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Phd Python Jobs in Santa Clara, CA (NOW HIRING)

Simular

PhD Research Intern

Palo Alto, CA · On-site

PhD Intern Where multiple locations are listed for this role, the position may be based in any of ... Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX) * Curiosity ...

Pika

Research Intern (BS/MS/PhD)

Palo Alto, CA · On-site

We are looking for passionate Research Interns at the BS, MS, or PhD level with significant ... Proficiency in Python and ML toolkits (such as PyTorch, TensorFlow, etc.). * Prior exposure to ...

PIKA Inc

Research Intern (BS/MS/PhD)

Palo Alto, CA · On-site

We are looking for passionate Research Interns at the BS, MS, or PhD level with significant ... Proficiency in Python and ML toolkits (such as PyTorch, TensorFlow, etc.). * Prior exposure to ...

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How much do phd python jobs pay per year?

As of Aug 27, 2026, the average yearly pay for phd python in Santa Clara, CA is $164,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $193,200.00 per year, depending on experience, location, and employer.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.

What skills and qualifications are needed to thrive as a PhD Python developer?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within research or industry settings?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

Can we do a PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students can pursue doctoral degrees in related areas and use Python as a primary tool for research and data analysis. Gaining expertise in Python, along with a strong foundation in research methods, is essential for completing such a PhD.

What are 10 careers related to Python?

Careers related to Python include software developer, data scientist, machine learning engineer, backend developer, automation engineer, data analyst, research scientist, DevOps engineer, cybersecurity analyst, and quantitative analyst. These roles often require strong programming skills, knowledge of libraries like Pandas or TensorFlow, and experience with software development environments. Python's versatility makes it applicable across industries such as finance, healthcare, technology, and research.

Which Phd Python job is in demand?

PhD Python roles in data science, machine learning, and artificial intelligence are currently in high demand, especially in research institutions, tech companies, and finance. These positions often require strong programming skills, experience with frameworks like TensorFlow or PyTorch, and advanced knowledge of algorithms and data analysis.

What are popular job titles related to Phd Python jobs in Santa Clara, CA?

For Phd Python jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Phd Python jobs in Santa Clara, CA look for?

The top searched job categories for Phd Python jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Phd Python jobs?

Cities near Santa Clara, CA with the most Phd Python job openings:

Phd Python jobs near you
Infographic showing various Phd Python job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $164,387 per year, or $79 per hour.

PhD Research Intern

Simular

Palo Alto, CA • On-site

Other

Re-posted 26 days ago

Job description

PhD Intern

Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.

What you'll do

As a PhD intern, you will:

  • Collaborate with research scientists to advance methods in:
    • Planning and RL for computer use (e.g. behavioral cloning, RL on model weights, RAG-based domain knowledge)
    • Multimodal grounding (e.g. vision-only models, tree search, hybrid methods with large models)
    • Reward/judge modeling (e.g. error analysis, human evaluation, training judge models)
    • User intent understanding (e.g. modeling vague queries, preference learning)
  • Contribute to building datasets, running experiments, and benchmarking results
  • Explore novel approaches and help derisk Simular's long-term technical roadmap
  • Document and communicate findings through internal reports or academic-style writing

You might be a fit if

  • Currently pursuing a PhD in Computer Science, Machine Learning, or related field
  • Research background in at least one of: Reinforcement learning, Large language/vision-language models, Computer vision and multimodal perception, Representation learning
  • Experience conducting experiments and publishing or preparing papers in top-tier conferences (NeurIPS, ICLR, ICML, CVPR, ACL, etc.)
  • Strong coding and prototyping skills in Python and ML frameworks (PyTorch/JAX)
  • Curiosity, initiative, and interest in bridging fundamental research with applied AI

Apply