p>Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators.</p>\n<p>You will:</p>\n<ul>\n<li>Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability.</li>\n<li>Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data.</li>\n<li>Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently.</li>\n<li>Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets.</li>\n<li>Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions.</li>\n<li>Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts.</li>\n<li>Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments.</li>\n<li>Partner closely with engineering managers, product leaders, and researchers to scope high-impact initiatives and unblock execution across teams.</li>\n<li>Serve as a technical mentor and multiplier,raising the bar for system design, ML rigor, and production readiness across the organization.</li>\n<li>Comfortable with light travel (approximately 10%) for customer interaction and team needs.</li>\n</ul>\n<p>This role will require an active TS security clearance.</p>\n<p>Ideally You&#39;d Have:</p>\n<ul>\n<li>8+ years of experience building and deploying applied ML systems in production environments.</li>\n<li>Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps.</li>\n<li>Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation.</li>\n<li>Hands-on experience with retrieval systems, embeddings, or representation learning.</li>\n<li>Proficiency in Python and modern ML frameworks (ex: PyTorch), with the ability to design systems end to end.</li>\n<li>Demonstrated ability to operate at Staff-level scope: setting technical direction, owning ambiguous problems, and driving 0→1 initiatives to production.</li>\n<li>Experience making thoughtful tradeoffs across performance, cost, reliability, and development velocity.</li>\n</ul>\n<p>Nice to Haves:</p>\n<ul>\n<li>Experience deploying ML systems into air-gapped, classified, or otherwise disconnected environments - customer data centers, on-prem infrastructure, or networks with no path to a cloud provider.</li>\n<li>Prior work with DoD, the intelligence community, or federal mission users - including the judgment to learn a mission well enough to know what &quot;correct&quot; means for the operator using your system.</li>\n<li>Hands-on experience with geospatial data or GEOINT: reasoning over maps, imagery, or spatial reference systems.</li>\n<li>Depth in model adaptation - training or fine-tuning embedding models, instruction tuning, LoRA/PEFT, or RLHF.</li>\n<li>Experience building evaluation infrastructure for non-deterministic systems: LLM-as-judge, regression suites for agent behavior, or drift detection in production.</li>\n<li>A track record of turning a forward-deployed prototype into a supported, documented capability other engineers can deploy without you.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits.</p>\n<p>The base salary range for this full-time position in the location of Washington DC is: $274,400-$343,000 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