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Remote Deep Brain Stimulation Jobs in California

Lead Data Scientist, Product

San Francisco, CA · On-site +1

$200K - $250K/yr

Develop deep understanding of the product ecosystem and identify opportunities to drive activation ... Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and ...

Solutions Architect

San Francisco, CA · Remote

$74.25 - $97.75/hr

... remote) About The Role We are looking for a Solution Architect who serves as the technical brain ... Deep experience designing solutions for SaaS platforms (PSA, CRM, ERP, ITSM, workflow automation ...

Showing results 21-40

Remote Deep Brain Stimulation information

What is remote deep brain stimulation?

Remote Deep Brain Stimulation (DBS) refers to the use of telemedicine and digital technologies to monitor, adjust, or program DBS devices for patients with neurological disorders such as Parkinson's disease. This approach allows clinicians to manage and optimize DBS therapy from a distance, reducing the need for frequent in-person visits. Remote DBS can improve patient access to care, especially for those living far from specialized centers, and ensures timely adjustments to treatment plans. The technology typically involves secure video consultations and wireless data transfer between the patient's device and the healthcare provider.

What are the key skills and qualifications needed to thrive as a remote deep brain stimulation specialist?

To thrive as a Remote Deep Brain Stimulation (DBS) Specialist, you need a background in neurology, biomedical engineering, or a related field, along with experience in neuromodulation therapies. Familiarity with DBS programming systems, telemedicine platforms, and medical device management is crucial, and certifications in neurophysiology or DBS programming are often preferred. Strong analytical thinking, attention to detail, and effective patient communication are key soft skills for success in this role. These skills are vital to ensure patient safety, precise device adjustments, and optimal therapeutic outcomes in a remote clinical environment.

What are some common challenges faced by professionals working in remote deep brain stimulation roles, and how are they addressed?

Professionals in remote deep brain stimulation roles often encounter challenges related to ensuring reliable connectivity for device programming and patient monitoring, as well as maintaining clear communication with patients and multidisciplinary care teams. To address these challenges, they typically rely on robust telehealth platforms, secure data transmission protocols, and thorough training in remote device management. Collaboration with neurologists, neurosurgeons, and technical support staff is essential to troubleshoot issues quickly and provide comprehensive care. Regular virtual follow-ups, standardized protocols, and patient education help ensure safety and effectiveness when working remotely.

What are the most commonly searched types of Deep Brain Stimulation jobs in California?

The most popular types of Deep Brain Stimulation jobs in California are:

What are popular job titles related to Remote Deep Brain Stimulation jobs in California?

For Remote Deep Brain Stimulation jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Deep Brain Stimulation jobs in California look for?

The top searched job categories for Remote Deep Brain Stimulation jobs in California are:

What cities in California are hiring for Remote Deep Brain Stimulation jobs?

Cities in California with the most Remote Deep Brain Stimulation job openings:

AI Benchmark & Datasets Engineer / Researcher

Pathway

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 23 days ago


Job description

About Pathway
Pathway builds the first post-transformer frontier model that solves AI's fundamental memory problem. While transformers wake up in the same state every time-like Groundhog Day-our architecture enables true continuous learning, infinite context reasoning, and real-time adaptation. We're not optimizing yesterday's technology; we're building what comes after transformers.
Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams.
Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20.
The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer ("the T" in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California.
The Opportunity
You will design and execute rigorous benchmarks and define dataset standards. Collaborating closely with our R&D team, you will build the evaluation infrastructure that guides the evolution of Pathway's post-transformer models.
You Will
  • Proactively identify, prioritize, and curate relevant public and client-driven benchmarks across our target use cases and markets.
  • Evaluate candidate benchmarks for clarity, data quality, evaluation methodology, and fit with our model roadmap.
  • Run benchmarks with baseline models to validate setup, uncover edge cases, and de-risk R&D runs.
  • Hand off "benchmark-ready" packages to R&D (specs, data, evaluation scripts, expected metrics, constraints)
  • Maintain a shared vocabulary and documentation around benchmarks, datasets, and evaluation formats that GTM and R&D can both use.
  • Track and organize benchmark results, model leaderboards, and "what good looks like" for different customers and scenarios.
  • Contribute to demos and public-facing proof points based on benchmark outcomes.

You will play a key role in defining and driving the benchmarking process for AI model evaluation. Your work will directly influence what we build, how we talk about it, and how customers and the market experience BDH.
Requirements
Cover letter
It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that.
You are expected to meet at least one of the following criteria:
  1. You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions.
  2. You have significantly contributed to an LLM training effort which became newsworthy (topped a Hugging Face benchmark, best in class model, etc.), preferably using multiple GPU's.
  3. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA).
  4. You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School.
You
  • Have experience with ML/LLM evaluation, data science, or technical product roles, ideally around benchmarks or experimentation.
  • Are comfortable reading papers, leaderboards, and Github repos, and turning them into clear, repeatable benchmark specs.
  • Can talk comfortably with both engineers and customers, and translate between technical detail and business value.
  • Care about high-quality data, reproducible experiments, and crisp documentation
  • Are respectful of others
  • Are fluent in English
Bonus Points
  • Published or open-sourced work on LLM evaluation, benchmarking or data quality.
  • Experience designing custom benchmarks or evaluation protocols for novel model capabilities.

Why You Should Apply
  • Join an intellectually stimulating work environment.
  • Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data.
  • Be part of one of an early-stage AI startup that believes in impactful research and foundational changes.

Benefits
  • Type of contract: Full-time, permanent
  • Preferable joining date: Immediate. The positions are open until filled - please apply immediately.
  • Compensation: based on profile and location.
  • Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered.

If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us.