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Board Game Developer Jobs (NOW HIRING)

WI · On-site

$90 - $130/hr

We're looking for a Frontend Software Engineer to join our team in Ghent. If you're looking to work ... A green office with a great atmosphere and lots of initiatives, such as board game nights, theme ...

Data Production Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore ... At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game ...

Solutions Engineer II

Bellevue, WA · On-site

$105K - $150K/yr

Solutions Engineers at Esper build things: integration tooling, validation frameworks, automation ... Team hikes and other fun events (e.g. mini-golf, bowling, board game nights, trivia, outdoor events ...

Showing results 41-60

Board Game Developer information

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$32.5K

$108.5K

$180K

How much do board game developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for board game developer in the United States is $108,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $124,000.00 per year, depending on experience, location, and employer.

What is a board game developer?

A Board Game Developer is responsible for designing, prototyping, testing, and refining board games. They work on game mechanics, themes, rules, and component design to create engaging and balanced gameplay experiences. Developers collaborate with artists, writers, and playtesters to improve game quality. They may work for game publishers, as freelancers, or independently through crowdfunding and self-publishing.

What are the typical day-to-day responsibilities of a board game developer?

Board Game Developers spend their days brainstorming and designing game concepts, creating and testing prototype versions, and refining rules and game mechanics based on playtesting feedback. Collaboration is frequent, often involving partnership with artists for visual assets, writers for narratives, and marketing teams to align on audience appeal. Developers may also prepare pitch materials for publishers, manage timelines, and participate in industry events for research and networking. This variety ensures that each day offers new creative and problem-solving challenges, making the role both dynamic and highly collaborative.

What are the key skills and qualifications needed to thrive as a board game developer?

To thrive as a Board Game Developer, you need a blend of creative design abilities, strong understanding of gameplay mechanics, and problem-solving skills, often backed by experience in game design, graphic design, or a related field. Familiarity with tools like Adobe Creative Suite, prototyping software, and knowledge of playtesting methodologies are commonly required, while formal certifications in game design can be beneficial. Strong communication, teamwork, and adaptability are vital soft skills for collaborating with artists, writers, and playtesters throughout the development process. These competencies ensure that you can conceptualize engaging games, efficiently iterate on designs, and bring innovative products to market.

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What cities are hiring for Board Game Developer jobs?

Cities with the most Board Game Developer job openings:

What are the most commonly searched types of Board Game Developer jobs?

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What states have the most Board Game Developer jobs?

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Infographic showing various Board Game Developer job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 79% Full Time, 16% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $108,471 per year, or $52.1 per hour.

Machine Learning Engineer

Sprinter Health

San Francisco, CA • On-site

$140K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

About Sprinter Health:
At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year.
By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway.
About the Role
We're looking for an ML Engineer to build the production systems that train, deploy, monitor, retrain, and serve our machine-learning models reliably. You sit between software engineering, data engineering, and modeling, and you make ML work in the real world and stay working.
You will build training and inference pipelines, serve predictions through APIs and batch jobs, and stand up the monitoring that catches drift and silent degradation before they reach a patient or a partner. You will turn the models that scientists prototype into systems the company can depend on.
The ideal candidate thinks in systems rather than notebooks, knows what a model needs to become production-ready, and builds clean interfaces between data, models, and product.
Hybrid & Office Experience
We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days.
We care deeply about work-life balance and are happy to provide flexibility when life happens. We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most.
Lunch is provided every day, and the entire team takes an hour to eat together. It's one of the ways we stay connected outside of meetings. You'll usually find us playing a board game before getting back to work.
What you will do:
Production ML Systems
  • Build and harden training pipelines.
  • Package models for deployment.
  • Serve predictions through APIs or batch jobs with reliability in mind.
  • Maintain feature pipelines and keep features fresh and correct.
Reliability & Observability
  • Monitor drift, data quality, latency, cost, and performance.
  • Automate retraining and validation, and design safe rollback.
  • Prevent training-serving skew and silent model degradation.
Collaboration & Craft
  • Productionize models handed off from other teams.
  • Build clean interfaces between data, model, and product systems.
  • Implement reproducibility, versioning, and model-governance artifacts..

What you have done:
  • Strong Python and software-engineering fundamentals.
  • Experience with ML frameworks, data pipelines, and model serving.
  • Experience taking models from prototype to reliable production.
  • Cloud infrastructure, containers, CI/CD, and orchestration.
  • Monitoring and observability, plus reproducibility and versioning across data, features, and models.
  • Comfort with security and privacy controls for sensitive data.

What gives you an edge:
  • Background in backend engineering, data engineering, MLOps, or platform engineering.
  • Experience with feature stores or feature pipelines at scale.
  • Familiarity with healthcare data and PHI-aware systems

Interview Process:
  • We aim to complete the interview process between 2-3 weeks. It will usually consist of:
    • Recruiter Screen (30 minutes)
    • Hiring Manager Introduction (30 minutes)
    • Hands-on-Keys Technical Assessment (1 hour)
    • Onsite Interview: Systems Design / Technical Case Study + Research Presentation + Behavioral Interview + Lunch with the Team (4 hours)
    • References

What we offer:
  • Meaningful pre-IPO equity
  • Medical, dental, and vision plans 100% paid for you and your dependents
  • Flexible PTO + 10 paid holidays per year
  • 401(k) with match
  • 16-week parental leave policy for birthing parent, 8 weeks for all other parents
  • HSA + FSA contributions
  • Life insurance, plus short and long-term disability coverage
  • Free daily lunch in-office
  • Annual learning stipend