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Senior Machine Learning Engineer

United States - New York

Live, first seen by us 85 days ago
Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design and deploy large-scale ML systems for ad ranking and bid optimization

  • Build and operate production ML pipelines that serve predictions at low latency

  • Optimize training and inference for compute efficiency, latency, and cost

  • Partner with Data Science, Data Engineering, and product teams to ship models

  • Run online experiments to validate model impact

From the employer’s posting
Design, build, and deploy large-scale ML systems for ad ranking, click-through and conversion prediction, bid optimization, and next-best-action recommendation.
Build and operate production ML pipelines — feature engineering, distributed training, deployment, retraining, and monitoring — that process billions of events and serve predictions at low latency.
Optimize training and inference for compute efficiency (CPU/GPU utilization), latency, and cost across distributed systems.
Partner closely with Data Science, Data Engineering, and product teams to ship models that move key business metrics
run rigorous online experiments to validate impact
Education & alternatives
- A record of shipping models that demonstrably improved product or business metrics (e.g., CTR, CVR, ROAS). - Master's or Ph.D. in CS, ML, or a related field, or equivalent practical experience. Nice to have
Apply at Digital Turbine

Posting record

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Status in our records
Live
First seen by us
Aug 16, 202685 days ago
Recorded sightings
64
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,383 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 85

Up longer than most. Similar jobs usually come down between day 7 and day 72.

From 4,777 similar postings that came down. Coming down is not always a hire.

Digital Turbine is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Scala
  • Databricks
  • Spark
  • PyTorch
  • TensorFlow
  • C++
Where the posting names them
- 8+ years building and deploying ML systems in production at scale, ideally in AdTech, recommender systems, search/ranking, or real-time bidding. - Strong software-engineering fundamentals — data structures, algorithms, system design — and proficiency in Python (plus Java, Scala, or C++ a strong plus). - Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, or JAX) and distributed data/compute systems (Spark, Beam/Dataflow, Flink, or similar).
- Experience with real-time, low-latency model serving and online learning. - Familiarity with Databricks / Unity Catalog, semantic layers, or feature platforms. - Experience with LLMs and agentic systems applied to audience insight or optimization.
- Strong software-engineering fundamentals — data structures, algorithms, system design — and proficiency in Python (plus Java, Scala, or C++ a strong plus). - Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, or JAX) and distributed data/compute systems (Spark, Beam/Dataflow, Flink, or similar). - Experience building robust ML pipelines: feature stores, data versioning, model monitoring, and automated retraining.

Your next step

Complete your application on digitalturbine.wd501.myworkdayjobs.com. The employer’s form will show what is required.

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About Digital Turbine

People
About 620 in 2026, down 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as APPS.

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 618, the most 1,131, and the latest week had 1,131.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

DT (NASDAQ: APPS) is unifying the full mobile experience. Our growth platform powers the mobile ecosystem by bringing together advertisers, app developers, and device partners, to create a unique and premium value exchange, that results in a personalized and seamless mobile device experience.


At DT, we move fast, think big, and build collaboratively. We believe great ideas can come from anywhere, and we trust our teams to take ownership, challenge convention, and make an impact from day one.


Here, you’ll have the opportunity to grow your career while contributing to products and experiences used by millions around the world.

With us, you will enjoy competitive compensation, equity awards, and a comprehensive benefits package designed to invest in your total well-being, all within a hybrid and flexible work environment.

The Role
 

DT is transforming from a distribution company into a data-intelligence company. At the center of that shift is our ML platform and the "Next Best Action" framework — the capability that lets every DT product activate user-level models in real time against our unified, first-party device-level data (the DT User Card).

As a Senior Machine Learning Engineer, you'll design and scale the ML systems behind ad ranking, bid optimization, recommendation, and user-level prediction across our demand and supply businesses — the DSP, offer wall, content media, notifications, and Ignite. You'll build the pipelines and serving infrastructure that turn our data advantage into measurable lifts in CTR, CVR, and ROI, and help DT show up as an AI-first company.


What you'll do

  • Design, build, and deploy large-scale ML systems for ad ranking, click-through and conversion prediction, bid optimization, and next-best-action recommendation.

  • Build and operate production ML pipelines — feature engineering, distributed training, deployment, retraining, and monitoring — that process billions of events and serve predictions at low latency.

  • Leverage the data assets from across the DT product portfolio to enable ML solutions that create decisioning in real time using the entire breadth of available features.

  • Optimize training and inference for compute efficiency (CPU/GPU utilization), latency, and cost across distributed systems.

  • Partner closely with Data Science, Data Engineering, and product teams to ship models that move key business metrics, and run rigorous online experiments to validate impact.

  • Stay current with applied ML research and bring innovative techniques to advertising, ranking, and audience modeling.


What you'll bring

  • 8+ years building and deploying ML systems in production at scale, ideally in AdTech, recommender systems, search/ranking, or real-time bidding.

  • Strong software-engineering fundamentals — data structures, algorithms, system design — and proficiency in Python (plus Java, Scala, or C++ a strong plus).

  • Hands-on experience with modern ML frameworks (PyTorch, TensorFlow, or JAX) and distributed data/compute systems (Spark, Beam/Dataflow, Flink, or similar).

  • Experience building robust ML pipelines: feature stores, data versioning, model monitoring, and automated retraining.

  • A record of shipping models that demonstrably improved product or business metrics (e.g., CTR, CVR, ROAS).

  • Master's or Ph.D. in CS, ML, or a related field, or equivalent practical experience.


Nice to have

  • Experience with real-time, low-latency model serving and online learning.

  • Familiarity with Databricks / Unity Catalog, semantic layers, or feature platforms.

  • Experience with LLMs and agentic systems applied to audience insight or optimization.

DT (NASDAQ: APPS) is a mobile growth platform that powers superior experiences and outcomes for advertisers, app developers, carriers, OEMs, and publishers worldwide.


Our technology connects brands and apps with consumers across devices, apps, and mobile environments — helping partners drive awareness, acquisition, engagement, and monetization through intelligent, integrated experiences.


Headquartered in Austin, Texas, DT operates globally across North America, EMEA, APAC, and LATAM.


DT is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome people of different backgrounds, experiences, abilities, and perspectives, and believe teams with different points of view build better products, ideas, and experiences.

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Location & working pattern

United States - New York

Here, you’ll have the opportunity to grow your career while contributing to products and experiences used by millions around the world. With us, you will enjoy competitive compensation, equity awards, and a comprehensive benefits package designed to invest in your total well-being, all within a hybrid and flexible work environment. The Role
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