Jobs in the United States

25+ jobs

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Added 7 mins ago
Staff - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
Track the frontier of AI/ML research and translate advances into practical guidance for the team.
Added 9 mins ago
Graduate Software Engineering Intern
Emerson
Round Rock, TX
You will explore and prototype software technology in the process industries, execute a project in AI, Machine Learning, or Control, be a part of a cross-functional team with frontend…
Added 10 mins ago
2027 Summer Corporate Intern - Engineering
Caterpillar, Inc.
San Antonio, TX · Fort Worth, TX
…especially Python; apply knowledge of data analytics/data science, machine learning concepts/tools, and engineering and statistics…
Added 10 mins ago
Human Factors Engineer (HFE)
The MITRE Corporation
San Antonio, TX
As a Senior HFE at MITRE, you will apply and expand your expertise across UX, UI, front-end engineering, and human-machine teaming while contributing to meaningful projects supporting…
Added 22 mins ago
Research Engineer 6 - TL, Messaging Algorithms
Netflix
Los Gatos
10+ years of experience applying machine learning in an industry setting, with a track record of delivering impactful production systems
Added 37 mins ago
I
Senior Machine Learning Engineer, Agentic Context Retrieval and Search (Nova)
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer on Nova, you'll lead context retrieval and search. The goal is agent responses that are grounded in evidence, aware of the customer's context, and…
Added 37 mins ago
I
Senior Machine Learning Engineer, Agentic Evals and Self-Improvement (Nova)
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer on Nova, you'll lead evaluation and automatic optimization for Nova's models and agents. That means measuring how they perform, finding where they…
Added 37 mins ago
I
Senior Machine Learning Engineer, Nova Intelligence
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing…
Added 1 hour ago
BD
Senior Staff ML Engineer, Spot
Boston Dynamics, Inc.
United States
- $175,000 to $215,000 USD / year
In this role, you will have the opportunity to design, build, and continuously improve Orbit’s machine learning systems.
Added 1 hour ago
Data and ML Engineer
Booz Allen Hamilton_United States
McLean, VA
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 1 hour ago
Platform and Data Engineer
Booz Allen Hamilton_United States
Honolulu, HI
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 1 hour ago
Staff Software Engineer, Google Ads, Full Stack
Google
New York, NY
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 1 hour ago
Super Intelligence Platform Integration Engineer
LLNL
Livermore, CA
Experience supporting machine learning or LLM-based applications in production environments.
Added 1 hour ago
Machine Learning Engineer, AI/ML Model Quality
Apple
Austin, TX · Cupertino, CA · New York City, NY · San Diego, CA
We are defining what exceptional data quality looks like for machine learning across Wallet, Payments, and Commerce. As a Machine Learning Engineer, AI/ML Model Quality, you will build and…
Added 1 hour ago
O
Applied AI Engineer, Enterprise - EDU
OpenAI
San Francisco, CA · New York, NY
- $251,000 to $278,000 USD / year
- Have personally designed, built, and shipped AI or machine-learning systems in enterprise environments, taking them from prototype to production and making substantial contributions…
Added 1 hour ago
O
Applied AI Engineer, Enterprise - Healthcare Life Sciences (HLS)
OpenAI
San Francisco, CA · New York, NY
- $251,000 to $278,000 USD / year
- Have personally designed, built, and shipped AI or machine-learning systems in enterprise environments, taking them from prototype to production and making substantial contributions…
Added 1 hour ago
Software Engineer III | Security
ExtraHop
Seattle, WA
…packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in…
Added 2 hours ago
Research Engineer, Agentic Infrastructure, liftlab - Stanford Law School
Stanford
Stanford, CA
Working knowledge of research design, statistics, and machine learning sufficient to implement and test computational methods in collaboration with researchers.
Added 2 hours ago
Director - Network Infrastructure Security & Engineering
Employment Application
IL
Artificial Intelligence, Machine Learning, Data Science, or related field
Added 2 hours ago
C
Software Engineer Data & AI II (Full Time) – United States
Cisco
San Jose, CA
- Full-time
You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning…
Added 2 hours ago
Staff - Forward Deployed Engineer
GSK
Philadelphia, PA
Track the frontier of AI/ML research and translate advances into practical guidance for the team.
Added 2 hours ago
FE
AI Engineer I
Federal Express Corporation
Plano, TX
- $7,882.48 to $10,444.28 USD / month
Summary: The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation,…
Added 2 hours ago
FE
AI Engineer III
Federal Express Corporation
Plano, TX
- $9,719 to $13,812 USD / month
The AI Engineer III is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation,…
Added 2 hours ago
HC
Senior Controls Engineer
Heirloom Carbon
Brisbane, CA
- $145,000 to $185,000 USD / year
As a Senior Controls Engineer at Heirloom, you’ll be responsible for developing industrial automation solutions that support our research, engineering, and scaled commercial deployments.…
Added 2 hours ago
Machine Learning Engineer
Amazon.com Services LLC
Seattle, WA · Arlington, VA · New York, NY
You'll work closely with machine learning and NLP research scientists to optimize model performance and ML infrastructure, from training pipelines to real-time serving. You'll deliver…

