Staff Machine Learning Engineer
7 days ago
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. Our mission is to make a better world of work, and we're looking for talented individuals to join our team.
About the Role
We're seeking a Staff Machine Learning Engineer to help us accelerate our capability in building and enhancing machine learning platform that is powered by AI, LLMs. As part of the MLP (Machine Learning Platform) team, you'll work with data scientists and other engineers to provide a central LLM gateway that enables product teams across Culture Amp to leverage the power of Gen AI to build impactful features. The LLM gateway provides governance, centralized logging and auditing, safe and responsible AI usage, monitoring and evaluating AI models, and mitigating prompt injections.
Key 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, to build shared understanding of your work
* 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 support leadership to define long term technical vision for the team
Requirements
* Passionate about machine learning, AI (particularly Generative AI), LLMs
* Advocate of sensible, ethical, and responsible use of AI
* Able to influence others without authority, working collaboratively with diverse engineers and cross-functional teams
* A proactive and clear communicator. You value empathy and kindness and are able to articulate your ideas and feelings when writing or speaking, and are open to the perspectives others bring
* Self-motivated and can work independently. You take the initiative to ensure that you have everything you need to work efficiently and call for support when required
What We Offer
* 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 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)
About Our Culture
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. You will be surrounded by talented engineers, learning from others, as well as sharing your knowledge with them as well.
Why Join Us?
We're a company that truly cares about its people and the impact we make. We're committed to creating a better world of work, and we're looking for talented individuals to join our team. If you're passionate about machine learning, AI, and LLMs, and you're looking for a challenging and rewarding role, we'd love to hear from you.
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