Job Description
This role involves designing and developing machine learning infrastructure and applications to enhance the safety, efficiency, and sustainability of physical operations across various industries, working closely with cross-functional teams to deliver scalable AI solutions.
Key Responsibilities
- Design and build ML infrastructure for batch and real-time models used in customer-facing products
- Lead zero-to-one ML AI initiatives to develop new products from scratch
- Collaborate with ML scientists and engineering teams to enable successful cross-functional projects
- Develop and enhance inference capabilities, improving scalability and efficiency of ML platforms
Requirements
- Minimum of 5 years experience as a Machine Learning Engineer, Applied Scientist, or similar role.
- Bachelor's degree (BS) or Master's degree (MS) in Computer Science or another quantitative field.
- Strong proficiency in one or more common programming languages such as Python, Java, C++, or Golang.
- Proficiency with common ML tools and frameworks such as PyTorch, TensorFlow, or Spark.
- A working understanding of the algorithms used in machine learning applications.
- Proven experience with the end-to-end development of machine learning applications.
- Experience leading a small cross-functional team to deliver new ML experiences (preferred but not explicitly mandatory).
- Experience building zero-to-one ML applications (preferred but not explicitly mandatory).
Benefits & Perks
Competitive total compensation package including base salary, bonus, and stock options (RSUs)
Remote and flexible working arrangements
Health benefits
Opportunities for career growth and learning
Inclusive work environment with accommodations for disabilities
Ready to Apply?
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