Staff Machine Learning Engineer
Culture Amp
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See open jobs at Culture Amp.See open jobs similar to "Staff Machine Learning Engineer" My Startup Gig.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 capital venture 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 create a better work of work
We are searching for a Staff ML Engineer to help us accelerate our capability in building and enhancing machine learning platform that is powered by AI, LLMs. Culture Amp has partnered with Google to use their Vertex AI platform. 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. LLM gateway provides governance, centralized logging and auditing, safe and responsible AI usage, monitoring and evaluating AI models, and mitigating prompt injections.
Team MLP is helping Culture Amp product teams to build features like in-context summarisation, large volume text summarisation, bias detection, sensitive comments detection, etc. You will work closely with cross-functional teams to understand business needs and translate them into technical solutions.
Engineering at Culture Amp is 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.
In part of this team of amazing humans,
You will:
- 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
You are:
- 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
You have:
- 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)
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 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.
This job is no longer accepting applications
See open jobs at Culture Amp.See open jobs similar to "Staff Machine Learning Engineer" My Startup Gig.