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Train Engineer Jobs in Santa Rosa, CA (NOW HIRING)

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Engineering Assistant (lead) - NOT REMOTE

Santa Rosa, CA · On-site

$32 - $39/hr

Engineering Assistant (Lead) - Santa Rosa, CA $32-$39/hr DOE | Day Shift | Full-Time | Temp-to-Hire ... Train and onboard new employees; document training and qualifications. * Assist with technical ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA

$135K - $163K/yr

Train scientists and research software engineers in the use of the developed software products at workshops and conferences * Demonstrate good judgment in selecting methods and techniques for ...

Viavi Solutions

Senior Manufacturing Engineer

Santa Rosa, CA · On-site

$99K - $136K/yr

... quality; train operators on their use. * Program and maintain processing equipment such as for ... Collaborate across engineering, quality, and maintenance on designing processes for new products ...

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All JobsTrain Engineer JobsTrain Engineer Jobs in Santa Rosa, CA

Train Engineer information

See Santa Rosa, CA salary details

$41.5K

$126.7K

$209.4K

How much do train engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for train engineer in Santa Rosa, CA is $126,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $165,600.00 per year, depending on experience, location, and employer.

What is a train engineer?

Train engineers, also known as locomotive engineers, are professionals responsible for operating trains that transport passengers or freight. They control the speed, handling, and braking of the train, ensuring it runs safely and on schedule. Train engineers must be highly attentive, follow safety regulations, and be able to respond quickly to unexpected situations. Their work often involves collaborating with conductors and other rail workers to ensure smooth and safe train operations.

What are the key skills and qualifications needed to thrive as a train engineer?

To thrive as a Train Engineer, a solid understanding of railway operations, mechanical systems, and safety regulations is essential, typically supported by a high school diploma and completion of a railroad training program. Familiarity with train control systems, signaling technology, and certification from the Federal Railroad Administration (FRA) are commonly required. Attention to detail, problem-solving, and effective communication are important soft skills for responding to unexpected situations and coordinating with crew members. These skills and qualifications are critical for ensuring the safe and efficient operation of trains, protecting passengers, cargo, and railway infrastructure.

What are some common challenges train engineers face during daily operations, and how are they typically addressed?

Train Engineers often encounter challenges such as managing unexpected delays, adverse weather conditions, or mechanical issues with locomotives. To address these, they rely on clear communication with dispatchers and maintenance crews, adhere strictly to safety protocols, and follow established troubleshooting procedures. Ongoing training ensures engineers are prepared for emergencies and can make quick, informed decisions to maintain passenger safety and schedule reliability. Collaboration with other railroad staff is essential for resolving issues efficiently and minimizing disruptions.

What is the difference between Train Engineer vs Locomotive Operator?

AspectTrain EngineerLocomotive Operator
Required CredentialsCommercial driver's license, safety certifications, technical trainingSimilar certifications, safety training, technical knowledge
Work EnvironmentTrain cabins, rail yards, maintenance facilitiesLocomotive cabs, rail yards, on-track operations
Employer & IndustryRailroads, freight and passenger servicesRailroads, freight companies, transit agencies
Common Search/ComparisonYesYes

Both Train Engineers and Locomotive Operators are essential roles in rail transportation, requiring similar certifications and working in comparable environments. While the terms are often used interchangeably, 'Train Engineer' typically emphasizes operating passenger or freight trains, whereas 'Locomotive Operator' may focus more on the technical operation of locomotives. Understanding these nuances helps job seekers find the right position in the rail industry.

Do train engineers make good money?

Train engineers typically earn a median annual salary of around $60,000 to $70,000, with experienced professionals and those working for major rail companies earning higher wages. Salaries can vary based on location, experience, and certifications such as locomotive engineer licenses. The job often includes shift work and safety training requirements.

How do you get a job as a train engineer?

