Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

Lead full‑stack development and architecture for Spark’s broker platform. Deliver customer‑facing features, partner with product/design, mentor engineers, resolve technical debt, and set engineering standards while using AI developer tools.

Drive provider acquisition by managing a high-volume pipeline, conducting 5-6+ meetings daily, converting prospects to activated providers, and supporting onboarding using AI-enabled tools while meeting KPI targets and maintaining vetting standards.

Manage end-to-end success for a portfolio of non-enterprise healthcare customers: drive adoption, troubleshoot complex data and platform issues, run trainings and implementations, coordinate cross-functional teams, develop customer roadmaps, and support renewals while ensuring data quality and security compliance.

Build and maintain frontend and backend platform components using Python and TypeScript, support the open-source SDK, collaborate with engineering and AI teams, write tests and CI-friendly code, fix bugs, and participate in code reviews and mentorship.

Serve as a strategic partner to K-12 district leaders to drive successful implementation of Ellevation, build trusted relationships, analyze partner health data, and guide districts to improve outcomes for multilingual learners. Collaborate cross-functionally to advocate for partner needs, support onboarding and scaling, and surface feedback to product teams to enhance the partner experience.

Lead execution and optimization of multi-channel ABM programs (1:1, 1:few, 1:many), align campaigns with sales and field marketing, manage paid media, maintain account segmentation and intent data, monitor account-level engagement and pipeline influence, and continuously test and optimize using AI tools. Mentor one team member and coordinate creative, analytics, and execution across internal teams and partners.

Lead and scale business development across Adobe, Google, and Emerging Technologies practices. Drive revenue, pipeline, GTM strategy, P&L performance, demand generation, and cross-functional alignment. Mentor practice leaders, optimize metrics (utilization, margin, forecasting), identify new market opportunities and partnerships, and report to the Chief Growth Officer to meet annual growth and profitability targets.

Drive ASI's growth in the energy sector by developing strategies, building relationships, identifying opportunities, and aligning customer needs with product capabilities.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.