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Remote Senior Mining Engineer Jobs in California

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

  • Medical

  • PTO

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Muon Space

Senior Optomechanical Engineer

Mountain View, CA · On-site +1

$166K - $223K/yr

About the role Muon Space seeks a Senior Optomechanical Engineer to join our team in Mountain View, CA or Remote, supporting the production of infrared remote sensing instruments. The ideal candidate ...

LinkedIn

Senior AI Engineer

Mountain View, CA · On-site +1

$144K - $236K/yr

As a Senior AI Software Engineer you will own end-to-end machine learning systems that run in ... learning, data mining, and information retrieval or natural language processing Preferred ...

New

SpaceX

Sr. Network Security Engineer

Hawthorne, CA · Remote

$165K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SR. NETWORK SECURITY ENGINEER SpaceX is looking for a Sr. Network Security Engineer with deep ... Own the full lifecycle of remote access infrastructure from initial design and ground-up ...

Wood Rodgers

Senior Engineer

Roseville, CA · On-site +1

$109K - $150K/yr

This role offers a hybrid work arrangement, allowing you to balance remote work with in-office ... A senior engineer may serve as a project manager on a single major, or several minor, engineering ...

Wood Rodgers

Senior Engineer

Sacramento, CA · On-site +1

$111K - $153K/yr

This role offers a hybrid work arrangement, allowing you to balance remote work with in-office ... A senior engineer may serve as a project manager on a single major, or several minor, engineering ...

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All JobsMining Engineer JobsRemote Senior Mining Engineer JobsRemote Senior Mining Engineer Jobs in California

Remote Senior Mining Engineer information

What are the key skills and qualifications needed to thrive as a remote senior mining engineer, and why are they important?

To thrive as a Remote Senior Mining Engineer, you need a strong background in mining engineering principles, project management, and a relevant engineering degree, often supported by a Professional Engineer (PEng) license. Familiarity with mining design software (such as Surpac, Vulcan, or MineSight), remote collaboration tools, and knowledge of regulatory compliance are typically required. Excellent problem-solving, leadership, and communication skills help in coordinating with diverse teams and managing projects from a distance. These skills ensure efficient mine planning, safety, and successful remote project execution in a complex and highly regulated industry.

What are the main challenges faced by remote senior mining engineers, and how can they be addressed?

Remote Senior Mining Engineers often face challenges related to effective communication and site oversight, since they are not physically present at the mine. To address these, they rely heavily on digital collaboration tools, clear reporting structures, and regular virtual meetings with on-site teams. Additionally, maintaining up-to-date knowledge of site-specific conditions and regulations is crucial, which can be managed through constant coordination with local engineers and periodic site visits when necessary. Emphasizing proactive problem-solving and strong documentation skills also helps ensure project success despite the distance.

What is the difference between Remote Senior Mining Engineer vs Remote Mining Engineer?

AspectRemote Senior Mining EngineerRemote Mining Engineer
Required CredentialsEngineering degree, professional license, extensive experienceEngineering degree, some experience, possibly certification
Work EnvironmentProject management, strategic planning, oversightDesign, analysis, data collection, field support
Employer & Industry UsageMining companies, consulting firms, project ownersMining companies, contractors, consulting firms
Common Search/ComparisonSenior roles, leadership, project oversightEntry to mid-level roles, technical tasks

The main difference between a Remote Senior Mining Engineer and a Remote Mining Engineer lies in experience, responsibilities, and scope. Senior engineers typically oversee projects, make strategic decisions, and have advanced credentials, while mining engineers focus on technical tasks and data analysis. Both roles are essential in mining operations but differ in leadership and experience levels.

What is a remote senior mining engineer?

Remote Senior Mining Engineers are experienced professionals who oversee and manage mining operations, projects, and engineering tasks from a remote location, rather than being physically present at a mine site. They utilize digital tools and communication technologies to collaborate with on-site teams, analyze data, and ensure that mining projects meet safety, efficiency, and regulatory standards. Their responsibilities may include project planning, resource estimation, risk assessment, and providing technical guidance to junior engineers. Remote work allows them to support multiple sites or projects globally, increasing efficiency and flexibility.

What cities in California are hiring for Remote Senior Mining Engineer jobs?

Cities in California with the most Remote Senior Mining Engineer job openings:

Remote Senior Mining Engineer jobs near you

Senior ML Engineer

Career Renew

San Francisco, CA • Remote

$180K - $240K/yr

Full-time

Medical, PTO

Re-posted 13 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.
Since 2017, we’ve been on a mission to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale — not just run experiments.


What will you be doing?

  • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields

  • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences

  • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth

  • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment

  • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals

Requirements:
5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory)
Experience building production systems in Python (Mandatory)
Familiarity with low-latency production ML systems (Mandatory)
Experience working at a high-growth startup (Mandatory)
Background in NLU, NLP, or conversational AI (Nice-to-have)
BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory)
Why you should join
  • Industry leader in Voice AI for customer service since 2017 — powering enterprise customers like AAA and Fanatics where 50%+ of callers get fully resolved by the bot with higher satisfaction scores than human agents.
  • $113M raised from top-tier investors including Stripes, Salesforce Ventures and Norwest — Series B closed in 2022 at $78M with strong backing from day one.
  • Work on genuinely cutting-edge AI problems — low latency inference, hallucination reduction, prompt injection guardrails and dynamic conversation design at the frontier of what's possible with LLMs today.
  • Small team means real ownership and real impact — every improvement you ship moves the needle for enterprise customers in high-stakes scenarios (think: someone stranded on the road calling AAA).
  • Remote-first with strong perks — flexible vacation, paid sabbatical after 5 years, comprehensive health benefits, wellness stipend and a tech/learning stipend for conferences, books and courses. Competitive salary ($180K–$230K) plus meaningful equity.