Staff Machine Learning Engineer Melbourne

Culture Amp
united kingdom
3 weeks ago
Create job alert

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.

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:Culture Amp Valuesand 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 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 adjustmentsdue to a disabilityto complete the online application or to participate in the interview process, please contactand 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.

Apply for this job

* indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Website

Location (Please note this role can only be based in Melbourne or Sydney, Australia)? *

Do you now, or will you in the future, require visa sponsorship to work at Culture Amp in Australia? * Select...

Global Diversity Questions

At Culture Amp, we are incredibly proud of how our platform helps companies measure aspects of diversity and inclusion; particularly aspects beyond race and gender. When it comes to measuring diversity for ourselves, we are leading the charge in helping companies think about building balanced teams.

To get a comprehensive understanding of our pipeline, we invite all applicants to fill out these demographic questions. Completion of this form is entirely voluntary and declining to provide this information will not subject you to adverse treatment.

By providing answers in the following questionnaire you consent to Culture Amp using your anonymised demographic information for internal research and trend analysis. Culture Amp will retain your CV for a period of two years (four years for the US) from the date of your application process completion and may contact you in relation to future job opportunities.

Culture Amp is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, colour, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law.

Thank you and good luck with your application.

#J-18808-Ljbffr

Related Jobs

View all jobs

Staff Machine Learning Engineer, Anomaly Detection

Staff Machine Learning Engineer (NLP, LLMs) - new PurpleAI product

Senior/Staff Machine Learning Engineer

Senior/Staff Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.