Teamwork makes the stream work.
the company is changing how the world watches TV
the company is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. the company pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at the company, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
What does the team work on?
the company is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ million active accounts. the company pioneered streaming to the TV and continues to innovate and lead the industry. The depth of query, content, and user understanding using ML is key to user happiness on the search and discovery journey, and this team owns the models that power it across the the company platform.
What is the role?
The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-of-class AI-powered products. Communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you'll look at what exists and find ways to make it better.
How will I use AI at the company?
At the company, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact.
We value
your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools.



You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.
What are the responsibilities of the role?
Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform
Run online AB tests and analyse them against the critical business KPIs
Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
Provide technical leadership to drive technical and ML roadmap for search ranking and monetisation
Help in recruiting new engineers. Interview, train, and mentor new team members
What experience would help someone be successful in this role at the company?
8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads
Strong CS fundamentals. Should be able to convert ideas to code with ease
Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus
We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)
Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc.
Demonstrated AI/agentic-tooling fluency per the section above
MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred
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What's the company's approach to hybrid working?
the company fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally adaptable for work from home, except for employees whose specific roles or assigned office location require five days' a week attendance.
What are some of the benefits?




the company is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's significant to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
the company welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to
What should I know about the company's culture?
the company is a great place for people who want to work in a quick-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at the company you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since ****.
To learn more about the company, our global footprint, and how we've grown, visit .
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📌 Senior Machine Learning Engineer, Search & Recommendations (Western Australia)
🏢 United States Digital Space
📍 Western Australia