San Francisco, CA · Remote
This position is 100% Remote. Principal Machine Learning Engineer Responsibilities: - Architect and ... Spark, TensorRT-LLM, Virtual Large Language Model, vLLM, Work From Home, ZeRO Ray, California ...
San Francisco, CA · Remote
This position is 100% Remote. Principal Machine Learning Engineer Responsibilities: - Architect and ... Spark, TensorRT-LLM, Virtual Large Language Model, vLLM, Work From Home, ZeRO Ray, California ...
Hawthorne, CA · On-site +1
$115K - $160K/yr
... Large Language Models * Keep current evolving LLM technologies, best practices, and the tools ... Remote and/or hybrid work will not be considered COMPENSATION AND BENEFITS: Pay Range: Level 1: ...
Hawthorne, CA · On-site +1
$115K - $160K/yr
... Large Language Models * Keep current evolving LLM technologies, best practices, and the tools ... Remote and/or hybrid work will not be considered COMPENSATION AND BENEFITS: Pay Range: Level 1: ...
San Jose, CA · On-site +1
$119K - $178K/yr
San Jose, California | Remote Flexibility Available Your Role You will be the technical cornerstone ... Familiarity with large language model (LLM) orchestration frameworks and patterns for agent ...
San Jose, CA · On-site +1
$119K - $178K/yr
San Jose, California | Remote Flexibility Available Your Role You will be the technical cornerstone ... Familiarity with large language model (LLM) orchestration frameworks and patterns for agent ...
San Jose, CA · On-site +1
$119K - $178K/yr
San Jose, California | Remote Flexibility Available Your Role You will be the technical cornerstone ... Familiarity with large language model (LLM) orchestration frameworks and patterns for agent ...
San Jose, CA · On-site +1
$119K - $178K/yr
San Jose, California | Remote Flexibility Available Your Role You will be the technical cornerstone ... Familiarity with large language model (LLM) orchestration frameworks and patterns for agent ...
Mountain View, CA · On-site +1
$250K - $325K/yr
... and large language model (LLM) integration-ensuring high availability and low latency. * Balance Innovation and Execution: Establish rigorous frameworks for A/B testing, model evaluation, and ...
Mountain View, CA · On-site +1
$250K - $325K/yr
... and large language model (LLM) integration-ensuring high availability and low latency. * Balance Innovation and Execution: Establish rigorous frameworks for A/B testing, model evaluation, and ...
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Francisco, CA · On-site +1
$241K/yr
... modal large language models along with a world-class team of research scientists, and machine ... Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest ...
San Francisco, CA · On-site +1
$241K/yr
... modal large language models along with a world-class team of research scientists, and machine ... Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest ...
REMOTE USA TOP SKILLS: Must Have AWS services- Bedrock, SageMaker, ECS and Lambda Demonstrated ... You'll design and deliver scalable, secure services that bring large language models into real ...
REMOTE USA TOP SKILLS: Must Have AWS services- Bedrock, SageMaker, ECS and Lambda Demonstrated ... You'll design and deliver scalable, secure services that bring large language models into real ...
San Francisco, CA · On-site +1
$298K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Francisco, CA · On-site +1
$298K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Francisco, CA · On-site +1
$298K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Francisco, CA · On-site +1
$298K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Jose, CA · On-site +1
$296K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Jose, CA · On-site +1
$296K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
Redwood City, CA · On-site +1
$200K - $350K/yr
Stay current with the latest developments in large-scale muli-node LLM training, alignment research ... Experience training or fine-tuning 30B+ large language models at scale, including familiarity with ...
Redwood City, CA · On-site +1
$200K - $350K/yr
Stay current with the latest developments in large-scale muli-node LLM training, alignment research ... Experience training or fine-tuning 30B+ large language models at scale, including familiarity with ...
... for large language models across real-time and batch inference, powering model inference at ... Build LLM infrastructure powering large-scale inference workloads for customers through partner ...
... for large language models across real-time and batch inference, powering model inference at ... Build LLM infrastructure powering large-scale inference workloads for customers through partner ...
