Field Engineer (Presales) - Northeast (Boston/NY)

WHO WE ARE Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it. Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical-trial decisions with BostonGene. The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team. We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, do top-tier research, and hold each other to an extremely high bar. What's next. In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here, which makes this an ideal time to join. CORE AREAS OF IMPACT A model that tops a benchmark and a model that changes how an organization works are two different things. You'll take our tabular foundation models into our most strategic customers' environments - integrating them into real platforms and pipelines, doing the hands-on data science to prove value, and owning the implementation through to production. This is a senior role: You'll own engagements end-to-end with high autonomy, make hard technical calls under ambiguity, and work shoulder-to-shoulder with customer data science teams as a senior peer. The patterns you uncover in the field won't stay in the field - they flow straight back to our researchers and shape what we build next. You won't just deploy models; you'll help shape how Prior Labs deploys as we scale. What You'll Do: * Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines. * Do the Data Science: Frame the problem on real, messy data, engineer features, model it, and benchmark rigorously against the customer's current baseline. * Own Delivery: Carry use cases end-to-end - from first conversation to a reliable, documented production solution you stand behind. * Partner Deeply: Work with customer data science and ML teams as a peer, earn their trust, and make them faster with our models. * Tailor & Optimize: Customize models for diverse use cases, trading off performance, latency, scale, and cost. * Close the Loop: Turn deployment insights into sharp, prioritized feedback that shapes the model and product roadmap. * Set the Standard: Establish the deployment patterns the team builds on as we scale. WHAT WE’RE LOOKING FOR: * 3+ years building and deploying ML systems in production, with a track record of owning hard problems end-to-end. * Strong engineering fundamentals and expert-level Python. * Deep, hands-on ML ability - you build models you understand and can defend, not just call an API. Strong with PyTorch and scikit-learn, with a solid grasp of transformer / foundation-model approaches. * Depth in tabular, time series, or structured-data ML. * Proven cloud deployment (AWS, GCP, or Azure) into production, kept reliable under real-world conditions. * Mature customer instinct - you diagnose the real problem, navigate technical and business stakeholders, and drive to outcomes. * High autonomy and sound judgment in ambiguity, and a bias toward clean, maintainable, well-documented code. What sets you apart * Prior forward-deployed, solutions engineering, or senior technical customer-facing experience. * Contributions to relevant open-source projects in ML or data engineering. * Experience integrating with enterprise data ecosystems and designing APIs and deployment pipelines. Life at Prior Labs We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with. We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you. We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters. Most of our roles are based in one of our offices but great people come from everywhere, and in exceptional cases we're open to remote. This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together. Our Commitments We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box." We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are. We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking an experienced and strategic Governance, Risk, and Compliance (GRC) team member as we expand into government and public sector applications of AI. This critical role will ensure that SpaceXAI operates within regulatory, ethical, operational, and federal boundaries while fostering a culture of integrity and resilience. You will collaborate with cross-functional teams to safeguard our mission-driven work in AI development and deployment, including support for sensitive and classified environments. RESPONSIBILITIES: * Execute security compliance implementation and audits (e.g., ISO 27001/42001, SOC2, FedRAMP HIGH, DoD Cloud Computing SRG IL5/IL6, NIST 800-53 rev 5, NIST 800-171/CMMC, Risk Management Framework). * Work with 3PAOs (Third-Party Assessment Organizations) and federal government Authorizing Officials (AOs) to achieve compliance certifications, reports, and Authorized to Operate (ATO) status. * Identify, assess, and prioritize risks related to AI operations, cybersecurity, regulatory compliance, intellectual property, and cloud deployments. * Design and implement risk mitigation strategies, including monitoring systems, contingency plans, vulnerability scans, Plan of Action and Milestones (POAMs), and STIGs. * Ensure the implementation, oversight, monitoring, and maintenance of security configurations, practices, and procedures throughout the project lifecycle. * Serve as a liaison between system owners, security personnel, and cross-functional teams to facilitate effective communication, collaboration, and control implementation. * Lead Risk Management Assessment and Authorization (A&A) processes, cloud system risk assessments, compliance reviews for new products/changes/features, and process enhancements. * Conduct regular risk assessments, scenario analyses, and proactive evaluations of emerging threats, certifications, requirements, and technologies in the AI landscape. * Oversee audits, certifications, third-party assessments, and vulnerability management to maintain compliance and operational credibility. * Act as a subject matter expert, providing guidance on risk, compliance, and cybersecurity matters; translate business and technical risks for leadership. * Create and present regular reports on GRC performance, risks, and compliance status to senior leadership and stakeholders. BASIC QUALIFICATIONS: * Bachelor’s degree in computer science, Information Security, Cybersecurity, or in an engineering/STEM field * 3+ years of experience in governance, risk management, compliance, or technology audit roles. * Experience with vulnerability management, POAMs, STIG implementation, and cloud security controls. PREFERRED SKILLS AND EXPERIENCE: * 5+ years of security compliance or technology audit-related. * Previous systems engineering experience strongly preferred * Ability to evaluate control objectives with IT configurations * Experience in the tech or AI industry, particularly with startups, innovative organizations, or government/public sector engagements. * Proven expertise in regulatory frameworks, data privacy, cybersecurity, and federal compliance standards, preferably in a technology, cloud, or AI-driven environment. * Strong understanding of AI ethics, emerging technologies, Risk Management Framework (RMF), and their associated risks. * Exceptional analytical, problem-solving, organizational, and project management skills, with the ability to balance innovation, oversight, and taking projects from conception to launch. * Excellent communication, stakeholder management, and translation skills, with experience influencing cross-functional teams and communicating risks to leadership. * Ability to thrive in a fast-paced, dynamic environment and adapt to evolving priorities. * Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar preferred. * Deep expertise maintaining frameworks such as FedRAMP, DoD Cloud Computing SRG, NIST 800-171, NIST 800-53, CMMC, and STIG/RMF policies (including validation via ACAS and similar tools). * Familiarity with ISO 27001, ISO 42001, NIST, SOC 2, or similar compliance frameworks. * Background in managing third-party risk, vendor compliance programs, or federal assessments. * Understanding of cybersecurity controls for cloud service providers. * Knowledge of government cloud services and evolving certification programs. COMPENSATION AND BENEFITS: $100,000 - $258,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. ITAR REQUIREMENTS: * To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.