ZipRecruiter

Log In

2

Remote Dpo Jobs in California (NOW HIRING)

All JobsDpo JobsRemote Dpo JobsRemote Dpo Jobs in California

Remote Dpo information

What is a remote DPO?

A Remote DPO, or Data Protection Officer, is a professional who oversees an organization's data protection strategies and ensures compliance with privacy laws such as the GDPR, while working remotely rather than on-site. Remote DPOs advise on data processing activities, monitor compliance, and serve as a point of contact for data subjects and regulatory authorities. They use digital tools to communicate, conduct audits, and manage data protection tasks from any location. This role is especially valuable for companies operating internationally or with distributed teams.

What are the key skills and qualifications needed to thrive as a remote DPO?

To thrive as a Remote DPO, you need a deep understanding of data protection laws (like GDPR), risk management, and compliance, typically supported by a relevant degree or professional certification (such as CIPP/E or CIPM). Familiarity with privacy management software, data mapping tools, and incident response systems is crucial. Strong communication, problem-solving, and ethical judgment are essential soft skills for advising stakeholders and ensuring regulatory adherence. These skills and qualities are vital to safeguard sensitive data, maintain compliance, and build trust in remote or digital-first environments.

How does a remote DPO typically collaborate with cross-functional teams while ensuring data privacy compliance?

As a Remote DPO, collaboration with cross-functional teams—such as IT, legal, HR, and marketing—is essential to ensure data privacy requirements are integrated into all business processes. You’ll frequently participate in virtual meetings, review data processing activities, and provide guidance on privacy policies and risk assessments. Effective communication skills and a proactive approach are key, as you’ll often need to interpret complex regulations for different departments and ensure ongoing staff training. Despite being remote, building strong relationships and maintaining clear documentation are critical to successfully embedding a privacy-first culture across the organization.

What is the difference between Remote Dpo vs Data Privacy Analyst?

AspectRemote DpoData Privacy Analyst
Required CredentialsGDPR certification, legal or privacy backgroundData protection certifications, analytical skills
Work EnvironmentRemote, compliance-focusedRemote or on-site, data analysis and reporting
Industry UsageLegal, healthcare, finance, techTech, finance, healthcare, consulting

The Remote Dpo primarily oversees data protection compliance and legal requirements, often requiring legal or privacy certifications. In contrast, a Data Privacy Analyst focuses on analyzing data practices, ensuring privacy policies are followed, and may not need legal credentials. Both roles can be remote and are vital in industries handling sensitive data, but the Dpo has a broader compliance and legal oversight scope.

What are the most commonly searched types of Dpo jobs in California?

The most popular types of Dpo jobs in California are:

What are popular job titles related to Remote Dpo jobs in California?

For Remote Dpo jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Dpo jobs in California look for?

The top searched job categories for Remote Dpo jobs in California are:

What cities in California are hiring for Remote Dpo jobs?

Cities in California with the most Remote Dpo job openings:

Remote Dpo jobs near you

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 7 hours ago

Job description

Job Description

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

As Machine Learning Technical Lead, you own the execution layer of intelligence.  You will translate research direction into reliable, scalable, production-grade ML systems.  This role sits at the intersection of research, infrastructure, and product.  You will be responsible for making models trainable, deployable, observable, and performant under real-world constraints.  This position is 100% Remote.

Machine Learning Technical Lead Responsibilities:

- Own end-to-end ML system execution:  data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.

- Architect and operate scalable inference systems, balancing latency, cost, and reliability.

- Design and maintain data systems for high-quality synthetic and real-world training data.

- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.

- Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products.

- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

- Work under real production constraints: latency, cost, reliability, and safety

Machine Learning Technical Lead Outcomes:

- Research and models reliably translate into production-ready solutions with clear performance and quality targets.

- ML pipelines, training loops, and inference systems are stable, efficient, and maintainable.

- Production issues are detected, debugged, and resolved quickly, minimizing user impact.

- Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction.

- Iterations on models and systems are measurable, safe, and improve user experience over time.

Qualifications

Machine Learning Technical Lead Qualifications:

- Experience building or shipping real Machine Learning systems used by people, not just demos.

- Artificial Intelligence (AI) experience required.

- Experience working with large models and understanding their failure modes.

- Experience writing strong, production-grade code.

- You are self-directed, pragmatic, and take full ownership of outcomes.

- You communicate clearly and collaborate well in small, high-trust teams.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Machine Learning Technical Lead, AI, Artificial Intelligence, Distillation, DPO, GPU Optimization, JAX, LoRA, Machine Learning, Python, PyTorch, QLoRA, SFT, Technical Lead, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Machine Learning Technical Lead in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Machine Learning Technical Leads for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.ginastechjobs.com.

Apply