Research Engineer

Research EngineerUnlock New Career Opportunities with SA Technologies Inc. We're Hiring: Research Engineer At SA Technologies Inc., we believe in turning career aspirations into reality. As a CMMI Level 5 and Great Place to Work® Certified global IT consulting and services company—and recognized as one of the Best Places for Women—we are committed to building an inclusive, supportive, and high-performance workplace The Impact You'll Make Our research team is expanding to keep pace with a wave of frontier-facing work: internal research streams, client engagements that require real ML depth, and emerging opportunities at the cutting edge of the field. As a Research Engineer, you'll take a research direction and run with it - finding the right papers, benchmarks, and prior work, reimplementing what's relevant, and building out the process to reproduce and improve on it internally. You'll own initiatives end to end: partnering with strategic project and technical leads to scope the work, building MVPs to validate ideas (including through human annotation and agents), and turning that work into something concrete - a customer dataset, a pilot, an internal dataset that becomes a paper or blog post, or a joint publication with a partner. You won't be handed a fully specified task list; you'll be given a direction and the autonomy to turn it into a research plan. This is a full-time, hybrid position based in San Francisco.What You'll DoTake a research direction and independently identify supporting resources - papers, benchmarks, blog posts - then implement or reimplement the relevant methodsBuild and own the process to reproduce prior work internally and identify ways to improve on itOwn projects (for example, an RL/agentic environment build for a partner or a novel multimodal benchmark) end to end, including scoping, MVP implementation, and validationPartner with strategic project leads and technical leads to translate ambiguous requirements into a concrete, testable research planValidate ideas through hands-on implementation, including annotating, evaluating, or sourcing dataTurn research directions into tangible outputs - a paid customer dataset, a customer pilot, an internal dataset, or a paper/blog post for publication or conference presentationBring an ML perspective to new opportunities — assessing technical feasibility of incoming requests and helping shape proposals where research depth is neededWhat You'll BringMS or PhD in ML, CS, or a related quantitative field - or equivalent demonstrated research experience (publications, significant open-source research work, industry research)Real ML depth: you understand how models are trained and evaluated, not just how to call an API. You can read a paper, judge whether its claims hold, and reimplement the methodHands-on experience with at least one of: RL/agentic systems, AI/ML evaluation and benchmarking, or multimodal MLStrong Python and the engineering ability to build and ship your own experiments - eval harnesses, environments, infrastructure - without relying on a platform teamHigh autonomy: you can turn an ambiguous direction into a concrete research plan and notice when something's off before being toldClear technical writingNice To HavePublication track record (first-author preferred)Experience with agent or multimodal benchmarks (OSWorld, MMMU, WebArena, SWE-bench, or similar) or building RL environments/gymsFamiliarity with reward modeling, reward hacking, or verifier/judge reliabilityFamiliarity with synthetic data generation or human-in-the-loop (HITL) workflowsExperience with cloud infrastructure and containerized environmentsRequirementsWhy SA Technologies Inc.? Empowering Work Environment: A Great Place to Work, especially celebrated as one of the Best Places for Women. Excellence and Quality: A CMMI Level 5 Company, ensuring operational and service excellence. Globally Acclaimed: A Microsoft Gold Partner and Google Partner, with over 20 years of global IT consulting and Development solutions delivery.