Burbank, CA · On-site +1
Conduct research and experimentation to optimize Large Language Model (LLM) prompts for localization tasks, including machine translation, script adaptation, and automatic speech recognition (ASR)
Burbank, CA · On-site +1
Conduct research and experimentation to optimize Large Language Model (LLM) prompts for localization tasks, including machine translation, script adaptation, and automatic speech recognition (ASR)
Irvine, CA · On-site +1
Large language models (LLMs) * Retrieval-Augmented Generation (RAG) * Feature engineering and model ... Remote
Irvine, CA · On-site +1
Large language models (LLMs) * Retrieval-Augmented Generation (RAG) * Feature engineering and model ... Remote
San Francisco, CA · On-site +1
$123K - $169K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Francisco, CA · On-site +1
$123K - $169K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Jose, CA · On-site +1
$122K - $168K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
San Jose, CA · On-site +1
$122K - $168K/yr
... training, large language model inference, similarity search, guardrails, model evaluation ... Invent and introduce state-of-the-art LLM optimization techniques to improve the performance ...
Irvine, CA · On-site +1
Large language models (LLMs) * Retrieval-Augmented Generation (RAG) * Feature engineering and model ... Remote
Quick apply
Irvine, CA · On-site +1
Large language models (LLMs) * Retrieval-Augmented Generation (RAG) * Feature engineering and model ... Remote
| Aspect | Remote Large Language Model Llm | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in AI, NLP, or related fields; experience with machine learning frameworks | Degree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills |
| Work Environment | Primarily remote, focused on developing and fine-tuning language models | Remote or on-site, analyzing data, building models, and generating insights |
| Employer & Industry Usage | Tech companies, AI research labs, startups working on NLP products | Tech firms, finance, healthcare, marketing, and research organizations |
While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.
San Francisco, CA • Remote
Full-time
Medical, Dental, Vision, PTO
Re-posted 16 hours ago
Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company. The Principal Machine Learning Engineer will operate across training, inference, evaluation, and infrastructure, solving the hardest architectural and performance problems. While Technical Leads may own execution at the team level, you set the technical standard and shape how ML systems are built across the organization. This is a hands-on, high-impact role focused on depth. This position is 100% Remote.
Principal Machine Learning Engineer Responsibilities:
- Architect and build large-scale ML systems spanning data, training, evaluation, inference, and deployment.
- Design reproducible, high-performance training pipelines across GPU infrastructure.
- Architect inference systems that balance latency, throughput, cost, and reliability at scale.
- Design and maintain data systems for high-quality synthetic and real-world training data.
- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
- Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.
- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
- Work under real production constraints: latency, cost, reliability, and safety
Principal Machine Learning Engineer Outcomes:
- ML systems (training, inference, evaluation) are reliable, scalable, and meet defined performance targets.
- Models deployed to production achieve measurable quality improvements and meet user-impact goals.
- Production issues are proactively monitored, debugged, and resolved with clear root-cause analysis.
- Team and cross-functional collaborators benefit from clear guidance, best practices, and scalable ML solutions.
- Research-to-production cycles are efficient, safe, and continuously improve the product experience.
Principal Machine Learning Engineer Qualifications:
- Strong background in deep learning and transformer-based architectures.
- Artificial Intelligence (AI) experience required.
- Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.
- Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly.
- Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray).
- Strong software engineering fundamentals; you write robust, maintainable, production-grade systems.
- Experience with GPU optimization, including memory efficiency, quantization, and mixed precision.
- Comfort owning ambiguous, zero-to-one ML systems end-to-end.
- A bias toward shipping, learning fast, and improving systems through iteration.
- Experience with LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer.
- Contributions to open-source ML or systems libraries.
- Background in scientific computing, compilers, or GPU kernels.
- Experience with RLHF pipelines (PPO, DPO, ORPO).
- Experience training or deploying multimodal or diffusion models.
- Experience with large-scale data processing (Apache Arrow, Spark, Ray).
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
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