Loading...

Machine Learning Engineer

  • Company: Get A Job.ai
  • Location: USA
  • Salary: Pay not listed
  • Work type: Remote

Website Get A Job.ai

Represented by Get A Job.ai

About This Opportunity

We are representing a confidential client in the mobile advertising technology space, seeking a Machine Learning Engineer to join their Revenue Engine team. This team focuses on understanding marketplace economics, including demand elasticity and competitive dynamics in the programmatic advertising ecosystem.

Our client operates a performance-focused platform serving thousands of mobile app businesses globally. This is a remote-first role with a preference for candidates based in California, though other US locations will be considered.

Responsibilities

  • Build statistical models and production systems that balance advertiser performance with strategic business objectives
  • Tune optimization parameters, measure internal competitive dynamics, and model complex marketplace environments
  • Design and execute experiments to validate economic and behavioral theories in the mobile ad tech economy
  • Develop machine learning applications for advertiser budget retention, growth optimization, margin allocation, and bidding strategies
  • Collaborate with cross-functional teams including engineering, operations, and go-to-market stakeholders
  • Communicate statistical and machine learning concepts effectively to both technical and non-technical audiences
  • Contribute to an engineering excellence culture through modern tooling, rigorous testing, explainable systems, and thorough code review processes

What We're Looking For

  • PhD in Computer Science, Machine Learning, Economics, or a related quantitative field
  • Industry experience applying economics or machine learning techniques to large-scale production problems
  • Strong engineering fundamentals and coding proficiency
  • Excellent written and verbal communication skills with demonstrated ability to collaborate across teams
  • Experience in ad tech is a significant plus
  • Ability to travel quarterly for team gatherings, project meetings, and company events

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.

Pay

Pay via Get A Job.ai will be competitive and commensurate with experience and location. Our client offers a comprehensive compensation package including equity and full health, vision, and dental benefits.

Get A Job.ai is an equal opportunity employer committed to building diverse and inclusive teams. We welcome applicants of all backgrounds regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by law.

Apply with Get A Job.ai

A recruiter will review your profile and submit you to the client. Do not contact the client directly.

More options

Apply with Get A Job.ai

Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.

Apply through Get A Job.ai. A recruiter will review your profile and submit you.

Terms used in this posting

equity
Ownership stake in the company, usually in the form of stock options or RSUs, offered in addition to salary.
remote-first
The company is organized around remote work as the default, rather than treating it as an occasional exception to in-office work.

Working in USA

The United States of America (USA), also known as the United States (U.S.) or America, is a country primarily located in North America. It is a federal republic consisting of 50 states and a federal capital district, Washington, D.C. The 48 contiguous states border Canada to the north and Mexico to the south, with the semi-exclave of Alaska in the northwest and the archipelago of Hawaii in the Pacific Ocean. The United States also asserts sovereignty over five major island territories and various uninhabited islands in Oceania and the Caribbean. It is a megadiverse country, with the world's th

🇺🇸 Relocation safety for US: Exercise Normal Cautionvia Warnely, CC BY 4.0

National unemployment rate in US: 4.2%via World Bank

National job openings rate: 4.4%via BLS JOLTS

Private-sector wage growth (year over year): 3.1%via FRED

National quits rate: 2.0%via FRED (BLS JOLTS)

Weekly initial unemployment claims: 196,000via FRED

GDP per capita in US: $90,027via World Bank

Consumer price inflation in US: 2.9% (annual) — via World Bank

Real GDP growth in US: 2.2% (annual) — via World Bank

Average hours worked per year in US: 1,800via OECD

    About this role & career path

    Traits that fit this role

    • Innovation
    • Adaptability
    • Perseverance
    • Achievement Orientation
    • Intellectual Curiosity

    Source: O*NET Work Styles (Distinctiveness Rank).

    Typical preparation needed: Job Zone 5: Extensive Preparation Needed. Most of these occupations require graduate school -- for example, a master's degree, and some require a Ph.D., M.D., or J.D. — via O*NET

    Industry news

    Source: O*NET (public-domain bulk data)

    Salary & compensation

    Workers in Computer & Mathematical occupations earn a national median of $98,769via US Census ACS / Data USA

    Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.

    Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.

    Add application deadline to calendar

    Listing facts

    • Role Machine Learning Engineer
    • Employer Get A Job.ai
    • Location USA · Remote-friendly
    • Type Full Time
    • Pay (from listing) Pay not listed
    • Posted September 21, 2026
    • Apply by October 21, 2026
    • Country United States
    • Overview Full job description on this page (385 words)

    Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

    Typical work in Machine Learning Engineer

    Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

    • Analyze problems to develop solutions involving computer hardware and software.
    • Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
    • Assign or schedule tasks to meet work priorities and goals.
    • Meet with managers, vendors, and others to solicit cooperation and resolve problems.
    • Design computers and the software that runs them.
    • Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.

    Source: O*NET

    Limited public data for this employer

    We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.

    Explore related openings

    Occupation family: Machine Learning Engineer

    Keep exploring on Get A Job.ai

    Not quite the right fit? Your next opportunity is a click away.

    Hiring instead? Post a job and reach candidates searching right now.

    Machine Learning Engineer Get A Job.ai · USA