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Dogpatch Jobs (NOW HIRING)

Account Associate

San Francisco, CA · On-site

$56K - $76K/yr

Company Description We are a small and growing artisan chocolate company in San Francisco's Dogpatch looking for a full-time Account Associate. We take pride that all of our chocolates are made by ...

Our Dogpatch headquarters is a space designed for invention: natural light, art, lab glass, and a hum of conversation from people who genuinely like each other. You'll find spontaneous brainstorms ...

Account Associate

San Francisco, CA

$56K - $76K/yr

Company Description We are a small and growing artisan chocolate company in San Francisco's Dogpatch looking for a full-time Account Associate. We take pride that all of our chocolates are made by ...

This is a long-term support role, on-site in San Francisco in the Dogpatch neighborhood. Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust ...

Scientific Evals

San Francisco, CA · On-site

$160K - $300K/yr

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're ...

Scientific Evals

San Francisco, CA · On-site +1

$160K - $300K/yr

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're ...

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Dogpatch information

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$33K

$69.7K

$183.5K

How much do dogpatch jobs pay per year?

As of Jun 8, 2026, the average yearly pay for dogpatch in the United States is $69,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What is Dogpatch?

Dogpatch typically refers to a neighborhood in San Francisco, California, known for its vibrant arts scene, historic architecture, and proximity to the waterfront. It's a popular area for young professionals, artists, and tech workers due to its unique character and convenient location. The neighborhood has undergone significant revitalization in recent years, offering a mix of trendy restaurants, cafes, and parks. Dogpatch also has a rich industrial history and is considered one of San Francisco’s most up-and-coming areas.

What is the difference between Dogpatch vs Graphic Designer?

AspectDogpatchGraphic Designer
Required CredentialsTypically no formal credentials, but experience in construction or architecture helpfulBachelor's degree in Graphic Design or related field, portfolio often required
Work EnvironmentConstruction sites, urban development projects, outdoor settingsDesign studios, advertising agencies, corporate offices
Industry UsageUrban planning, real estate development, constructionAdvertising, marketing, media, branding

Dogpatch and Graphic Designer roles differ mainly in work environment and industry focus. Dogpatch involves outdoor, construction-related settings, while Graphic Designers work primarily indoors in creative studios. Both roles require specific skills but cater to different industries and project types.

What are some common challenges faced by professionals working in the Dogpatch neighborhood, and how can they be addressed?

Professionals working in the Dogpatch neighborhood, particularly in tech startups, creative agencies, or manufacturing spaces, often face challenges such as limited parking, evolving infrastructure, and adapting to a rapidly changing business environment. Collaboration is a key aspect, with many companies housed in open-plan offices or co-working spaces, fostering cross-functional teamwork. To thrive, employees should be flexible, proactive in communication, and open to leveraging local resources or community networks for support. Embracing the area's innovative and collaborative culture can help professionals navigate these challenges successfully.
Infographic showing various Dogpatch job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $69,680 per year, or $33.5 per hour.

Principal Machine Learning Engineer

Edison Scientific

San Francisco, CA • On-site, Remote

$275K - $350K/yr

Other

Medical, Retirement

Posted 2 days ago


Job description

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.


Role

As a Principal Machine Learning Engineer at Edison Scientific, you play a central role in building the models and agents that accelerate scientific discovery. You will work on both cutting edge research and practical engineering, bridging advanced machine learning concepts with robust, reliable software that real scientists depend on.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team excited about what we're building.


Responsibilities
  • Interpret qualitative challenges in building AI agents for science as well-formulated optimizable problems
  • Build appropriate environments in which to train and deploy AI agents that solve scientific tasks
  • Work with scientists to formulate training data pipelines, and scale them, ensuring observability and reproducibility
  • Lead training of large-scale LLM-based systems, including building internal infrastructure to improve the efficiency of experimentation and production training runs
  • Build efficient and flexible inference infrastructure, supporting complex sampling algorithms and custom architectures
  • Develop and extend our experimentation platform for internal tools and projects.
  • Collaborate closely with a multidisciplinary team of AI researchers, chemists, biologists, fostering an environment of innovation and discovery.

Qualifications
  • 8-10+ years of strong track record of work in applied ML research and application of ML methods to solving real-world problems
  • Experience working across the ML lifecycle: data pipelines and provenance, model training, model deployment, and validation in production systems.
  • Fluency in PyTorch, Jax or equivalent framework.
  • Demonstrated experience with experimentation in academic or industry settings.
  • Strong programming expertise with the capability to adapt to various technical challenges in the data, ML, and LLM software stack.
Bonus points for
  • PhD in Machine Learning, Computer Science, or other quantitative field
  • Familiarity with leveraging and managing distributed computing resources
  • Background architecting complex distributed systems

Salary

$275,000 - $350,000   Offers equity


Why join us?

  • Competitive salary and equity
  • Full healthcare coverage - we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • 401(k) company matching
  • $300 health and wellness benefit
  • Lunch is on us every day you're in the office, and dinner is on us when you're working late
  • Regular team offsites and company events
  • A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it