← All jobs · Together AI

Machine Learning Engineer

Together AI ·
71
AI-Agency
B88 U45
📍 San Francisco, US 💰 $160K–$220K Senior 5+ yrs
PythonGoRustCC++vLLMSGLangTRT
TL;DR

ML Engineer at Together AI building production inference and fine-tuning systems for LLMs. Focus on high-performance runtime systems, distributed infrastructure, and API reliability at scale.

Apply at Together AI →
share:
you'll be redirected to the company's career page

Job description

About the Role

Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs.

Requirements

Responsibilities

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

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.

Please see our privacy policy at https://www.together.ai/privacy  

Apply at Together AI →

More open roles at Together AI

Together AI ⚡ AI-native · 🔄 synced 7h ago
AI Researcher, Core ML (Turbo)
📍 San Francisco, US · Senior
AI Researcher, Core ML at Together AI building efficient inference and RL/post-training systems. Role spans algorithms, inference engines (SGLang, vLLM), and production-scale RL pipelines to optimize model speed, cost, and capabilities.
PythonSGLangvLLMGRPORLHFDPO
88
AI-core
Together AI ⚡ AI-native · 🔄 synced 7h ago
Staff Machine Learning Engineer, Voice AI
📍 San Francisco, US · Staff
Staff ML Engineer at Together AI optimizing voice model inference infrastructure. Focus on serving engines (vLLM, SGLang, TRT-LLM), GPU optimization, and productionizing STT/TTS/speech-to-speech models at scale.
vLLMSGLangTensorRT-LLMPythonPyTorchCUDA
82
AI-core
Together AI ⚡ AI-native · 🔄 synced 7h ago
Research Engineer, Core ML
📍 San Francisco, US · Staff
Research Engineer, Core ML at Together AI building production inference and RL/post-training systems. Focus on efficient inference algorithms, speculative decoding, and scaling RL pipelines to optimize latency, throughput, and model quality.
PythonSGLangvLLMATLASPyTorchGRPO
82
AI-core
Together AI ⚡ AI-native · 🔄 synced 7h ago
Forward Deployed Engineer (Inference & Post-Training)
📍 San Francisco, US 🌐 Remote 💰 $270K–$300K 🛠 AI tools welcome at work · Senior
Forward Deployed Engineer at Together AI optimizing inference engines and post-training pipelines for strategic customers. Hands-on technical partner advising on model deployment, fine-tuning, and production scaling.
vLLMTensorRT-LLMSGLangPythonLoRADPO
79
AI-core
Together AI ⚡ AI-native · 🔄 synced 7h ago
Forward Deployed Engineer (GPU Clusters)
📍 San Francisco, US 🌐 Remote 💰 $270K–$300K · Senior
Forward Deployed Engineer at Together AI supporting large-scale GPU cluster deployments for AI model builders. Responsibilities include cluster hardening, infrastructure optimization, Kubernetes/SLURM tuning, and benchmarking to ensure customer success on high-performance training workloads.
KubernetesSLURMInfiniBandRoCENVLinkPython
73
AI-fluent