Staff Machine Learning Engineer
1 month ago
Culture Amp is the world's leading employee experience platform, revolutionizing how companies create a better world of work. Our mission is to empower organizations to transform employee engagement, drive performance management, and develop high-performing teams.
Job DescriptionWe're seeking a highly skilled Staff Machine Learning Engineer to join our Machine Learning Platform (MLP) team. As a key member of this team, you'll work closely with data scientists and engineers to build and enhance our machine learning platform powered by AI and Large Language Models (LLMs). Our platform is built on Google's Vertex AI, and we're looking for someone to help us accelerate our capabilities in this area.
As a Staff Machine Learning Engineer, you'll be responsible for designing, developing, and deploying machine learning models and pipelines that enable our product teams to leverage the power of Gen AI. You'll work on tasks such as data labeling, fine-tuning models, evaluation, CI/CD, deployment, versioning, monitoring, and mitigating prompt injections. You'll also collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
Responsibilities- Participate in code reviews, architecture discussions, and contribute to best practices in ML engineering
- Collaborate and guide other engineers in your team 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 our products
- Play a huge role in coaching and uplifting other engineers in the team
- Play a tech lead role for the team and work with leadership to define long-term technical vision for the team
- Python software engineering expertise
- Experience with various stages of the ML lifecycle and MLOps: data labeling, fine-tuning models, evaluation, CI/CD, deployment, versioning, monitoring, etc.
- 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)
- Employee Share Options Program: We empower you to be an owner in Culture Amp and share in our success
- Programs, coaching, and budgets to help you thrive personally and professionally
- Access to external providers for mental wellbeing and coaching support to sustain the wellbeing, safety, and development of our people
- Monthly Camper Life Allowance: An automatic allowance paid out each month with your pay - you can spend it however you like to help improve your experience and life outside work
- Team budgets dedicated to team building activities and connection
- Intentional quarterly wellbeing pauses: A quarterly company-wide shutdown day in each region to collectively pause, reset, and focus on restoration and rest, without having to tap into individual vacation time
- Extended year-end breaks: An extended refresh period at the end of year
- Excellent parental leave and in-work support program available from day 1 of joining Culture Amp
- 5 Social Impact Days a year to make a positive impact on the community outside of work
- MacBooks for you to do your best & a work from home office budget to spend on setting up your home office
- Medical insurance coverage for you and your family (Available for US & UK only)
We believe that our employees are the heartbeat of our success. We're committed to fostering a work environment that truly cares for and develops its people, and creates lasting positive impact. We're an inclusive practice distributed across cross-functional, lightweight Agile teams, which are remote-friendly, and all of which embrace flexible work arrangements.
We're committed to diversity, equity, and inclusion, with Employee Resource Groups and ally communities in place. We have a strong commitment to Anti-Racism, and endeavor to lead by example. Every step we make as a business towards anti-racism is another step we can take to support our customers in making a better world (of work). You can see our current commitments to Anti-Racism here.
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