Job Details

Senior Machine Learning Engineer

San Diego, CA | Full time

Job ID:

2359-001ML

Duration:

Long Term

Experience:

5-7 years

Career Level:

Senior Level

Compensation:

DOE

Industry:

Investment Banking

Job Description

  • 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.

Experience Required

  • 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.


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