Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Remote full-time MLOps Engineer role to design, evaluate, and improve ML infrastructure and large-scale training systems. Develop and review challenging MLOps tasks, optimize GPU kernels (Pallas/Triton), create evaluation rubrics, and collaborate with researchers to improve model reasoning and training pipelines. Requires production JAX/PyTorch experience and strong distributed training knowledge.

Collect and evaluate Egyptian Arabic voice interactions for an AI voice assistant. Use a Mac to perform voice-driven tasks, record transcripts, clean transcripts, assess AI responses for quality, maintain logs, upload recordings, and follow project guidelines during a ~3-week remote engagement.

Design realistic, multi-step data analysis benchmark tasks and create reproducible reference analyses. Evaluate AI-generated analyses for correctness, statistical validity, and interpretation. Collaborate with researchers to improve benchmark quality and document methodologies in Jupyter/Colab notebooks.

Evaluate and score AI-generated and human consulting deliverables by developing task-specific evaluation criteria, applying structured frameworks, and providing evidence-based written justifications. Assess strategic thinking, financial reasoning, market analysis, and executive communication; collaborate to refine guidelines, improve scoring consistency, and enhance AI training datasets. Work independently in a remote, asynchronous review environment and continuously calibrate evaluation quality against peers.

Evaluate and record Turkish voice interactions using a Mac, perform everyday voice-driven tasks, transcribe and correct speech, rate AI responses for quality, maintain task logs, upload recordings, and follow project quality standards.

Design task-specific, objective evaluation frameworks for data science deliverables. Assess AI- and human-generated analyses, models, dashboards, experiments, and recommendations using reproducible scoring. Produce detailed written justifications, refine methodologies with reviewer feedback, and collaborate with cross-functional teams to improve AI training and evaluation standards.

Use Spanish voice commands to perform everyday tasks, record and correct transcripts, evaluate AI responses for accuracy and naturalness, maintain logs, upload recordings, and follow quality standards to improve multilingual voice AI systems.

Seeking an Engineering Manager or Principal Engineer to drive technical advancement. Must have extensive Java, Apache Flink, and Rust experience, strong background building scalable distributed systems, proven leadership, and a high-ownership, builder mindset in a security-focused company.

Serve as the internal customer advocate and technical pre-sales lead for finance-heavy billing and revenue recognition solutions. Translate complex billing and revenue requirements into configured demos, sandbox environments, and solution documents. Partner with Sales, Product, and Engineering to support discovery, RFPs, implementations, and handoffs for enterprise customers.

Lead architecture, development, and delivery of enterprise-scale real-time streaming solutions using Apache Flink and Java. Manage and mentor engineering teams, design fault-tolerant distributed systems, implement stream processing pipelines, and ensure performance, scalability, and production reliability. Collaborate with stakeholders across product, DevOps, and architecture to drive technical roadmaps and best practices.