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Staff Machine Learning Engineer
role at
Culture Amp
1 week ago Be among the first 25 applicants
Join to apply for the
Staff Machine Learning Engineer
role at
Culture Amp
Join us on our mission to make a better world of work.
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. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day.
Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world’s top private cloud companies by Forbes and most innovative companies by Fast Company.
For more information visit cultureamp.com.
How you can help make a better world of work
We are looking for a Staff Machine Learning Engineer to join our Coach team. Our team sits within the Core Experiences Camp, and is building a new and exciting AI product, whilst helping grow the AI capabilities and expertise throughout the organisation.
As part of this team of amazing humans,
You Will:
Build, deploy, and maintain high-performance machine learning models to power AI-driven products.
Design and operate large-scale ML systems, including LLM gateways, batch inference pipelines, and RAG-powered applications.
Drive MLOps and LLMOps best practices across the organization, ensuring scalability, reliability, and efficiency.
Lead the development of custom LLM architectures, pre-training strategies, and cost optimization techniques.
Build and optimize data pipelines using Kafka to handle large-scale data processing for AI applications.
Implement and fine-tune vector databases for fast search, retrieval, and AI-driven insights.
Define and uphold SLAs, SLOs, and incident response strategies for ML services.
Collaborate with engineers, product managers, and data scientists to deliver impactful AI solutions while mentoring and supporting the team.
You Have
Expertise in Python and are proficient with ML libraries and frameworks.
Experience with working in data lakes, Kafka streams, and managing large datasets at scale.
Experience with vector databases and vector search, and know how to optimize them for AI use cases.
Extensive experience in database optimization, both in terms of query performance and efficient data storage for AI applications.
Built and deployed machine learning models in production, with a focus on performance, scalability, and accuracy.
A strong understanding of backend architecture, particularly around microservices and cloud platforms (e.g., AWS, GCP)
Experience building, implementing and optimising Retrieval-Augmented Generation (RAG) models to enhance AI applications.
A “can-do” attitude, thrive in high-pressure environments, and communicate clearly and proactively with both technical and non-technical stakeholders.
You Are
Self-motivated and able to work independently, comfortable dealing with ambiguity when necessary. You take the initiative to ensure that you have everything you need to work effectively and ask for support when required.
A driver of technical excellence in a team environment. You’re an expert in your domain and are able to develop the expertise and knowledge of those around you.
Someone who loves collaboration - our teams are cross functional and you’ll be working with other engineers, team leads and product managers to deliver great outcomes together.
Aligned with our values, check them out here: and demonstrate them through your working practice.
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. In addition to providing a competitive compensation package, some of the key benefits we offer are:
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)
Additionally, we don't just focus on our internal community; we believe in creating a better world of work for all. 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.
Please keep reading...
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements.
We strongly encourage you to apply if you’re interested: we'd love to know how you can amplify our team with your unique experience!
Thank you for taking the time to read this advert. If you decide to apply, as part of your application, we will ask you to complete voluntary diversity questions (excluding Germany). Please watch this video from our amazing DEI Leader, Aubrey Blanche to share more on why we collect the data and how we will use it.
If you require reasonable accommodations or adjustments
due to a disability
to complete the online application or to participate in the interview process, please contact accommodations@cultureamp. com
and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Culture Amp will retain your CV & personal information for a period of two years (four years for the US) from the date of your application process completion. Culture Amp may contact you in relation to future job opportunities during this time period. For further information please see our privacy policy here or contact privacy@cultureamp.com.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Software Development
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