Senior Machine Learning Engineer - AI Research & Experience at Culture Amp

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Systems, Full Stack Development, Python, React, Data Pipelines, Technical Writing, Software Engineering, LLM Application Development, Context Engineering, Pragmatic Mindset, Evaluation Frameworks, Speech-to-Text, Text-to-Speech, GraphRAG, Knowledge Graphs

Industry

Software Development

Description

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're looking for a Senior Engineer to join the AI Research & Experience team, helping build AI Coach - Culture Amp's contextually-aware AI system that integrates survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale. You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems. What you'll do Staying up to date with current research, literature and provider offerings. Design, implement and evaluate areas and features of our multi-agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi-turn coaching conversations. Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent coaching context Translate customer requirements into technical solutions - working backwards from user needs to system design. Creating technical documentation to support literacy, technical transfer and engineering practice. Partner closely with product, design, and people science to ensure the features developed are fit for purpose, and in-line with the existing product expectations to ensure seamless partnership transfer of technology. Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness Build cutting-edge, working prototypes, integrated into our environments which validate new approaches and accelerate learning. What we're looking for Must Haves: Proven commercial experience taking ML/AI systems to production. Strong technical writer and communicator Full stack software development experience, ideally Python, React, PGVector Strong software engineering fundamentals - you write clean, tested, maintainable code. You leverage Software development AI tooling effectively. Experience with LLM application development (prompt and context engineering, RAG, agent architectures) Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration A pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?" You fit our values with the proactivity to take risks, and the humility to learn in public. You take pride in your work and its successful utilisation, stability, extendability and maintainability. Strong signals: Experience at startups or founding teams - comfortable with ambiguity and fast iteration Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field Evidence of taking cutting-edge (relevant) techniques from paper to production Experience with evaluation/benchmarking frameworks for AI systems Experience integrating scalable solutions such as advanced Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j) Bonus: Familiarity with people analytics, HR tech, or behavioral science applications Contributions to data ethics, algorithmic fairness, or responsible AI initiatives Open source contributions or public technical writing Why join AIRX You'll work at scale on hard problems that matter - building AI that helps organizations develop their people, improve feedback culture, and foster the conditions for sustainable high performance. Our approach is deeply informed by Culture Amp's people science research. You'll be surrounded by talented and passionate advocates for humanity and cutting edge AI in the world of work. 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! If you decide to apply, as part of your application, we will ask you to complete voluntary diversity questions (excluding roles in Germany). These questions are completely optional, but your participation truly helps. By sharing this anonymous information, you support our efforts to build a more inclusive and equitable hiring process—and help us hold ourselves accountable to that commitment. Your responses are entirely confidential and will not impact hiring decisions. 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.

Responsibilities

The Senior Machine Learning Engineer will design, implement, and evaluate features of a multi-agentic platform for AI coaching. They will also advise on data pipelines and translate customer requirements into technical solutions.