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

Design, build, and deploy novel sensor hardware and data acquisition systems; curate geoscientific datasets; develop statistical, physics-based, and ML models (2D/3D) to predict mineralization; create visualizations and evaluation tools; collaborate with geoscientists, engineers, and vendors; deploy sensors in the field and integrate results to guide exploration programs.

The Corporate Accounting Lead oversees full-cycle accounting, financial reporting, vendor compliance, and supports joint venture operations while managing project budgets.

The role involves building decision science libraries and tools for mineral exploration, collaborating with teams to improve decision-making processes.

The Computational Hydrogeologist will develop water management strategies, design data collection programs, and execute numerical simulations for mining projects, collaborating with geologists and data scientists.

The Senior Drilling Engineer designs, plans, and oversees drilling programs for mineral exploration, ensuring safety and data quality while managing contractor performance and mentoring junior engineers.

The Engineering Manager will lead a team of software engineers, collaborating with data scientists and geologists to build robust data systems for mineral exploration. Responsibilities include planning and prioritizing projects, coaching team members, and contributing as an individual on critical tasks.

As a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

As a Data Scientist, you will develop predictive models, analyze geoscientific data, and collaborate with geoscientists to improve mineral exploration efforts.

Lead FP&A for a growing exploration and development company: own cash forecasting, build analytical models, produce actionable reporting, partner with operations, drive cost discipline, implement FP&A systems and automation, develop a small high-performing team, and support IPO readiness.