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Senior Machine Learning Engineer Jobs in Westfield, NJ

Digital Turbine

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

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 ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY · On-site

$133K - $176K/yr

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team. If you're ...

Digitalturbine

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

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 ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY

$150K - $180K/yr

As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We generate hundreds of gigabytes of HVAC sensor data no one in the world has seen before, and your job ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $180K/yr

As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We generate hundreds of gigabytes of HVAC sensor data no one in the world has seen before, and your job ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $180K/yr

As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We generate hundreds of gigabytes of HVAC sensor data no one in the world has seen before, and your job ...

KARGO

Senior Machine Learning Engineer

New York, NY

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system--leading the design and production deployment of multimodal ML models ...

Kargo

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system-leading the design and production deployment of multimodal ML models ...

Alt

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

We're hiring a Senior Machine Learning Engineer who thrives on owning models end-to-end, from research through production. In this role, you'll own productization of Alt's pricing and underwriting ...

Kargo

Senior Machine Learning Engineer

Manhattan, NY · On-site

$150K - $175K/yr

The Opportunity Kargo is hiring a senior machine learning engineer to own the evolution of Finetouch, our creative scoring system-leading the design and production deployment of multimodal ML models ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Westfield, NJ

Senior Machine Learning Engineer information

See Westfield, NJ salary details

$60.1K

$127.9K

$185.4K

How much do senior machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior machine learning engineer in Westfield, NJ is $127,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $145,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Westfield, NJ are hiring for Senior Machine Learning Engineer jobs?

Cities near Westfield, NJ with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Westfield, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,857 per year, or $61.5 per hour.

Senior Machine Learning Engineer

Digital Turbine

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 6 days ago

Job description

At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers - intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.
Please note that Digital Turbine is a hybrid work environment-only candidates local to the posting location will be considered.
The Role
Digital Turbine 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.

About Digital Turbine:
Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world's leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization - connecting our partners to more consumers, in more ways, across more devices.
The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities around the world, serving top agency, app developer, and advertising markets.
We are honored to have achieved numerous awards as an employer of choice, around the world, including: BuiltIn's Best Places to Work Awards in 2022, 2023 and 2024, DUNS 100 Best Places to Work in Tech for 2023 and 2024, and BDICode's 100 Best Companies to Work in 2024.
Digital Turbine is an equal opportunity employer committed to exemplifying diversity and inclusion around the world. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building and continuously fostering this culture within our teams makes us better collaborators, partners, and innovators.
Digital Turbine will process the information you provide during the application process in accordance with the Digital Turbine Global Recruitment Privacy Notice.

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