- 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.
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.
Explore Get A Job.ai online
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 Caution — via 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: 196,000 — via FRED
GDP per capita in US: $90,027 — via 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: 1,800 — via 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
- I was a software engineer who couldn't get excited about AI. Now I'm studying to be a nurse. - Business Insider
- ‘AI code apocalypse’ hasn’t hit engineers as hard as the industry may think - itbrew.com
- The Great Coding Reset: How AI is changing software engineering - Business Insider
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Computer & Mathematical occupations earn a national median of $98,769 — via 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.
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.
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.
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Occupation family: Machine Learning Engineer
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