10 Senior Machine Learning Engineer Jobs in San Mateo, CA
Lumino is Hiring a Senior Machine Learning Engineer Near San Mateo, CA
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About the role:
We’re looking for a Machine Learning Engineer to join our team and help set the foundations of the company. You will be responsible for designing and building decentralized and distributed AI training pipelines, optimizing training for fast performance and low costs, and conducting research on cutting edge techniques for training on heterogeneous environments.
You will:
- Design, develop, and optimize machine learning models and algorithms for various applications, including computer vision, NLP, and audio/video processing. Implement basic to advanced model architectures, starting with minimalist implementations.
- Collect, clean, and preprocess data to create robust training datasets, working with complex datasets to ensure high-quality inputs for model training.
- Train various deep learning models on different GPUs, including multi-GPU setups, and improve model performance and resource utilization by fine-tuning hyperparameters and using advanced techniques like LoRA and QLoRA quantization.
- Evaluate model performance using appropriate metrics such as F1 scores, and conduct experiments to improve model accuracy and robustness.
- Deploy machine learning models into production environments, ensuring scalability, efficiency, and reliability while managing the deployment of models on both cloud and bare-metal infrastructure.
- Work closely with cross-functional teams to understand business requirements and translate them into technical solutions, collaborating with data scientists and software engineers to integrate models into production systems.
- Monitor and maintain deployed models to ensure they continue to perform as expected, and implement processes for model retraining and updates as needed.
- Optimize training performance on various GPUs (e.g., V100, T4, RTX3090, A100) and assess trade-offs to minimize training time and improve infrastructure efficiency.
- Capture and analyze benchmarks on heterogeneous infrastructure, making performance improvements based on benchmark results.
- Own and manage MLOps processes, train custom Lumino models including fraud detection, build and improve internal inference systems for model evaluation, and enhance existing evaluation processes in the ML pipeline.
- You have 5 years of experience as a Data Scientist or Machine Learning Engineer. 3 years for candidates with PhD
- You have 3 years in Python and ML frameworks such as PyTorch, TensorFlow, and Jax.
- You have experience in building, serving, and fine-tuning machine learning and large language models
- You have strong analytical skills with the ability to navigate ML system trade-offs
- You have a high degree of initiative and end-to-end project ownership
- You have strong communication and collaboration abilities
- You have excellent problem-solving skills and ability to learn quickly
- Previous experience in a startup environment
- Contributions to open source projects
- Previous experience in a startup environment
- Experience with latest Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.
- Opportunity to design systems from the ground-up 🚀
- Fast paced environment that allows you to learn and ship quickly 🛥️
- Competitive salary share of equity and token pool 💰
- Medical, dental, and vision insurance 🏥
- Whatever equipment you need to get the job done 💻
- Github Co-Pilot and ChatGPT subscription ⚡
- 3 days week in-office with the team, 2 days a week WFH 🙂
Job Summary
Full Time
$140k-177k (estimate)
08/29/2024
09/26/2024
luminoideas.com
Lafayette, CO
<25
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The job skills required for Senior Machine Learning Engineer include Machine Learning, Algorithms, Python, Deep Learning, Computer Vision, Collaboration, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Machine Learning Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Machine Learning Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Senior Machine Learning Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Machine Learning Engineer. You can explore the career advancement for a Senior Machine Learning Engineer below and select your interested title to get hiring information.
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