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Stack Python Jobs in San Francisco, CA (NOW HIRING)

INTELLISWIFT INC

Sr. Python Developer

San Francisco, CA

$143K - $192K/yr

Uber has a huge stack, and we're all over it: backend services, real-time dispatch, mobile, web ... Python, Javascript, PostgreSQL, Node.js, Redis, iOS apps, Android apps. Intelligent. Highly ...

Clera

AI Engineer (Mid-Level)

San Francisco, CA · On-site

Proficiency across the stack: Python plus TypeScript/React (or equivalent), and experience with cloud platforms (AWS or GCP) and relational or NoSQL databases. * Working knowledge of RAG patterns ...

Clera

AI Engineer (Mid-Level)

San Francisco, CA · On-site

Proficiency across the stack: Python plus TypeScript/React (or equivalent), and experience with cloud platforms (AWS or GCP) and relational or NoSQL databases. * Working knowledge of RAG patterns ...

xAI

Member of Technical Staff - X Search

San Francisco, CA · On-site

$180K - $440K/yr

Integrate Grok in search systems and products BASIC QUALIFICATIONS: * Tech Stack: Python, Go, Rust * Have worked with vector databases, search indices, or similar data stores for search applications

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All JobsStack Python JobsStack Python Jobs in San Francisco, CA

Stack Python information

See San Francisco, CA salary details

$70.1K

$152.9K

$216.2K

How much do stack python jobs pay per year?

As of Jun 12, 2026, the average yearly pay for stack python in San Francisco, CA is $152,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $177,900.00 per year, depending on experience, location, and employer.

Which pays more, C++ or Python?

For a Stack Python developer, salary differences between C++ and Python roles depend on experience, industry, and location. Generally, C++ developers tend to earn higher salaries due to its use in performance-critical systems, but Python roles are also well-compensated, especially in data science and web development. Both skills are in demand, and compensation varies based on expertise and job complexity.

What is the difference between Stack Python vs Python Developer?

AspectStack PythonPython Developer
Required CredentialsPython certifications, knowledge of frameworks like Django/FlaskPython certifications, coding skills, possibly related certifications
Work EnvironmentOften part of a team working on full-stack applications, including front-end and back-endPrimarily focused on back-end development, scripting, and application logic
Employer & Industry UsageTech companies, startups, web development firmsSoftware companies, web development agencies, tech startups
Common Search & ComparisonYesYes

Stack Python typically refers to a full-stack role involving Python for both front-end and back-end development, often requiring knowledge of multiple frameworks and technologies. Python Developers usually focus on back-end coding, scripting, and application logic. While both roles require Python expertise, Stack Python professionals work across the entire technology stack, whereas Python Developers specialize in server-side development.

What are the typical responsibilities of a Stack Python developer in a collaborative development team?

As a Stack Python developer, you are often responsible for building both backend and, sometimes, frontend components of web applications using Python frameworks like Django or Flask. In a collaborative team environment, your daily tasks may include writing and reviewing code, participating in code reviews, integrating APIs, and working closely with designers, product managers, and QA engineers to deliver features. You may also assist in troubleshooting bugs, optimizing application performance, and contributing to deployment processes. Effective communication and teamwork are key, as projects usually involve coordinating with various stakeholders and adhering to agile methodologies.

Will AI replace Python coders?

Python developers are essential for creating, maintaining, and optimizing AI systems, as AI tools still require human expertise for design, debugging, and ethical considerations. While AI can automate certain coding tasks, it is unlikely to fully replace Python programmers in the near future, especially those with skills in machine learning, data analysis, and software development. Continuous learning and adapting to new tools remain important for Python coders to stay relevant in the evolving tech landscape.

What is a Stack Python developer?

A Stack Python developer is a programmer who specializes in using the Python programming language to build and maintain software applications across different layers of a technology stack. This can include backend development with frameworks like Django or Flask, frontend work using tools such as JavaScript and React, and sometimes even database management. Stack Python developers are valued for their versatility and ability to handle multiple aspects of a project. They often collaborate with other developers and stakeholders to deliver scalable and efficient solutions using Python and related technologies.

Is Python full stack developer a good career?

A Python full stack developer is a versatile role that involves working with both front-end and back-end technologies, often using frameworks like Django or Flask. It offers strong job prospects due to high demand for Python skills, and developers typically need knowledge of HTML, CSS, JavaScript, and databases. This career can be rewarding with opportunities for growth in web development, data analysis, and automation.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a relevant degree or coding bootcamp experience. Familiarity with frameworks like Django or Flask, version control systems such as Git, and databases like PostgreSQL or MongoDB is typically required. Problem-solving abilities, attention to detail, and effective communication help you collaborate and deliver reliable solutions. These skills ensure you can build, maintain, and optimize software applications efficiently in dynamic development environments.

How much does a full-stack Python developer make?

A full-stack Python developer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, location, and skill set. Developers proficient in frameworks like Django or Flask and familiar with front-end technologies tend to earn higher salaries.
What are popular job titles related to Stack Python jobs in San Francisco, CA? For Stack Python jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Stack Python jobs in San Francisco, CA look for? The top searched job categories for Stack Python jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Stack Python jobs? Cities near San Francisco, CA with the most Stack Python job openings:
Stack Python jobs near you

Founding Machine Learning Engineer

Brahma Consulting Group

San Francisco, CA

Full-time

Posted 21 days ago

Job description

Founding ML Architect

San Francisco, CA


About this role

We are looking for a world-class ML leader to architect and own our AI roadmap. This is a foundational role that will work closely with the founders to define the technical

trajectory across our platform, including code generation, reinforcement learning, layout optimization etc. You'll lead a growing ML team and work cross-functionally to turn

cutting-edge research into usable tools for chip engineers. You should bring deep expertise in ML for chip design, as well as leadership experience in high-performance

engineering teams.


Responsibilities

  • Contribute to building the ML roadmap and research strategy for Architect across RTL and PD domains.
  • Architect and deploy novel agent-based systems, including fine-tuning models for RTL Code generation, physical design tasks automation and hardware problem
  • reasoning.
  • Lead, mentor, and scale a team of top-tier ML engineers. Guide research direction, implementation standards, and modeling infrastructure.
  • Interface with hardware engineers to identify bottlenecks in chip design pipelines that ML can solve.
  • Stay ahead of state-of-the-art techniques in ML4EDA, agent orchestration, and model compression/deployment.


Tech stack

Python, PyTorch, RL libraries, Transformers, MLOps, JavaScript, TypeScript, Linux,

RTL Code Generation, Physical Design Automation, Hardware Problem Reasoning,

Agentic Systems, Fine-tuning Models, Multi-agent Orchestration, Reinforcement

Learning