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Remote Rf Optimization Engineer Jobs in Irvine, CA

Senior ML Engineer

Anaheim, CA ยท On-site +1

$109.40K - $150.20K/yr

Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via ... Familiarity with RLHF or preference training is a bonus ๐Ÿ“ Location This is a remote-first role.

Senior Civil Engineer - Level 4

Irvine, CA ยท On-site +1

$145K - $170K/yr

Remote SENIOR CIVIL ENGINEER LEVEL 4 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine ... Oversee grading optimization strategies, site layout refinement, and cut/fill balance planning to ...

Software Engineer, ROS Developer

Irvine, CA ยท On-site +1

$70K - $300K/yr

You will focus on designing, implementing, and optimizing perception, localization, and control ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Software Engineer, ROS Developer

Irvine, CA ยท On-site +1

$70K - $300K/yr

You will focus on designing, implementing, and optimizing perception, localization, and control ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Data Engineer (Remote)

Irvine, CA ยท Remote

$115K - $150K/yr

We're seeking a junior to mid-level Data Engineer to join our small but mighty team ... This role is all about building and optimizing ETL workflows in Snowflake using Snowpark , managing ...

Senior Data Engineer (Remote in CA)

Santa Ana, CA ยท Remote

$110.30K - $149.80K/yr

You will help FA Trust's Data Engineering team make real-time decisions based on the datasets ... optimizing data delivery, and re-designing infrastructure for greater scalability, etc. * Build and ...

... optimizing the backend infrastructure that powers our video streaming services. This includes ... Position is office based in Irvine, CA or Philadelphia, PA,- 4 days on-site & 1 day remote. Java ...

... optimizing the backend infrastructure that powers our video streaming services. This includes ... Position is office based in Irvine, CA or Philadelphia, PA,- 4 days on-site & 1 day remote. Java ...

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Showing results 1-20

Remote Rf Optimization Engineer information

See Irvine, CA salary details

$39.7K

$126.3K

$196.4K

How much do remote rf optimization engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote rf optimization engineer in Irvine, CA is $126,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $149,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote RF Optimization Engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by Remote RF Optimization Engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is a Remote RF Optimization Engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What are popular job titles related to Remote Rf Optimization Engineer jobs in Irvine, CA? For Remote Rf Optimization Engineer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Remote Rf Optimization Engineer jobs in Irvine, CA look for? The top searched job categories for Remote Rf Optimization Engineer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Remote Rf Optimization Engineer jobs? Cities near Irvine, CA with the most Remote Rf Optimization Engineer job openings:
Infographic showing various Remote Rf Optimization Engineer job openings in Irvine, CA as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,317 per year, or $60.7 per hour.
Senior ML Engineer

Senior ML Engineer

Invoca

Anaheim, CA โ€ข On-site, Remote

$109.40K - $150.20K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 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 โ€” 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 โ€” 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

๐Ÿ“ Location This is a remote-first role. We are currently hiring in the following locations: ๐Ÿ“

United States: Greater Los Angeles Area (including Santa Barbara and San Diego) ยท SF Bay Area ยท Denver Metro ยท Austin Metro ยท Chicago Metro ยท 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 โ€“ 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 โ€“ 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 โ€“ 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 โ€“ Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
  • Stock Options โ€“ All employees are invited to share in Invoca's success through stock options.
  • Mental Health Programโ€“ Well-being support on a broad range of issues is available through our SpringHealth program.
  • Paid Family Leave โ€“ Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
  • Paid Medical Leave โ€“ Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
  • InVacation โ€“ As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
  • Wellness Subsidy โ€“ 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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