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Remote Slot Machine Tester Jobs in Massachusetts

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

Implement monitoring, alerts, and testing of data pipeline performance, data quality metrics, and ... Support deployment and operationalization of machine learning models by integrating pipelines with ...

Backend Engineer/FullStack

Cambridge, MA · On-site +1

$140K - $220K/yr

Contribute to development infrastructure including CI/CD, testing frameworks, and code quality ... Remote work stipend * Generous PTO Next Steps If you're interested in working on challenging ...

We are a remote-first company, and for the folks that like to meet in person, we have offices in ... Build strong engineering habits: thoughtful code reviews, solid testing, incident readiness, and ...

Software Engineer

Chelmsford, MA · On-site +1

$105K - $142K/yr

Ensure reliable and high-quality software through development and automated testing best practices ... Familiarity with Machine Learning. * Familiarity with Python, JavaScript, MATLAB, or similar ...

Senior Software Engineer - File System

Boston, MA · On-site +1

$133K - $175K/yr

Mentor engineers and raise the quality bar for systems design, code quality, testing, and ... Strong written communication skills for design docs, reviews, remote collaboration, and operational ...

Showing results 21-40

Remote Slot Machine Tester information

What is the difference between Remote Slot Machine Tester vs Remote Casino Game Tester?

AspectRemote Slot Machine TesterRemote Casino Game Tester
CredentialsBasic gaming knowledge, sometimes certifications in testingSimilar credentials, often requiring knowledge of casino regulations
Work EnvironmentRemote, testing digital slot machine softwareRemote, testing various casino games including slots, table games
Industry UsagePrimarily in gaming software companies and online casinosIn online casinos, gaming developers, and testing agencies
Comparison Search IntentHigh overlap, both test casino gaming software remotely

Remote Slot Machine Testers and Remote Casino Game Testers share similar roles, focusing on testing digital casino games remotely. While slot machine testers specialize in slot game software, casino game testers may evaluate a broader range of games. Both roles require gaming knowledge and often similar certifications, working within the online gaming industry to ensure game quality and fairness.

What job categories do people searching Remote Slot Machine Tester jobs in Massachusetts look for? The top searched job categories for Remote Slot Machine Tester jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Slot Machine Tester jobs? Cities in Massachusetts with the most Remote Slot Machine Tester job openings:
Infographic showing various Remote Slot Machine Tester job openings in Massachusetts as of June 2026, with employment types broken down into 79% Full Time, 12% Part Time, 1% Temporary, and 8% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Algorithm Engineer

Beacon Biosignals

Boston, MA • On-site, Remote

$150K - $170K/yr

Full-time

PTO

Re-posted 9 days ago


Job description

Beacon Biosignals is seeking a Machine Learning engineer! 

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain the machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development.

At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and-most of all-a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris.

What success looks like

  • Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation.
  • Select, implement, and develop the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective.
  • Enhance our internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation.
  • Spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing.
  • Present results to key stakeholders and assist them in utilizing algorithms for client engagement.
  • Support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development.

What you will bring

  • You have more than 4 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a proven track record of bringing algorithms into production.
  • You are experienced with digital signal processing (DSP) and statistics and care about using the right tool for the job, which in many cases might not be machine learning or deep learning.
  • You are proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models.
  • You are familiar with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...)
  • You follow and adopt best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
  • You are familiar with biosignals, medical imaging data, or large time-series datasets,  or are enthusiastic about learning more in the domain.
  • You thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success.
  • You are able to distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally.
  • You are excited to participate in the entire algorithm development lifecycle, which spans scoping, data wrangling, algorithm development/experimentation, formal validation, quality/regulatory documentation, production deployment, and working with clients who might benefit from these algorithms.

The US-based salary range for this role is $150,000 - $170,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.

At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.

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