3 jobs found

Job Description Job Description Principal AI Engineer Recruits Lab exists to connect exceptional life sciences and technology talent with organizations that need them-through relationships, not volume. As Principal AI Engineer you will turn that mission into production systems: models and pipelines that find passive specialists, score fit against real hiring outcomes, and give our recruiters an unfair advantage in markets where the best people never apply. Performance Objectives Ship, within 90 days, a production matching engine that ranks passive life-sciences and tech candidates against live searches using structured outcomes (quota, tenure, named-account signal), not keyword overlap. Cut time-to-calibrated-shortlist by 40% in two core practices (life sciences commercial and AI/ML technical) by automating sourcing maps, outreach ranking, and due-diligence prompts recruiters actually use. Stand up an evaluation loop that ties model decisions to placement quality-90-day retention, ramp, and client NPS-and retrain quarterly on those labels. Own end-to-end reliability of LLM and retrieval systems used in live searches: latency, cost, hallucination rate, and auditability for client-facing work. Partner with recruiters to productize two high-leverage workflows (territory mapping and technical-bar screening) so they become default process, not side experiments. Define and enforce data contracts, privacy, and bias checks for candidate and client data so we can scale AI without breaking trust. Environment & Resources You report to the founding team in a 11-50 person, early-stage firm based in Fort Lauderdale, working remotely-first with recruiters who live in the territories they cover. You will have latitude on stack (Python, modern LLM/RAG tooling, vector search, light MLOps), access to real search data and recruiter feedback, and a mandate to ship rather than prototype. Budget follows proven lift in placement speed and quality. Essential Qualifications Proven ownership of production AI/ML systems that changed a business metric (matching, ranking, retrieval, or agentic workflows)-not research-only or demo work. Hands-on depth in LLMs, embeddings, evaluation, and cost/latency tradeoffs; you have shipped and operated, not just prompted. Ability to translate messy domain knowledge (quota, buyer types, passive talent maps) into features, labels, and guardrails recruiters will trust. Comfort working with small teams: you write the design, the code, the eval, and the runbook. Track record of ethical handling of people data and clear communication with non-engineers. Role Selling Points Direct line from model to placement: you will see whether a ranking change filled a histology sales seat in Tri-State or a Principal ML role in Boston. Domain that compounds-life sciences and specialized tech hiring is relationship-dense, high-stakes, and poorly served by generic ATS AI. Early-stage ownership: architecture, priorities, and standards are still yours to set. Mission you can defend: candidate-centric staffing, not spray-and-pray volume. If you want to build AI that actually moves hard-to-fill searches, apply with a short note on a production system you owned and the metric it moved. We hire the same way we recruit: targeted, calibrated, and serious about outcomes.

Job Description Job Description About Ayo We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI. The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required. What You'll Do: Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips. Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware. Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware. Support go-to-market strategy development What We're Looking For: PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale. Experience training models at scale - distributed training across many GPUs, working with large datasets and compute. Has built and trained neural networks from scratch Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus). Excitement about applying deep AI expertise to new and novel hardware environments - you don't need prior experience with photonics or silicon, but you want to learn. Fluent knowledge of Python Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries Why Ayo You'll be a founding AI team member - shaping how we think about and deploy AI as a company. We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform. Early-stage means real ownership, real impact, and meaningful equity. Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision. Fully onsite in Boston - we are a collaborative, in-person team.

Job Description Job Description At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: Dark Matter Lab is a high-autonomy innovation lab built for rapid experimentation, deep-tech prototyping, and bold moonshot thinking. We're a small team of hands-on builders exploring the edges of what's possible, turning raw ideas into world-changing technologies that could reshape the future of aerospace and beyond. Here, there are no roadmaps handed down - only frontiers to navigate. We operate with speed, embrace ambiguity, and value learning through building. Whether we're developing new hardware, prototyping full-stack systems, or pursuing ideas with breakthrough potential, our work lives at the edge of what's next. You'll be part of a small, multidisciplinary team empowered to define your own projects, move fast, and bring ideas to life. Ideas that one day may advance space systems, autonomous factories, or entirely new industries. Dark Matter Lab lives within Relativity Space, a company building the next-generation commercial rocket. By incubating bold ideas and exploring novel applications of Relativity's core capabilities, Dark Matter Lab aims to create high-impact programs with long-term value for Relativity, the aerospace industry, and society at large. If you're driven by curiosity, motivated by impact, and excited to work where the rules haven't been written yet, Dark Matter Lab is where you belong. About the Role: As part of the 10-person founding team of Dark Matter Labs, you'll be empowered to identify, explore, analyze, prototype, and realize world-changing ideas in space. This role will allow you to bring your own passions for space as well as explore, find, and prove out new moonshots on the cutting edge of science and engineering. Moonshot Engineers will be wearing many different hats, from technical leadership, detailed design & analysis, prototype build & testing, vendor management & POs, and other responsibilities necessary to make moonshots a reality. This role will be expected to take ownership of a handful of moonshots and drive them all the way from an ambiguous "What if " idea, organizing contributions from other lab members, proving the idea via prototype testing, and finally realizing the idea through design and production of a scaling product. Likewise, this role will also be contributing directly to a number of other moonshots through technology exploration, detailed analysis, part design, prototype build or testing, and other engineering efforts. About You: Bachelor's degree in Engineering, Physics, Mathematics, or a related field. 7+ years of experience in design and delivery of complex systems or products Passionate self-starter with a track record of charting a path through ambiguity, leading technical projects, organizing efforts & people, and managing timelines and expectations Deep technical expertise in one core discipline (i.e. Mechanical, Electrical, Software, etc.) but familiar & comfortable with a multitude of other disciplines Great communication and interpersonal skills, with the ability to collaborate effectively with many different other mindsets and perspectives and willingness to challenge and be challenged Hands-on design, build, and test experience with hardware and/or software required for prototyping - familiar with or willing to learn CAD, EE/PCB, harnessing, embedded SW, python, test hardware, etc Nice to have but not required: Proven track record of delivering tangible hardware or product in highly open ended or ambiguous environments or product spaces Prior experience at hardware & software early phase technology exploration or innovation labs (i.e. GoogleX, Skunkworks, etc ) At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors. Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here. Hiring Range: $144,000-$307,000 USD We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need a reasonable accommodation, please contact us at . Please note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.