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Remote Ran Optimization Engineer Jobs (NOW HIRING)

LifeMD

Director, Conversion Rate Optimization (CRO)

New York, NY · Remote

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At the heart of this transformation is our team of developers, engineers, and tech innovators ... A track record of measurable wins: you can speak concretely about tests you ran, effect sizes, and ...

Consensus Cloud Solutions

SEO Specialist

We offer many remote and hybrid career opportunities. How you will impact the organization... The ... Partner with developers to improve Core Web Vitals, PageSpeed performance, and mobile usability.

Skylo

Senior Network Reliability Engineer, Incident Management

$106K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

RAN, 5G Core, Cloud Infrastructure, and OSS, ensuring incidents are triaged, escalated, and ... Manage the open incident backlog at optimum levels: track ageing tickets, escalate stalled items ...

Corporate Tools

SEO Strategist

Post Falls, ID · On-site +1

$65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll work alongside developers, designers, and content creators who are eager to bring your ... This is a remote position. Our main office is in Spokane WA, and we have satellite offices in ...

Vineskills

Join the Filevine Optimization Team

Los Angeles, CA · Remote

$52K - $96K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About Vineskills Vineskills is a 100% remote, employee-owned team of 60+ legal tech experts focused ... You'll collaborate with data migration engineers to ensure clean, timely transfers of legacy data ...

Tinuiti

SEO Senior Strategist

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hate Waste. We support 100% remote work for this role! We'd love to hear from you if: Research ... Drive cross-functional collaboration with content teams, web developers, and digital marketers to ...

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Remote Ran Optimization Engineer information

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$40

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$81

How much do remote ran optimization engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote ran optimization engineer in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Remote Ran Optimization Engineer vs Radio Network Optimization Engineer?

AspectRemote Ran Optimization EngineerRadio Network Optimization Engineer
CredentialsTypically requires a degree in telecommunications, certifications like Nokia, Ericsson, or vendor-specific trainingSimilar credentials, often with certifications in radio network design and optimization
Work EnvironmentPrimarily remote, collaborating with teams across locations, using remote toolsUsually onsite or hybrid, with field visits for testing and adjustments
Industry UsageCommon in telecom providers, network vendors, and remote service providersUsed in telecom companies, network operators, and infrastructure firms

Both roles focus on optimizing radio networks, but the Remote Ran Optimization Engineer emphasizes remote work and virtual collaboration, while the Radio Network Optimization Engineer may involve more onsite activities. Both require similar technical skills and certifications, with the main difference being the work environment.

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Remote Ran Optimization Engineer jobs near you
Infographic showing various Remote Ran Optimization Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

Senior Principal Machine Learning Engineer - Optimization

PubMatic

Redwood City, CA • On-site, Remote

$153K - $211K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 26 days ago

Job description

Role: Hybrid in Redwood City, CA. (Will consider Remote for the right candidate)
Must have: Experience building large-scale prediction or optimization systems
PubMatic is the leading AI-powered ad tech company delivering measurable advertising performance through an intelligent, unified platform that connects buyers, publishers, data partners, and commerce media across CTV, mobile app, and omnichannel environments.
About the Role:
We are looking for a Senior Principal Machine Learning Engineer to help build the next generation of performance optimization capabilities for PubMatic's Activate platform.
This role is focused on applying machine learning, prediction, ranking, calibration, experimentation, and optimization techniques to improve campaign outcomes across performance advertising goals such as CTR, VCR, CPC, CPA, and ROAS. The ideal candidate has strong ML fundamentals and experience building large-scale production models or optimization systems.
What You'll Do:
  • Build and improve machine learning models for campaign optimization, prediction, ranking, bidding, forecasting, and calibration.
  • Develop models and algorithms that improve advertiser outcomes while balancing spend delivery, cost efficiency, campaign goals, marketplace dynamics, and system constraints.
  • Work on large-scale ML systems using signals from auctions, impressions, clicks, video events, conversions, users, context, inventory, campaigns, and marketplace feedback.
  • Design and improve CTR, CVR, VCR, CPA, ROAS, app-install, user-value, and campaign-performance models.
  • Develop bidding, pacing-aware optimization, ranking, exploration, and value-estimation approaches for performance advertising.
  • Improve model calibration, online/offline evaluation, experimentation, observability, and production feedback loops.
  • Reason through sparse conversions, delayed feedback, biased logs, cold-start campaigns, attribution noise, and online/offline metric mismatch.
  • Partner with performance advertising signal engineers to define model-ready features, labels, attribution windows, negative examples, training datasets, and online serving requirements.
  • Partner with engineering, product, analytics, and platform teams to translate model outputs into real-time decisioning systems.
  • Help evolve Activate from a media buying execution platform into a performance optimization platform.
  • Provide technical leadership and mentorship to engineers and applied scientists working on performance optimization problems.
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Preferred Experience:
    • Experience in ads, search, recommendations, marketplaces, e-commerce, fintech, pricing, bidding, or real-time optimization systems.
    • Experience with performance advertising goals such as CTR, VCR, CPC, CPA, ROAS, app install, retargeting, or user-value optimization.
    • Familiarity with real-time bidding, programmatic advertising, ad serving, attribution, pacing, identity, incrementality, or performance advertising.
    • Experience with exploration/exploitation, counterfactual evaluation, uplift modeling, delayed-feedback modeling, or learning under biased logs.
    • Experience with model calibration, model observability, A/B testing, online experimentation, incrementality testing, or lift measurement.
    • Experience working cross-functionally with product, engineering, analytics, and business stakeholders.

We'd love for you to have:
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Additional Information
Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.
Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.
Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
About PubMatic
PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.
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Compensation Disclosure
In accordance with applicable law, the below salary range provided is PubMatic's reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.
Total Compensation Range
$260,000-$330,000 USD

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