Staff Machine Learning Engineer Sydney

Culture Amp
uk
2 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 6,500companies 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

Related Jobs

View all jobs

Staff Machine Learning Engineer

Staff Machine Learning Engineer

Staff Machine Learning Engineer, Anomaly Detection

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

Senior/Staff Machine Learning Engineer

Staff Machine Learning Architect - Assembly Coding and Performance 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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

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.