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Afternoon Environmental Software Engineer Jobs (NOW HIRING)

The Opportunity As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real ...

As a Software Engineer Level 2 or Level 3 at Independent Software, you will support the ... Experience developing applications in Linux environments. * Understanding of dependency injection ...

Software Engineer

Redmond, WA ยท On-site

$133K - $219K/yr

Collaboration, communication, problem-solving, and learning agility in ambiguous, cross-functional engineering environments experience. * Experience with software engineering fundamentals, including ...

As a Software Engineer Level 2 or Level 3 at Independent Software, you will support the ... Experience developing applications in Linux environments. * Understanding of dependency injection ...

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Afternoon Environmental Software Engineer information

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$38.5K

$91.2K

$133K

How much do afternoon environmental software engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for afternoon environmental software engineer in the United States is $91,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between Afternoon Environmental Software Engineer vs Environmental Software Engineer?

AspectAfternoon Environmental Software EngineerEnvironmental Software Engineer
Required CredentialsBachelor's in Environmental Science or Software Engineering, relevant certificationsBachelor's in Environmental Science or Software Engineering, relevant certifications
Work EnvironmentTypically works in office or field during afternoon hours, collaborating with environmental teamsWorks in office or field, often during standard hours, focusing on environmental data and software development
Employer & Industry UsageUsed by environmental consulting firms, government agencies, and tech companies focusing on environmental dataCommon in environmental tech companies, research institutions, and government agencies

The Afternoon Environmental Software Engineer primarily works during afternoon hours, often focusing on environmental data analysis and software development in a flexible schedule. The Environmental Software Engineer may work during standard hours and has similar responsibilities. Both roles require relevant degrees and certifications, with overlapping work environments and industry usage.

What cities are hiring for Afternoon Environmental Software Engineer jobs?

Cities with the most Afternoon Environmental Software Engineer job openings:

What are the most commonly searched types of Environmental Software Engineer jobs?

The most popular types of Environmental Software Engineer jobs are:

What states have the most Afternoon Environmental Software Engineer jobs?

States with the most job openings for Afternoon Environmental Software Engineer jobs include:

What are popular job titles related to Afternoon Environmental Software Engineer jobs?

For Afternoon Environmental Software Engineer jobs, the most frequently searched job titles are:

RL Environment Software Engineer

San Francisco, CA โ€ข Remote

$220K - $400K/yr

Full-time

Re-posted 13 days ago


Job description

Location: Remote (United States)

Work Model: Remote

Industry: Applied AI / AI research data

Compensation: $180K-$220K base, ~$400K+ OTE (uncapped profit share)

About the Company

Our partner is a fast-growing applied AI research lab that builds high-quality reinforcement-learning environments and agents sold to the world's leading AI labs. In under two years they have scaled to a nine-figure revenue run rate and grown their team severalfold in a matter of months, backed by leading venture investors. Quality is their core differentiator, and they are rapidly expanding into new domains.

The Opportunity

As an RL Environment Software Engineer, you will sit at the intersection of research engineering and traditional software engineering, building the environments that simulate real-world workflows and the agents that automate them. This is forward-looking work, you will help research and predict what high-quality environments the frontier will need next, then build them from the ground up.

You will join a brand-new RL team being assembled with exceptional talent, with a clear path to grow alongside it as the function scales into industry pods.

Responsibilities
  • Design and build high-quality RL environments that simulate real working environments end to end.
  • Develop agents for the tasks within those environments and iterate until they are efficient and production-ready.
  • Partner with the research team to scope which environments to build and why, staying ahead of future demand rather than only meeting present needs.
  • Own the backend and infrastructure layers that make environments reliable and scalable.
  • Help set engineering standards for a zero-to-one team as the RL function grows.
Requirements
  • Strong machine-learning engineers who code heavily and build systems from scratch, with strong intuition for reinforcement learning.
  • Proficiency across a modern stack, Node.js and Python on the backend and React/TypeScript on the frontend, with strong Kubernetes and Docker skills.
  • Comfort operating in a fast-paced startup environment with high ownership and long hours.
  • A track record of meaningful tenure and impact at previous companies.
  • Reinforcement-learning experience or an RL research background is a strong plus, though not required.
  • Bachelor's degree in computer science or a related technical field, or equivalent practical experience.