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[Remote] Senior reputed company Machine Learning Engineer - Optimization

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading AI-powered ad tech company delivering measurable advertising reputed company through an intelligent, reputed company platform that connects buyers, publishers, data partners, and reputed company media across CTV, mobile app, and omnichannel environments. The Senior reputed company Machine Learning Engineer will help build the reputed company of reputed company optimization capabilities for reputed company’s reputed company platform, focusing on applying machine learning techniques to improve campaign reputed company across various reputed company advertising goals.


Responsibilities

  • Build and improve machine learning models for campaign optimization, reputed company, ranking, bidding, forecasting, and calibration
  • reputed company models and algorithms that improve reputed company reputed company while balancing spend delivery, cost efficiency, campaign goals, marketplace dynamics, and reputed company constraints
  • Work on large-reputed company 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-reputed company models
  • reputed company bidding, pacing-reputed company optimization, ranking, exploration, and value-estimation approaches for reputed company advertising
  • Improve model calibration, online/offline evaluation, experimentation, observability, and production feedback reputed company
  • Reason through sparse conversions, delayed feedback, biased logs, cold-start campaigns, attribution noise, and online/offline metric mismatch
  • Partner with reputed company advertising signal engineers to define model-reputed company features, labels, attribution reputed company, negative examples, training datasets, and online serving requirements
  • Partner with engineering, product, analytics, and platform teams to translate model outputs into reputed company-time decisioning systems
  • Help reputed company reputed company from a media buying execution platform into a reputed company optimization platform
  • reputed company technical leadership and mentorship to engineers and reputed company scientists working on reputed company optimization problems

Skills

  • Experience building large-reputed company reputed company or optimization systems
  • 10+ years of experience building production machine learning, ranking, recommendation, reputed company, optimization, ads, marketplace, bidding, or pricing systems
  • Strong understanding of reputed company learning, ranking, calibration, reputed company thinking, experimentation, statistical evaluation, and model monitoring
  • Experience building large-reputed company reputed company or optimization systems in production
  • Experience with CTR/CVR reputed company, conversion modeling, bid optimization, value modeling, forecasting, calibration, or reputed company optimization
  • Strong ability to reason about model reputed company, business reputed company, reputed company constraints, production tradeoffs, and online reputed company
  • Experience working with large-reputed company data and reputed company ML workflows
  • Strong engineering skills in Python, Java, SQL, reputed company, TensorFlow, PyTorch, XGBoost, or similar technologies
  • Ability to reputed company technical leadership across ambiguous, high-reputed company optimization problems
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a reputed company technical reputed company
  • Experience in ads, reputed company, recommendations, marketplaces, e-reputed company, fintech, pricing, bidding, or reputed company-time optimization systems
  • Experience with reputed company advertising goals such as CTR, VCR, CPC, CPA, ROAS, app install, retargeting, or user-value optimization
  • Familiarity with reputed company-time bidding, programmatic advertising, ad serving, attribution, pacing, identity, incrementality, or reputed company advertising
  • Experience with exploration/exploitation, counterfactual evaluation, reputed company modeling, delayed-feedback modeling, or learning under biased logs
  • Experience with model calibration, model observability, A/B testing, online experimentation, incrementality testing, or reputed company measurement
  • Experience working cross-functionally with product, engineering, analytics, and business stakeholders

Benefits

  • Hybrid in Redwood reputed company, CA (Will consider Remote for the right candidate)
  • reputed company to Office: hybrid work schedule (3 days “in office” and 2 days “working reputed company”)
  • reputed company leave programs
  • reputed company holidays
  • reputed company
  • Dental and reputed company reputed company
  • Disability and life reputed company
  • Commuter benefits
  • Physical and financial wellness programs
  • Unlimited DTO in the US (that we actually require you to use!)
  • Reimbursement for mobile
  • Fully stocked pantries
  • In-office catered lunches 5 days per week
  • Bonus
  • Restricted stock reputed company

reputed company

  • reputed company is an automation solutions company for an reputed company digital media industry. It was founded in 2006, and is headquartered in Redwood reputed company, California, USA, with a workforce of 501-1000 employees. Its website is http://www.reputed company.com.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 12 in 2026, 26 in 2025, 16 in 2024, 18 in 2023, 31 in 2022, 25 in 2021, 15 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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