Top Machine Learning Jobs in Sacramento, CA

The role involves managing technology solutions, mentoring teams, and building client relationships while delivering innovative AI and GenAI technologies.

The Senior Data Scientist will optimize product performance through data analysis, collaborate with teams to provide insights, and support product initiatives.

Lead and grow an engineering team to optimize borrower experiences, partnering with multiple departments to drive data-driven decisions and experimentation.

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.

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

The GVP, Strategic Sales - East leads the east strategic sales team, managing 32 sales professionals, overseeing business processes, and enhancing customer relationships to drive sales growth.

The Director of Engineering, Data Platform will define Liftoff's data engineering strategy, lead teams in building scalable data infrastructures, and collaborate with R&D and product leaders for high-quality delivery and innovation.

The Head of Design will lead design efforts for Square's Financial Suite, focusing on product experience, automation, and team mentorship while integrating financial management tools for small businesses.

Lead Compa's Applied AI team, overseeing ML projects and initiatives. Collaborate cross-functionally and ensure delivery of production-grade AI systems.

The Sr. Product Designer will create user-centered mobile experiences for AI-supported mental health therapy. Responsibilities include designing workflows, collaborating with teams, and utilizing strong design skills in mobile applications.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

As Product Manager for Complaints, you will lead complaint management strategy, drive team collaboration, oversee product development, and ensure regulatory compliance across Block's businesses.

Manage advanced data analytics for credit strategies, optimize risk models, mentor a team, and oversee project completion in a remote-first environment.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

Lead the Security & Risk department, overseeing cybersecurity and fraud prevention while implementing security automation and tools for innovation. Manage a skilled team, foster partnerships, and ensure physical security for employees and operations.

The Senior Clinical Informaticist will bridge clinical expertise with data science, collaborating on digital health solutions, overseeing data integrity, and mentoring a team.

Analyze large data sets to identify trends and fraudulent behaviors, collaborating across teams to drive risk management innovations.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

The AI Business Analyst will optimize Dropbox's support systems for AI innovation by analyzing performance, guiding projects, and improving efficiency and customer outcomes through data-driven recommendations.

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

Lead the transformation of finance technology, focusing on architecture, strategy, and innovative AI-driven solutions to optimize financial processes.