Hybrid Senior Software Engineer, ML

Posted 2 weeks ago

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About the role

  • Strategy: using your experience and understanding of how ML and NLP features are built to achieve state of the art results in real products, you will generate data-driven insights on how to evolve capabilities of Relyance AI.
  • Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.; or the Relyance backend.
  • Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to incorporate state of the art NLP and ML techniques; continuously look for opportunities to automate and build tools to lower operational barriers.
  • Being a key member of the team solving its most complex problems with the simple, pragmatic solutions.

Requirements

  • 7+ years of experience with a track record of being a key member of teams building ML and NLP solutions.
  • Expert level proficiency in languages like Python, Java, C#, C++, Scala, etc.
  • Strong data structures, algorithms, and OO software design and implementation skills.
  • Ability to learn and operate across full stack, from ML and NLP systems, to cloud infrastructure, and AI backend.
  • Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible solutions.
  • A “get stuff done” attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment.
  • A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems.
  • Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

Job title

Senior Software Engineer, ML

Job type

Experience level

Senior

Salary

$155,000 - $175,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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