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Remote Open Source Jobs in Colorado (NOW HIRING)

Senior ML Engineer

Denver, CO · On-site +1

$107K - $147K/yr

Learn more on our blog or check out our open source projects. About the Role We're hiring a Senior ... Familiarity with RLHF or preference training is a bonus 📍 Location This is a remote-first role.

Scheduling Coordinator

Woodland Park, CO · On-site +1

$21 - $26/hr

Scheduling Coordinator - Remote Department: Scheduling and Dispatch Reports to: Install Scheduling ... Currently there is 1 open position available. RESPONSIBILITIES * Responsible for onboarding ...

Principal Software Engineer

Boulder, CO · On-site +1

$140K - $187K/yr

We believe the Open Web is the largest source of this information. * We believe in helping Open Web ... For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD ...

Editing Assistant

Denver, CO · On-site +1

$4.0K/mo

Open, all-candidate primaries increase participation, improve representation, and dampen ... Source media ingested, named, tagged, and organized into project structures so the lead editor can ...

Editing Assistant

Denver, CO · Remote

$4.0K/mo

Open, all-candidate primaries increase participation, improve representation, and dampen ... Source media ingested, named, tagged, and organized into project structures so the lead editor can ...

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Remote Open Source information

See Colorado salary details

$16

$29

$39

How much do remote open source jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for remote open source in Colorado is $29.10, according to ZipRecruiter salary data. Most workers in this role earn between $22.74 and $34.90 per hour, depending on experience, location, and employer.

What are some common challenges faced in remote open source roles and how can I overcome them?

Common challenges in remote open source roles include coordinating across time zones, managing asynchronous communication, and staying engaged with a globally distributed team. To overcome these, it’s important to develop strong written communication skills, regularly participate in project discussions or chat channels, and proactively seek feedback on your contributions. Leveraging project management tools, setting clear personal goals, and establishing a regular work schedule can also boost your productivity and integration with the community. By staying organized and engaged, you’ll be able to contribute effectively while building your reputation within the open source community.

What are the key skills and qualifications needed to thrive in the Remote Open Source position, and why are they important?

To thrive in a Remote Open Source role, you need strong programming skills, proficiency with version control systems (such as Git), and experience contributing to open source projects. Familiarity with open source collaboration platforms like GitHub or GitLab and, in some cases, knowledge of specific tech stacks or languages are highly valued. Excellent communication, self-motivation, and the ability to work independently across distributed teams are vital soft skills. These abilities help ensure effective collaboration, code quality, and sustained contributions to open source initiatives from a remote environment.

What is a Remote Open Source job?

A Remote Open Source job involves working on open-source projects while being geographically independent. These roles can range from software development and documentation to project management and community engagement. Employees or contributors collaborate with a global community, often using platforms like GitHub and communication tools like Slack or Discord. Many companies fund open-source work directly or hire developers to contribute to relevant projects.

What are the most commonly searched types of Open Source jobs in Colorado? The most popular types of Open Source jobs in Colorado are:
What cities in Colorado are hiring for Remote Open Source jobs? Cities in Colorado with the most Remote Open Source job openings:
Senior ML Engineer

Senior ML Engineer

Invoca

Denver, CO • On-site, Remote

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Senior ML Engineer

About Invoca

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.

About the Team

The Data Platform team owns the full ML lifecycle at Invoca, from model training and fine-tuning through inference optimization and production APIs. We move quickly, swarm on hard problems, and care deeply about code quality, reliability, and each other's growth. Learn more on our blog or check out our open source projects.

About the Role

We're hiring a Senior ML Engineer to own the productionization layer of Invoca's ML stack — model serving, inference optimization, fine-tuning, and the APIs and pipelines that tie it all together. You'll be a primary driver of the infrastructure powering our Context Engine and agentic AI workflows, working closely with Data Scientists, Data Engineers, and Applied AI Engineers.

Core Focus & Primary Ownership

  • Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts — including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack.
  • Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs for internal and external model access.

Broader Contributions

  • Fine-Tune Language Models: Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence.
  • Evolve ML Infrastructure: Contribute to model training infrastructure, data pipelines, and data lake foundations to keep the systems powering our models reliable and scalable.
  • Collaborate Across Teams: Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products.
  • Deliver Customer Value: Work with product and engineering to understand customer needs and ship ML solutions that make a measurable difference.

What You Bring

  • 5+ years of ML Engineering experience with a strong production focus
  • Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)
  • Demonstrated track record deploying and maintaining transformer-based NLP models in production
  • Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via quantization, batching, and throughput tuning
  • Proficiency with inference infrastructure: Triton, Baseten, vLLM, TGI, SageMaker, Vertex AI, or similar
  • Experience building production-grade APIs that expose ML models to downstream consumers
  • Familiarity with MLOps tooling, model monitoring, and eval platforms (Braintrust, MLflow, or equivalent)
  • B.S. in Computer Science, Engineering, Statistics, or equivalent; advanced degree a plus
  • Familiarity with RLHF or preference training is a bonus

📍 Location This is a remote-first role. We are currently hiring in the following locations: 📍

United States: Greater Los Angeles Area (including Santa Barbara and San Diego) · SF Bay Area · Denver Metro · Austin Metro · Chicago Metro · Greater NYC Area

Canada: Toronto (AI/ML technical roles only)

Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required.

Please note that we are unable to provide initial visa sponsorship for this position.

Salary, Benefits & Perks:

At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include:

Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations.

  • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
  • Paid Holidays – Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
  • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included.
  • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
  • Stock Options – All employees are invited to share in Invoca's success through stock options.
  • Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program.
  • Paid Family Leave – Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
  • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
  • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
  • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
  • Position Base Range - Salary Range $152,000 - $228,000 USD plus bonus + equity

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