Senior ML Engineer

Senior Client Engineer

SAN FRANCISCO, CA ENGINEERING FULL-TIME 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 PhD 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 with the Python machine learning stack, including numpy, scipy, pandas, scikit-learn, matplotlib, tensorflow, keras, pytorch.
• Experience with reinforcement learning, model-based planning, and/or control theory is a plus.