Staff Machine Learning Engineer

California

  Machine Learning

Permanent

Our client is on a mission to transform the life insurance industry. Through the use of state-of-the-art technology, they have streamlined the cumbersome months-long application process into mere minutes, delivering instant decisions and extending coverage to billions of dollars. 

They are hiring a Staff Machine Learning Engineer to play a crucial role in spearheading the development and implementation of cutting-edge machine learning models. The successful candidate will be instrumental in shaping the trajectory of the life insurance sector, addressing intricate challenges with inventive solutions.

Responsibilities:

  • As the Staff Machine Learning Engineer, you will take charge of one of the company’s ML teams, establishing strategic direction and project objectives.

  • You will be responsible to tackle intricate production performance and evaluation challenges.

  • Assess technical designs and contribute to team-wide strategies.

  • Work closely with cross-functional collaborators to devise machine learning solutions.

  • Guide and mentor engineers, offering constructive feedback and support.

  • Stay updated on the latest ML research and trends.

Skillset:

  • Master’s degree or PhD in Computer Science or related field.

  • At least six years of machine learning engineering experience.

  • Proficient in one or more programming languages eg. Python, with a solid understanding of data structures and algorithms.

  • Demonstrated leadership in technical roles and ownership of projects.

  • Full-stack development experience, with a preference for exposure to front-end frameworks.

  • Skills in Clojurescript, React, GraphQL, Clojure and JVM.

  • Knowledge of Kafka, Docker, Kubernetes, Packer, Terraform, AWS, BigQuery, Tableau and BEAM.

  • Experience in regulated environments such as healthcare, finance or insurance is an advantage.

Benefits:

  • Salary: $170k – $200k DOE.

  • Competitive medical, dental and vision coverage.

  • Stock options and 401k match program.

  • Wellness reimbursement program.

  • Paid parental leave and support for working from home.

Interested? Apply now in the link below or email your resume directly to angelo@alldus.com for consideration.

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