Explore AI roles

Keyboard friendly • Copy, share & save roles

Sort by

Fulltime Machine Learning Deep Learning Mlops

Fully remote

Apply

Senior AI Engineer | NLP | Large Language Models | Machine Learning | Remote, US We are looking for multiple Senior A...

Fulltime Remote Ai Machine Learning

Fully remote

Apply

Machine Learning Pytorch Ai Fulltime

Fully remote

Apply

Remote Ai Machine Learning Nlp

Fully remote

Apply

Note: The job is a remote job and is open to candidates in USA. Enigma is seeking multiple Senior AI Engineers to bui...

Remote Ai Engineer Machine Learning

$105k - $108k* · Senior Fully remote

Apply

Selected role

Machine Learning Engineer Python Pytorch Distributed Training Optimisation GPU Hybrid San Jose CA

Enigma San Jose, CA

Live

Full-time Posted 25 days ago 2 min read

**Title:**
Machine Learning Engineer

**Location: San Jose, CA**

**Responsibilities:**

* Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
* Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
* Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
* Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
* Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
* Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
* Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

**Educational Qualifications:**

* Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
* Strong systems/ML engineering with exposure to distributed training and inference optimization.

**Industry Experience:**

* 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
* Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
* Experience collaborating across Research, Platform/Infra, Data, and Product functions.

**Technical Skills:**

* Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
* Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
* Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
* Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
* Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
* Write performant, maintainable code
* Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

Explore the complete AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI Learning Hub · Always curated, never noisy

Simple pricing for serious AI hiring

Pay per listing. No subscriptions, no hidden fees. Designed for teams hiring for high-impact AI roles.

No-risk: replace or refund if the role doesn’t get traction.

Standard listing

Reach active AI talent

For startups

$349 per role

30-day live listing in the AI job feed.
Structured posting written for AI engineers (we’ll help refine copy).
Instant alerts to subscribed candidates for your tags (LLMs, agents, infra, etc.).

Most teams see first applicants within 24–48 hours.

Max visibility to senior talent

For scale-ups

$649 per role

Everything in Standard, plus homepage & “Featured role” placement.
Priority placement in weekly AI roles newsletter.
1:1 review of your role with DevFound to calibrate for top-tier candidates.
Highlight badge on job page to increase conversion.

Best for teams hiring 1–3 critical AI roles this quarter.

Enigma Jobs

Explore AI roles

Machine Learning Engineer Python Pytorch Distributed Training Optimisation GPU Hybrid San Jose CA

Senior AI Engineer NLP Large Language Models Machine Learning Remote US

Machine Learning Engineer Python Pytorch Distributed Training Optimisation GPU Hybrid San Jose CA

Senior AI Engineer NLP Large Language Models Machine Learning Remote US

[Remote] Senior AI Engineer NLP Large Language Models Machine Learning Remote US

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent