Artificial Intelligence Developer

1 week ago

San Mateo, California, United States Lumino Ai Full time
About Lumino

Lumino is a cutting-edge technology company dedicated to unlocking the full potential of Artificial Intelligence. Our mission is to empower individuals and organizations to harness the vast possibilities of AI, revolutionizing the way we live and work.

As a pioneer in the field, we are committed to fostering a culture of innovation, collaboration, and excellence. Our team of visionary experts works tirelessly to develop groundbreaking solutions that bridge the gap between humans and machines.

We are an equal opportunity employer, actively seeking talented professionals who share our passion for AI and our commitment to making a positive impact on society. If you're driven by a desire to push boundaries and make a difference, we want to hear from you

About the Role:

We're seeking an exceptional Machine Learning Engineer to join our dynamic team. As a key member of our infrastructure development squad, you will play a pivotal role in designing and building decentralized and distributed AI training pipelines. Your expertise will be instrumental in optimizing training for fast performance and low costs, as well as conducting research on cutting-edge techniques for training on heterogeneous environments.

You will:
  1. 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.
  2. Collect, clean, and preprocess data to create robust training datasets, working with complex datasets to ensure high-quality inputs for model training.
  3. 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.
  4. Evaluate model performance using appropriate metrics such as F1 scores, and conduct experiments to improve model accuracy and robustness.
  5. 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.
  6. 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.
  7. Monitor and maintain deployed models to ensure they continue to perform as expected, and implement processes for model retraining and updates as needed.
  8. Optimize training performance on various GPUs (e.g., V100, T4, RTX3090, A100) and assess trade-offs to minimize training time and improve infrastructure efficiency.
  9. Capture and analyze benchmarks on heterogeneous infrastructure, making performance improvements based on benchmark results.
  10. 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.
Requirements:

To succeed in this role, you should have:
  1. 2+ years of experience as a Data Scientist or Machine Learning Engineer.
  2. 1+ years of experience in Python and ML frameworks such as PyTorch, TensorFlow, and Jax.
  3. Experience in building, serving, and fine-tuning machine learning and large language models.
  4. Strong analytical skills with the ability to navigate ML system trade-offs.
  5. A high degree of initiative and end-to-end project ownership.
  6. Strong communication and collaboration abilities.
  7. Excellent problem-solving skills and the ability to learn quickly.
Nice to Haves:

While not required, it would be great if you had:
  1. Contributions to open source projects.
  2. Previous experience in a startup environment.
  3. Experience with latest Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques.
What We Offer:

As a valued member of our team, you can expect:
  • A competitive salary: $120,000 - $160,000 per year.
  • An exciting opportunity to design systems from the ground-up.
  • A fast-paced environment that allows you to learn and ship quickly.
  • Medical, dental, and vision insurance.
  • Whatever equipment you need to get the job done.
  • Github Co-Pilot and ChatGPT subscription.
  • 3 days a week in-office with the team, 2 days a week WFH.

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