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Seasonal Environmental Software Engineer Jobs (NOW HIRING)

An energizing, dynamic and highly collaborative environment * The opportunity to create delightful ... Work as a software engineer in a collaborative environment with passion and commitment. * Work with ...

You will work in a stable environment that values initiative, learning, ingenuity, and an entrepreneurial mindset. We are seeking a Software Engineer to help develop software that connects physics ...

You will work in a stable environment that values initiative, learning, ingenuity, and an entrepreneurial mindset. We are seeking a Software Engineer to help develop software that connects physics ...

Software Engineer

Santa Clara, CA ยท On-site

$226K - $227K/yr

... environments to reduce downtime and eliminate application performance issues. Education and ... Software Engineering or a related field plus two (2) years of experience in a related occupation.

Software Engineer

Dublin, OH ยท On-site

$35 - $70/hr

Software Engineers are involved in all phases of software development, from defining requirements ... We work in an environment that encourages individual initiative, leadership at all levels, and team ...

Software Engineer

Newark, CA ยท On-site

$181K - $190K/yr

... environments to reduce downtime and eliminate application performance issues. Education and ... Software Engineering or a related field plus two (2) years of experience in a related occupation.

Software Engineer

Huntsville, AL ยท On-site

$80K - $140K/yr

The Network, System Integration and Test Environment (NSITE) is a software suite used by the ... Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, or equivalent

Software Engineer

Huntsville, AL ยท On-site

$80K - $140K/yr

The Network, System Integration and Test Environment (NSITE) is a software suite used by the ... Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, or equivalent

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Seasonal Environmental Software Engineer information

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$38.5K

$91.2K

$133K

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

As of Jul 5, 2026, the average yearly pay for seasonal 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 Seasonal Environmental Software Engineer vs Environmental Software Engineer?

AspectSeasonal Environmental Software EngineerEnvironmental Software Engineer
CredentialsBachelor's degree in environmental science, software engineering, or related field; often requires familiarity with environmental data toolsBachelor's or higher in environmental science, software engineering; may require certifications in environmental modeling or GIS
Work EnvironmentTemporary or seasonal projects, fieldwork, office-based software developmentFull-time, year-round roles, often in offices or labs, with occasional fieldwork
Employer & IndustryEnvironmental consulting firms, government agencies, research institutionsEnvironmental tech companies, government agencies, research organizations

The main difference is that Seasonal Environmental Software Engineers work on short-term projects during specific seasons, often combining fieldwork with software tasks, while Environmental Software Engineers hold full-time roles focused on ongoing environmental software development and analysis.

What cities are hiring for Seasonal Environmental Software Engineer jobs? Cities with the most Seasonal 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 Seasonal Environmental Software Engineer jobs? States with the most job openings for Seasonal Environmental Software Engineer jobs include:

RL Environment Software Engineer

talentpluto

San Francisco, CA โ€ข On-site

$220K - $400K/yr

Full-time

Posted 4 days ago


Job description

Location: San Francisco, CA

Work Model: Hybrid

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.