Staff Machine Learning Engineer Sydney

Culture Amp
uk
10 months ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Engineer (Manager)

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 6,500companies create a better world of work. Culture Amp empowerscompanies of all sizes and industries to transform employeeengagement, drive performance management, and develophigh-performing teams. Powered by people science and the mostcomprehensive employee dataset in the world, the most innovativecompanies including Canva, On, Asana, Dolby, McDonalds and Nasdaqdepend on Culture Amp every day. Culture Amp is backed by leadingventure capital funds and has offices in the US, UK, Germany andAustralia. Culture Amp has been recognized as one of the world’stop private cloud companies by Forbes and most innovative companiesby Fast Company. How you can help make a better world of work Weare looking for a Staff Machine Learning Engineer to join our Coachteam. Our team sits within the Core Experiences Camp, and isbuilding a new and exciting AI product, whilst helping grow the AIcapabilities and expertise throughout the organisation. As part ofthis team of amazing humans, You Will: - Build, deploy, andmaintain high-performance machine learning models to powerAI-driven products. - Design and operate large-scale ML systems,including LLM gateways, batch inference pipelines, and RAG-poweredapplications. - Drive MLOps and LLMOps best practices across theorganization, ensuring scalability, reliability, and efficiency. -Lead the development of custom LLM architectures, pre-trainingstrategies, and cost optimization techniques. - Build and optimizedata pipelines using Kafka to handle large-scale data processingfor AI applications. - Implement and fine-tune vector databases forfast search, retrieval, and AI-driven insights. - Define and upholdSLAs, SLOs, and incident response strategies for ML services. -Collaborate with engineers, product managers, and data scientiststo deliver impactful AI solutions while mentoring and supportingthe team. You Have - Expertise in Python and are proficient with MLlibraries and frameworks. - Experience with working in data lakes,Kafka streams, and managing large datasets at scale. - Experiencewith vector databases and vector search, and know how to optimizethem for AI use cases. - Extensive experience in databaseoptimization, both in terms of query performance and efficient datastorage for AI applications. - Built and deployed machine learningmodels in production, with a focus on performance, scalability, andaccuracy. - A strong understanding of backend architecture,particularly around microservices and cloud platforms (e.g., AWS,GCP) - Experience building, implementing and optimisingRetrieval-Augmented Generation (RAG) models to enhance AIapplications. - A “can-do” attitude, thrive in high-pressureenvironments, and communicate clearly and proactively with bothtechnical and non-technical stakeholders. You Are - Self-motivatedand able to work independently, comfortable dealing with ambiguitywhen necessary. You take the initiative to ensure that you haveeverything you need to work effectively and ask for support whenrequired. - A driver of technical excellence in a team environment.You’re an expert in your domain and are able to develop theexpertise and knowledge of those around you. - Someone who lovescollaboration - our teams are cross functional and you’ll beworking with other engineers, team leads and product managers todeliver great outcomes together. - Aligned with our values, checkthem out here:https://www.cultureamp.com/company#valuesanddemonstrate them through your working practice. We believe that ouremployees are the heartbeat of our success. We're committed tofostering a work environment that truly cares for and develops itspeople, and creates lasting positive impact. In addition toproviding a competitive compensation package, some of the keybenefits we offer are: - Employee Share Options Program: We empoweryou to be an owner in Culture Amp and share in our success -Programs, coaching, and budgets to help you thrive personally andprofessionally - Access to external providers for mental wellbeingand coaching support to sustain the wellbeing, safety anddevelopment of our people - Monthly Camper Life Allowance: Anautomatic allowance paid out each month with your pay - you canspend it however you like to help improve your experience and lifeoutside work - Team budgets dedicated to team building activitiesand connection - Intentional quarterly wellbeing pauses: Aquarterly company-wide shutdown day in each region to collectivelypause, reset and focus on restoration and rest, without having totap into individual vacation time - Extended year-end breaks: Anextended refresh period at the end of year - Excellent parentalleave and in work support program available from day 1 of joiningCulture Amp - 5 Social Impact Days a year to make a positive impacton the community outside of work - MacBooks for you to do your best& a work from home office budget to spend on setting up yourhome office - Medical insurance coverage for you and your family(Available for US & UK only) Additionally, we don't just focuson our internal community; we believe in creating a better world ofwork for all. We're committed to diversity, equity, and inclusion,with Employee Resource Groups and ally communities in place. Wehave a strong commitment to Anti-Racism, and endeavor to lead byexample. Every step we make as a business towards anti-racism isanother step we can take to support our customers in making abetter world (of work). You can see our current commitments toAnti-Racism here. Please keep reading... Research shows thatcandidates from underrepresented backgrounds often don't apply forroles if they don't meet all the criteria – unlike majoritycandidates meeting significantly fewer requirements. We stronglyencourage you to apply if you’re interested: we'd love to know howyou can amplify our team with your unique experience! Thank you fortaking the time to read this advert. If you decide to apply, aspart of your application, we will ask you to complete voluntarydiversity questions (excluding Germany). Please watch this videofrom our amazing DEI Leader, Aubrey Blanche to share more on why wecollect the data and how we will use it. If you require reasonableaccommodations or adjustmentsdue to a disabilityto complete theonline application or to participate in the interview process,please contact identify the typeof accommodation or assistance you are requesting. Do not includeany medical or health information in this email. The ReasonableAccommodations team will respond to your email promptly. Apply forthis job * indicates a required field First Name * Last Name *Preferred First Name Email * Phone * Resume/CV * Enter manuallyAccepted file types: pdf, doc, docx, txt, rtf Enter manuallyAccepted file types: pdf, doc, docx, txt, rtf LinkedIn ProfileWebsite Location (Please note this role can only be based inMelbourne or Sydney, Australia)? * Do you now, or will you in thefuture, require visa sponsorship to work at Culture Amp inAustralia? * #J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.