Senior Machine Learning Engineer – San Francisco, CA

Senior Machine Learning Engineer

We are working with a fast-growing tech company in San Francisco who are solving the big problems around food waste and the fresh food supply chain. They are using cutting-edge AI combined with thoughtful design to enhance decision-making and optimize store workflows.

 

Due to rapid growth, they are seeking a Senior Machine Learning Engineer to join the team. You will have at least 4 years of industry machine learning experience.

 

What will you be doing?

  • Training machine learning models over billions of data points.
  • Quantifying predictive uncertainty using probabilistic and Bayesian methods.
  • Creating models that quickly generalize to new tasks using few-shot and meta-learning.
  • Training agents that execute decisions to optimize a reward over time.
  • Implementing state-of-the-art model-based planning and reinforcement learning algorithms, including offline and off-policy methods that learn from human demonstrations.
  • Scaling machine learning systems to massive datasets using big data technologies such as Spark and Hadoop.
  • Building visualization and data exploration tools that automate the analysis and debugging of machine learning models.

 

What skills and experience do you need?

  • Masters or Ph.D. in computer science, or equivalent.
  • 4+ years of work experience.
  • Strong programming and problem-solving skills.
  • Deep knowledge of machine learning, including both supervised and reinforcement learning.
  • Specific subfields include deep learning, probabilistic and Bayesian methods, few-shot and meta-learning, model-based planning, and imitation learning.
  • Proficiency in the Python machine learning stack, including NumPy, pandas, TensorFlow, Keras, PyTorch.
  • Experience with reinforcement learning, model-based planning, and/or control theory is a plus.

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