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Staff Machine Learning Engineer

Culture Amp is the world's leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work.
Machine Learning
Staff Software Engineer
Hybrid
1,000 - 5,000 Employees
AI · Enterprise SaaS
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Description For Staff Machine Learning Engineer

Culture Amp, the world's leading employee experience platform, is seeking a Staff Machine Learning Engineer to accelerate their capability in building and enhancing an AI-powered machine learning platform. As part of the Machine Learning Platform (MLP) team, you'll work with data scientists and engineers to provide a central LLM gateway, enabling product teams across Culture Amp to leverage Gen AI for impactful features.

Key Responsibilities:

  • Participate in code reviews, architecture discussions, and contribute to ML engineering best practices
  • Collaborate with and guide other engineers through pair/mob programming and solution designs
  • Stay updated with the latest ML and AI technologies, integrating them into products
  • Coach and uplift other engineers in the team
  • Play a tech lead role and support leadership in defining long-term technical vision

Requirements:

  • Python software engineering expertise
  • Experience with ML lifecycle and MLOps
  • Familiarity with ML libraries (e.g., TensorFlow, PyTorch, HuggingFace)
  • Understanding of transformer architectures and LLMs
  • Experience with AI, machine learning, LLMs, and NLP
  • Experience with cloud platforms (e.g., AWS, GCP)

Culture Amp offers a competitive compensation package and benefits including:

  • Employee Share Options Program
  • Professional development programs and coaching
  • Mental wellbeing and coaching support
  • Monthly Camper Life Allowance
  • Team building activities
  • Quarterly wellbeing pauses and extended year-end breaks
  • Excellent parental leave
  • 5 Social Impact Days per year
  • MacBooks and work from home office budget

Culture Amp is committed to diversity, equity, and inclusion, with a strong focus on Anti-Racism. They encourage candidates from underrepresented backgrounds to apply, even if they don't meet all criteria.

Join Culture Amp in their mission to create a better world of work, leveraging cutting-edge AI and machine learning technologies to revolutionize employee experiences across global companies.

Last updated 10 months ago

Responsibilities For Staff Machine Learning Engineer

  • Participate in code reviews, architecture discussions, and contribute to best practices in ML engineering
  • Collaborate and guide other engineers through pair/mob programming, writing solution designs, or giving feedback on pull requests
  • Stay up-to-date with the latest advancements in machine learning and AI technologies and integrate them into products
  • Play a huge role in coaching and uplifting other engineers in the team
  • Play a tech lead role for the team and work support leadership to define long term technical vision for the team

Requirements For Staff Machine Learning Engineer

Python
  • Python software engineering expertise
  • Experience with ML lifecycle and MLOps
  • Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, HuggingFace)
  • Understanding of transformer architectures and LLMs
  • Experience working with AI, machine learning, LLMs and NLP
  • Experience working with cloud platforms and infrastructure (e.g. AWS, GCP)

Benefits For Staff Machine Learning Engineer

Equity
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
  • Employee Share Options Program
  • Programs, coaching, and budgets for personal and professional development
  • Access to external providers for mental wellbeing and coaching support
  • Monthly Camper Life Allowance
  • Team budgets for team building activities
  • Quarterly wellbeing pauses
  • Extended year-end breaks
  • Excellent parental leave program
  • 5 Social Impact Days a year
  • MacBooks and work from home office budget
  • Medical insurance coverage for you and your family (US & UK only)

Interested in this job?