Machine Learning Engineer

Job not on LinkedIn

🔥 3 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Architect, deploy, and scale open-source models using Kubernetes, Ray, Slurm, or other distributed orchestration frameworks • Design and build machine learning systems and data pipelines • Design experiments, prompt-tune, evaluate, and deploy production-grade models and AI agents • Build flexible mechanisms to benchmark performance and swap models for evolving use cases • Run comprehensive model benchmarks and perform error and gap analysis on model outputs • Build analytics dashboards to communicate system performance findings to stakeholders • Own features from ideation through production • Manage architectural decisions and coordinate updates across accessible and restricted code repositories • Participate in community interactions • Build automated testing frameworks and secure GitLab CI/CD pipelines • Deploy and scale models across distributed infrastructure • Manage GPU orchestration and build advanced AI workflows

🎯 Requirements

• Master’s or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience • 3+ years of professional experience writing production-grade, asynchronous Python • Deep experience with LangChain, Hugging Face libraries, vLLM, and SGLang • Experience with TensorFlow, PyTorch, and Scikit-learn • Proficiency in data analysis using Python, pandas, NumPy, or similar • Hands-on experience with production-grade model deployment, performance monitoring and analysis, and scaling using Kubernetes, Ray, or Slurm • Strong understanding of GPU memory management and infrastructure-level tuning for high-throughput, low-latency AI inference workflows • Advanced knowledge of GitLab pipelines, automated test jobs, and vulnerability scanners in MR workflows • Expert familiarity with Python testing frameworks such as PyTest, mocking libraries, and automated test generation frameworks for AI workloads • High proficiency in advanced Git workflows, including rebase strategies, cryptographic commit signing, and public/private repository mirroring • Experience with alignment/fine-tuning of LLMs, VLMs, or any-to-text is a plus • Prior scientific research and publication experience is a plus

🏖️ Benefits

• Competitive salaries • Comprehensive benefits package • Equity