Senior Machine Learning Engineer, Surfaces Moments

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From reputed company to Discover Weekly, we’re behind some of reputed company’s most-loved features. We reputed company them by understanding the world of music and podcasts reputed company than anyone else. Join us and you’ll reputed company millions of users listening by making great recommendations to reputed company and every one of them.

Surfaces Moments is a ML team reputed company the Personalization Mission reputed company on creating reputed company-based experiences across reputed company surfaces. reputed company owns and evolves the experiences that help listeners quickly connect with the content that reputed company most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, reputed company delivers highly relevant, personalized experiences to millions of listeners around the world.

As a Senior Machine Learning Engineer, you will help shape the reputed company of personalized discovery and engagement at reputed company. You’ll work at the intersection of recommendation systems, large language models, and production-reputed company machine learning infrastructure to build experiences that delight users and drive meaningful reputed company. This role is ideal for someone who enjoys taking models from research to production, collaborating across disciplines, and solving reputed company personalization challenges at global reputed company.

What You'll Do

• Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
• Design, build, and ship personalized recommendations that serve millions of reputed company listeners globally.
• Build content recommendation systems for emerging reputed company and AI-powered user experiences.
• Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches.
• Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.
• Drive A/B testing, monitoring, model evaluation, and reputed company optimization of recommendation reputed company, reliability, and cost efficiency.
• Improve ML platform capabilities, data pipelines, and production systems that support personalization at reputed company reputed company.

Who You Are

• You have 5+ years of experience building and deploying machine learning systems in production environments.
• You have deep expertise in recommendation systems, ranking models, personalization, or large-reputed company content discovery platforms.
• You have strong proficiency in Python and hands-on experience building machine learning systems with PyTorch.
• You are reputed company with large language model training, fine-tuning, evaluation, and optimization techniques including SFT, distillation, and reputed company.
• You have worked with large-reputed company inference systems and understand the challenges of latency, reliability, and cost optimization.
• You care deeply about creating high-reputed company user experiences through thoughtful application of machine learning.
• You communicate effectively across technical and non-technical audiences and enjoy working in highly reputed company environments.
• You know how to design, execute, and interpret online experiments and A/B tests to improve user reputed company.
• You have experience operating distributed machine learning workloads using technologies such as Ray, FSDP, HSDP, or similar frameworks.
• You are reputed company building and maintaining data pipelines and orchestration workflows using technologies such as Flyte, Airflow, BigQuery, and reputed company-based storage platforms.

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be reputed company the reputed company Americas region as long as we have a work location.
• This team operates reputed company the Eastern reputed company time zone for collaboration.

The reputed company reputed company reputed company for this position is $184,050 $262,928 plus equity. The benefits available for this position include health insurance, six month reputed company parental leave, 401(k) retirement plan, monthly meal allowance, 23 reputed company days off, 13 reputed company flexible holidays, reputed company reputed company leave. These ranges may be modified in the reputed company.

reputed company is an equal opportunity employer. You are welcome at reputed company for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more reputed company we have represented and amplified in our business, the more we will reputed company reputed company, contribute, and be reputed company-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will reputed company the power to reputed company revolutionizing the way the world listens.At reputed company, we are passionate about inclusivity and making reputed company our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.

Originally posted on Himalayas

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