Staff Machine Learning Engineer

Overview

On Site
Full Time
Accepts corp to corp applications
Contract - W2
Contract - Long Term

Skills

llm
Pytorch
Verilog

Job Details

Job Title: Staff Machine Learning Engineer

Duration: 8-12 Months

Location: San Jose, CA- Onsite role

Why this role exists

We're building privacy?preserving LLM capabilities that help hardware design teams reason over Verilog/System Verilog and RTL artifacts-code generation, refactoring, lint explanation, constraint translation, and spec?to?RTL assistance. We're looking for a Staff?level engineer to technically lead a small, high?leverage team that fine?tunes and productizes LLMs for these workflows in a strict enterprise data?privacy environment.

What you'll bring (Minimum qualifications)

  • 10+ years total engineering experience with 5+ years in ML/AI or large?scale distributed systems; 3+ years working directly with transformers/LLMs.
  • Proven track record shipping LLM?powered features in production and leading ambiguous, cross?functional initiatives at Staff level.
  • Deep hands?on skill with PyTorch, Hugging Face Transformers/PEFT/TRL, distributed training (DeepSpeed/FSDP), quantization?aware fine?tuning (LoRA/QLoRA), and constrained/grammar?guided decoding.
  • AWS expertise to design and defend secure enterprise deployments, including:
  • Amazon Bedrock (model selection, Anthropic model usage, model customization, Guardrails, Knowledge Bases, Bedrock runtime APIs, VPC endpoints)
  • SageMaker (Training, Inference, Pipelines), S3, EC2/EKS/ECR, VPC/Subnets/Security Groups, IAM, KMS, PrivateLink, CloudWatch/CloudTrail, Step Functions, Batch, Secrets Manager.
  • Strong software engineering fundamentals: testing, CI/CD, observability, performance tuning; Python a must (bonus for Go/Java/C++).
  • Demonstrated ability to set technical vision and influence across teams; excellent written and verbal communication for execs and engineers.

Thanks & Regards

Ashish Chhabra

Last Word Consulting Inc.

Ph: Ext. 423 . Direct:

Email:

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