Machine Learning Jobs in Berkeley, CA

As a Staff Software Engineer in AI, you will design and develop AI solutions to enhance member financial experiences, guide architecture, mentor engineers, and drive initiatives from concept to completion.

The Principal Machine Learning Engineer will drive the technical roadmap for personalized video recommendations, design and scale ML architectures, and collaborate on strategies enhancing content relevance.

Lead the Privacy Engineering team at Snap Inc., overseeing privacy initiatives, data governance, and regulatory compliance while aligning with business goals.

Interns will develop and deploy Machine Learning models, drive research projects, and collaborate with senior engineers for real-world applications.

The Product Manager will optimize ad marketplace experiences, develop new products, manage a long-term roadmap, and collaborate with cross-functional teams.

As a Senior Technical Product Manager, you will lead product strategy for the internal developer platform, enhancing developer productivity and collaboration while ensuring security compliance.

As a Staff Data Scientist at IAS, you'll lead innovative research for fraud detection, improve IVT capabilities, develop automated systems, mentor juniors, and collaborate with engineers to integrate solutions into workflows.

Lead the founding AI research engineering team, driving AI initiatives, translating research into scalable systems, mentoring, and integrating AI into products.

Lead Cyber Security Operations as a Principal Engineer, overseeing incident response and security strategies. Engage with executive leadership and external entities to address complex cyber threats using machine learning and data analytics.

The Principal Engineer will lead cybersecurity operations, focusing on incident response and strategy, engaging with teams and executives to enhance security and efficiency using technologies like machine learning.

Lead the cyber security operations by overseeing incident response, threat detection, and mitigation strategies. Consult with executives to align technical solutions with business priorities, implement machine learning for efficiency, and guide teams in resolving complex cyber security challenges.

The Principal Engineer leads cyber security operations, drives incident response strategies, and engages with stakeholders while overseeing complex security challenges and developing innovative solutions.

This role involves leading cybersecurity operations, overseeing incident response, threat detection, and automation implementation, while advising leadership on security strategies and solutions.

The role involves leading cybersecurity strategy and oversight for incidents, advanced threat detection, automation, and collaboration with various teams and external entities.

The Principal Engineer will lead cybersecurity operations, focusing on incident response, threat detection, and providing strategic guidance to enhance security measures. Responsibilities include automation development, engaging with executive leadership, and addressing complex cybersecurity challenges.

The Senior Machine Learning Engineer will develop value prediction systems, collaborate with stakeholders, and enhance model accuracy using various ML techniques.

Lead innovation in predictive modeling, design ML solutions, collaborate with stakeholders, and enhance value measurement systems to drive Block's growth.

Lead and develop a team to investigate and mitigate fraud risks, collaborating with various departments to improve controls and processes. Drive innovation in risk management through analytical skills and machine learning model enhancement.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

The Senior Product Marketing Manager will develop an AI messaging framework, lead sales enablement, conduct research, and create thought leadership content.

Lead a team to improve AI Meeting Notes product, focusing on engineering management, collaboration with cross-functional teams, and ensuring quality and value delivery.

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

Lead advanced cyber security operations, focus on incident response and threat mitigation. Strategize and provide oversight in technology implementation, engaging with executives and multiple teams.

The Principal Engineer leads advanced cyber security incident response and threat detection initiatives, providing strategic guidance and innovative solutions across multiple teams and interacting with executives and external entities.