2

Remote Python Network Programming Jobs in Ogden, UT

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Experience with Python, Java, event-driven architecture and tools like Kafka * Experience working ...

next page

Showing results 1-20

Remote Python Network Programming information

See Ogden, UT salary details

$12

$57

$84

How much do remote python network programming jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for remote python network programming in Ogden, UT is $57.37, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.14 per hour, depending on experience, location, and employer.

What is a Remote Python Network Programmer?

A Remote Python Network Programmer is a software developer who specializes in building and maintaining networked applications using the Python programming language, while working from a remote location. Their work often involves creating scripts or applications to manage network connections, automate network tasks, handle data transfers, and interact with protocols such as HTTP, TCP/IP, and sockets. These professionals may work on cloud-based systems, APIs, or distributed applications, and are skilled in both Python and networking concepts. Remote roles allow them to collaborate with teams and manage network infrastructure from anywhere in the world.

What are the key skills and qualifications needed to thrive as a Remote Python Network Programmer, and why are they important?

To thrive as a Remote Python Network Programmer, you need strong proficiency in Python, a solid understanding of networking protocols, and experience with network programming concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Wireshark, libraries such as socket and asyncio, and knowledge of version control systems like Git are typically required. Exceptional problem-solving skills, self-motivation, and clear written communication are important soft skills for remote collaboration and troubleshooting. These abilities ensure reliable network solutions, efficient teamwork, and effective project delivery in distributed environments.

How does collaboration typically work for remote Python network programmers working with distributed teams?

Remote Python network programmers often collaborate closely with cross-functional teams using various communication and project management tools. Daily stand-ups, code reviews, and pair programming sessions are commonly conducted over video calls and chat platforms to ensure seamless integration of network applications. Clear documentation and version control (e.g., Git) play a crucial role in keeping everyone aligned, especially when troubleshooting network protocols or deploying updates. The remote setup requires strong self-management skills and proactive communication to address potential challenges, such as debugging network issues across different environments.

What is the difference between Remote Python Network Programming vs Remote Python Web Development?

AspectRemote Python Network ProgrammingRemote Python Web Development
Required SkillsNetworking protocols, socket programming, securityHTML, CSS, JavaScript, frameworks like Django or Flask
Work EnvironmentServer-side, backend infrastructure, network systemsFrontend and backend web applications, cloud hosting
Industry UsageTelecommunications, cybersecurity, cloud servicesE-commerce, media, SaaS platforms
CertificationsNetworking certifications (e.g., CCNA, CompTIA Network+)Web development certifications (e.g., Certified Web Developer)

Remote Python Network Programming focuses on building and maintaining network systems, protocols, and security, often requiring networking certifications. In contrast, Remote Python Web Development centers on creating web applications using Python frameworks, emphasizing frontend-backend integration. Both roles involve Python skills but serve different technical and industry needs.

Internship - Machine Learning Engineer

Internship - Machine Learning Engineer

Smule

Salt Lake City, UT • Remote

Other

Re-posted 19 days ago


Job description

Salary:

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.