Top Machine Learning Jobs in Reno, NV

The Senior Machine Learning Engineer will develop and deploy ML models for personalizing user experiences and optimizing content discovery, driving significant revenue growth.

Lead the design, deployment, and scaling of machine learning systems for real-time user recommendations, improving engagement and revenue at scale.

The Lead ML Engineer will design and deploy complex ML systems to optimize ad performance, working with global teams to enhance user engagement and drive revenue.

As a Machine Learning Engineer, you will design, build, and optimize ML models for ad ranking, bidding, and measurements, ensuring effectiveness across Reddit's advertising solutions.

Lead the architecture and development of Reddit's ML Feature Platform, overseeing real-time feature store design, team mentorship, and infrastructure optimization.

As a Senior Machine Learning Engineer, you will design, implement, and optimize ML models for ad ranking and bidding, driving value for Reddit's advertisers.

As a Software Engineer for ML Feature Platform at Reddit, you'll architect and maintain infrastructure for ML features affecting user engagement. Responsibilities include working with large-scale systems, coding in Python, Scala, and Golang, and utilizing Kubernetes and big data technologies.

Develop scalable processes and algorithms for information retrieval and machine learning techniques. Collaborate with teams to improve systems for processing Yahoo mail data.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

The Lead Product Manager will define and execute product strategy for Machine Learning at ClassPass, collaborating with teams to enhance business through ML applications. Responsibilities include managing product roadmap, analyzing data products, and coordinating with cross-functional teams for successful rollouts.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.

Lead machine learning platform strategy, scale ML infrastructure, mentor engineers, and drive cross-functional initiatives to enhance product features.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.