Together AI

Together AI

Research Engineer, Core ML

San Francisco · Full-time

Sponsorship not specified$200k-$280kDetected 11 days ago
PythonDistributed SystemsAlgorithmsMachine LearningNLPLLMsA/B TestingResearchLeadership

About the role

  • This is a research engineering role with direct production impact.
  • You won't be publishing ideas in isolation-you will translate new RL algorithms, scheduling methods, and inference optimizations into production-grade systems that power Together's API.
  • Success in this role means shipping measurable improvements in latency, throughput, cost, and model quality at scale.

Responsibilities

  • Design and prototype algorithms, architectures, and scheduling strategies for low‑latency, high‑throughput inference.
  • Implement and maintain changes in high‑performance inference engines (e.g., SGLang‑ or vLLM‑style systems and Together's inference stack), including kernel backends, speculative decoding (e.g., ATLAS), quantization, etc.
  • Profile and optimize performance across GPU, networking, and memory layers to improve latency, throughput, and cost.
  • Design and operate RL and post‑training pipelines (e.g., RLHF, RLAIF, GRPO, DPO‑style methods, reward modeling) where 90+% of the cost is inference, jointly optimizing algorithms and systems.
  • Co‑design algorithms and infrastructure so that objectives, rollout collection, and evaluation are tightly coupled to efficient inference, and quickly identify bottlenecks across the training engine, inference engine, data pipeline, and user‑facing layers.
  • Run ablations and scale‑up experiments to understand trade‑offs between model quality, latency, throughput, and cost, and feed these insights back into model, RL, and system design.
  • Own critical systems at production scale
  • Profile, debug, and optimize inference and post-training services under real production workloads, taking research ideas all the way to stable, measurable improvements in deployed systems.
  • Drive roadmap items that require real engine modification-changing kernels, memory layouts, scheduling logic, and APIs as needed.
  • Establish metrics, benchmarks, and experimentation frameworks to validate improvements rigorously.

Requirements

  • People on this team typically have deep expertise in one or more areas and enough breadth (or interest) to work effectively across the stack.
  • The closer you are to full‑stack (inference + post‑training/RL + systems), the stronger the fit-but being spiky in one area and eager to grow is absolutely okay.
  • Have a bias toward implementation and shipping -you are excited to modify real engines and services, not just prototype in research code.
  • Experience profiling and optimizing performance across GPU, networking, and memory layers.
  • Track record of impactful work in ML systems, RL, or large‑scale model training (papers, open‑source projects, or production systems).
  • You enjoy collaborating with infra, research, and product teams, and you care about both scientific quality and user‑visible wins.
  • 3+ years of experience working on ML systems, large‑scale model training, inference, or adjacent areas (or equivalent experience via research / open source).
  • Advanced degree in Computer Science, EE, or a related field, or equivalent practical experience.

Nice to have

  • some are more RL‑first, some are more systems‑first.

Compensation

  • We offer competitive compensation, startup equity, health insurance and other competitive benefits.
  • The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits.
  • Our salary ranges are determined by location, level and role.
  • Individual compensation will be determined by experience, skills, and job-related knowledge.

Company info

  • We are looking for researchers who enjoy owning systems end-to-end and turning frontier ideas into robust infrastructure.

Equal opportunity

  • Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Visa & Work Authorization

  • t opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more
Apply directly at Together AI →Create a free account for alerts like thisView Together AI immigration profile

This listing is sourced directly from Together AI's careers page and normalized into a canonical job model.