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Open Source Programmer Jobs in Sandy, UT (NOW HIRING)

Atria Group LLC

Software Engineer - Java

Salt Lake City, UT · On-site

$50 - $68.75/hr

Our company provides application analysis, design, development and programming, software ... open source technologies Analyzes and addresses requirements in product design Estimates work ...

Jobtailor

Senior Data Platform Engineer

Lehi, UT · On-site

$150 - $200/hr

... or Databricks, and open-source data tooling contributions are strong nice-to-haves Core ... Data Platform Engineering * Go Programming * Apache Spark * Terraform * Kubernetes Hard Skills

New

Jobsbridge

Senior iOS Developer

Lehi, UT · On-site

$56.25 - $73/hr

Contributed to video open source projects libav, x264, FFmpeg. Additional Information Multiple Openings for GC/Citizen

Pwc

AI Engineer

Salt Lake City, UT · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... using open-source software - Applying natural language processing techniques in real-world ...

Lightspeed DMS

Software Engineer - AI

South Jordan, UT · On-site

We're seeking Software Engineers - AI who are passionate about leveraging artificial intelligence ... Contributions to open-source projects or technical blog posts demonstrating AI-assisted development ...

ClearCompanies

Agile Coach

Salt Lake City, UT · On-site

$60 - $80/hr

... open source software industries. Everyone on the team has also helped build and grow charities or ... and engineers alike Experience working with geographically dispersed team Scrum Master ...

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All JobsOpen Source Programmer JobsOpen Source Programmer Jobs in Sandy, UT

Open Source Programmer information

See Sandy, UT salary details

$11

$37

$65

How much do open source programmer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for open source programmer in Sandy, UT is $37.57, according to ZipRecruiter salary data. Most workers in this role earn between $24.42 and $48.89 per hour, depending on experience, location, and employer.
Infographic showing various Open Source Programmer job openings in Sandy, UT as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $78,144 per year, or $37.6 per hour.

Internship - Machine Learning Engineer

Salt Lake City, UT • On-site

Smule
11 - 50 employees
Learn more about Smuleexternal

$125 - $150/hr

Other

Re-posted 8 days ago

Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.

About the Role:

We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in production at Smule, from training and optimization through deployment, monitoring, and iteration. You will work closely with research scientists to bring models off the bench and into scalable, reliable systems that serve millions of users. The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a passion for reliability, and an eye for performance.

We strongly encourage candidates with non-traditional backgrounds to apply. If your path into ML engineering came through backend systems, DevOps, audio software, data engineering, or another field, we want to hear from you.

What You'll Be Doing:
  • Design, build, and maintain production ML pipelines encompassing data ingestion, feature engineering, model training, evaluation, and deployment.
  • Optimize models for production constraints including latency, throughput, memory footprint, and cost, using techniques such as quantization, distillation, pruning, and efficient serving architectures.
  • Implement robust monitoring, alerting, and observability for deployed models, covering data drift, prediction quality, and system health.
  • Collaborate with research scientists to integrate new model architectures and training techniques into production systems with minimal friction.
  • Build and improve CI/CD pipelines for ML, including automated testing, validation gates, and staged rollouts.
  • Manage compute infrastructure and costs, making informed tradeoffs between performance, reliability, and budget.
What We're Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong proficiency in Python and experience with deep learning serving (TorchServe, Triton, vLLM, or equivalent).
  • Solid understanding of systems engineering: networking, storage, containerization, orchestration, and monitoring.
  • Ability to reason about tradeoffs between latency, throughput, cost, and model quality.
Bonus Points For:
  • Experience serving large language models or other generative models at scale.
  • Familiarity with audio/music processing pipelines and real-time inference constraints.
  • Experience with Bayesian optimization, bandit algorithms, or adaptive experimentation platforms.
  • Contributions to open-source ML infrastructure projects.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.

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