To become a train engineer, candidates typically need a high school diploma or equivalent, followed by specialized training provided by the employer or a technical school. They must obtain a locomotive engineer license from the Federal Railroad Administration, which involves passing written and skills tests, and often requires prior experience as a train conductor or in a related role.

Is there a demand for train engineers?

Train engineers are in steady demand due to the ongoing need for freight and passenger transportation. Employment opportunities often depend on the transportation industry’s growth, infrastructure investments, and the availability of qualified personnel with proper certifications and experience.

What does a train engineer do?

A train engineer, also known as a locomotive engineer, operates and controls trains to ensure safe and efficient transportation of passengers or freight. They monitor signals, control speed, and communicate with dispatchers, often working in a cab with specialized equipment. Certification and adherence to safety protocols are essential in this role.

What job categories do people searching Train Engineer jobs in Santa Rosa, CA look for?

The top searched job categories for Train Engineer jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Train Engineer jobs?

Cities near Santa Rosa, CA with the most Train Engineer job openings:

Train Engineer jobs near you
Infographic showing various Train Engineer job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $126,678 per year, or $60.9 per hour.

Reinforcement Learning Environment Engineer (Contract)

Cobalt

Sonoma, CA • On-site

Other

Posted 4 days ago

Key responsibilities

  • Design and build task environments with programmatic success criteria, including multi-step and tool-using tasks.

  • Specify reward functions and partial-credit schemes, and stress-test them for exploitation by capable agents.

  • Evaluate agent trajectories, identify failure points, and classify failures into a consistent taxonomy.

Job description

About the role:

Cobalt is seeking people who can build the environments frontier labs train and evaluate agents in: tasks with real difficulty, unambiguous success conditions, and scoring that survives contact with a capable model.

This opportunity is suited to reinforcement learning researchers, research engineers, simulation and tooling engineers, and people who have built serious benchmarks, competition problems, or training environments. Depth in RL is valuable, but so is the engineering discipline required to make an environment reproducible and hard to game.

You do not need prior experience in data annotation. What matters is that you can take a domain, decide what a meaningful task in it looks like, and build something that measures it correctly.


What you'll do:

Depending on the project, you may:

  • Design and build task environments with programmatic success criteria, including multi-step and tool-using tasks that cannot be solved by a shortcut
  • Specify reward functions and partial-credit schemes, and stress-test them for the ways a capable agent would exploit them rather than solve the task
  • Produce written reasoning traces and reference solutions showing how a competent human works through the tasks you build
  • Evaluate agent trajectories, identifying the specific step at which behavior goes wrong, and classifying failures into a consistent taxonomy
  • Assess whether a scored result reflects genuine task completion, and flag cases where the environment or the metric is measuring the wrong thing

Projects follow their own guidelines, formatting conventions, and quality standards, and you will work with feedback from reviewers and lab research teams.


Required qualifications:

  • Direct experience with reinforcement learning, agent evaluation, simulation, or benchmark and environment construction, whether in research, industry, or substantial open-source work
  • Strong software engineering ability in Python, sufficient to build reproducible environments, harnesses, and automated scoring
  • A PhD in a quantitative discipline, or equivalent depth demonstrated through published work, open-source contributions, or production systems
  • Understanding of reward hacking and specification gaming, and the instinct to look for them in your own designs before someone else does
  • Ability to explain each step of your reasoning and design decisions clearly in writing


Why join Cobalt AI:

  • Advance frontier AI where it counts. Apply your expertise to data that frontier labs cannot obtain any other way, where your reasoning directly shapes how the next generation of models works through technical problems.
  • Grow professionally. Expand your influence through evaluation projects, advisory roles, and research collaborations, while developing a working understanding of how frontier models are trained and assessed.
  • Work with a top-tier network. Collaborate with researchers and engineers from leading institutions and labs on high-impact, flexible work.
  • Set your own schedule. Flexible 10 to 40 hour weeks that fit around your existing work and your life.
  • Competitive pay. Rates vary by project and are determined by a number of factors, including scope, skillset, and experience.

Apply