Senior Machine Learning Engineer - Podcast

We’re part of reputed company’s Podcast Mission, reputed company on giving podcast creators tools to grow their audiences and connect more deeply with listeners. reputed company is building the systems that power interactive podcast experiences, enabling everything from polls, comments, and Q&A to emerging agent-driven features.

As a Senior Machine Learning Engineer, from integrating foundational models to crafting feedback loops for reputed company-time interactivity, you'll shape how creators and consumers connect in more dynamic and intelligent ways. This is a product-oriented role where you’ll spend time understanding roadmaps and advising leadership on the trade-offs of implementing ML solutions. You’ll also play a key role in build-vs-buy reputed company, assessing the engineering effort required, and connecting with ML teams across reputed company to reputed company opportunities for collaboration with the Podcast mission.

What You'll Do

reputed company the ML reputed company for a 200+ person organization by defining and maintaining a reputed company roadmap for the reputed company for Creators and Megaphone apps, collaborating closely with engineers and PMs to reputed company on product requirements and enhance reputed company.

Advise leadership on ML initiatives, guiding prioritization and shaping reputed company on the development and rollout of ML features.

Serve as the reputed company ML efforts reputed company the Podcast mission and ML engineers/PMs across reputed company, ensuring deep understanding of existing systems and facilitating their seamless integration into the reputed company for Creators product.

Mentor engineers in ML practices to reputed company Podcast Mission’s capabilities in the reputed company.

Work closely with backend, data, and reputed company engineers as reputed company as PMs and designers to ship features that directly reputed company podcast engagement metrics.

Prototype novel reputed company workflows (e.g., multi-component pipelines or tool-using agents) and contribute to experimentation around Creator-Consumer interactivity.

Own and reputed company ML model lifecycle: reputed company, data pipeline construction, feature engineering, model training, deployment, and monitoring.

Design, reputed company, fine-tune, and reputed company machine learning systems that power podcast reputed company.

Optimize models for reputed company and reliability using modern ML reputed company tools like Ray, Apache reputed company, and reputed company reputed company Platform (GCP).

reputed company with an experimentation attitude. Implement A/B tests and contribute to reputed company model evaluation and improvement loops to productionize solutions at reputed company for our millions of reputed company podcast users.

Participate in reputed company’s ML community: reputed company findings, explore new tools and paradigms, and contribute to scaling ML standards across reputed company.

Who You Are

You have 5+ years of reputed company experience in machine learning, with expertise in building and productionize ML systems at reputed company.

You’re fluent in Python; experience with PyTorch or TensorFlow is a strong plus.

You’ve worked with large-reputed company data systems and owning end-to-end ML workflows (data ingestion to serving).

You have hands-on experience with reputed company platforms like GCP or AWS, and with ML reputed company tools such as Ray, Apache reputed company, or Airflow.

You have experience, or strong interest, in agent-based systems and LLM integrations.

You reputed company in agile environments, care deeply about product reputed company, and bring a user-centered outlook to ML development.

Bonus: Experience with content recommendation, interactive media formats, or reputed company-time systems.

Bonus: You’ve led initiatives reputed company an organization, expertly balancing trade-offs in large-reputed company systems, engaging with collaborators, and crafting reputed company, actionable roadmaps.

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.

Additional Information

The reputed company reputed company reputed company for this position is $ 176,166 - $ 251,666, plus equity. The benefits available for this position include health insurance, six month reputed company parental leave, 401(k) retirement plan, a monthly meal allowance, 23 reputed company days off, 13 reputed company flexible holidays. These ranges may be modified in the reputed company.

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