Iterable

Senior Machine Learning Engineer, Nova Intelligence

Remote, United States

$150,000 to $250,000 USD / year

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Job details

Pay: $150,000 to $250,000 USD / year
Experience: 5+ years of hands-on MLE experience putting complex models into production at scale.
Posting language: English
Posted: Nov 6, 2026

Original job description

Iterable is the AI customer engagement platform, built for enterprise scale, loved by teams, and trusted by global brands like Redfin, SeatGeek, Priceline, Calm, and Box. Our platform empowers organizations to activate customer data from any source, design seamless cross-channel experiences, and optimize engagement with Nova Intelligence, the AI layer of our platform, all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.

Our success is powered by extraordinary people who bring our core values to life every day: Be an Owner, Growth Mindset, Run as One, and Transparency. And the market has noticed: G2 recognizes Iterable as a Leader globally, spanning the Americas, EMEA, APAC, ANZ, and Latin America, with category leadership in Personalization, Marketing Automation, Push Notifications, and Mobile Marketing, and a 4.5/5-star rating from hundreds of users. Gartner named Iterable a Challenger in the Gartner Magic Quadrant for Multichannel Marketing in both 2024 and 2025. We’ve also earned TrustRadius Top Rated honors in 2024 and 2025, were named a TrustRadius Buyer’s Choice for 2026, and were featured in Snowflake’s Modern Marketing Data Stack 2026.

With a global presence that includes offices in San Francisco, Denver, London, Sydney, and Lisbon, plus remote employees worldwide, we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture https://iterable.com/culture/ and About Us https://iterable.com/company/ pages. Let’s shape the future of customer engagement together!

Location: US

As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing platform, we work with thousands of large-scale and diverse enterprise customers. The scale and diversity of these workloads - supporting personalization with deep customizability - present unique and exciting challenges for machine learning at production scale.

You will have real autonomy: from research and experimentation through to models running reliably in production, you'll own the systems and models behind our ML products and help shape the direction of AI at Iterable.

One of our core values is a growth mindset, and Iterable is a company where everyone can grow. If this role excites you, please apply - we value applicants for the skills they bring beyond a job description.

WHAT YOU'LL DO

Build and ship core product ML capabilities, including send-time/frequency optimization, recommendation engines, and campaign personalization.
Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation (e.g., multi-armed bandits, ensemble models).
Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.
Partner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team.
Mentor engineers on the team and help set the technical direction for ML at Iterable.

WHAT WE'RE LOOKING FOR

5+ years of hands-on MLE experience putting complex models into production at scale.
Databricks & Spark mastery: Real experience building, optimizing, and scaling production data pipelines using Databricks.
Production-level Model Engineering: Proven track record of taking deep learning and ensemble architectures from training through optimization to production deployment.
Production Code: Strong Python and/or Scala skills with an emphasis on readable, modular, and maintainable systems code.
Systems & Infra Experience: Hands-on work with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes).
Pragmatism: You care more about serving latency, reliability, and measurable customer impact than novel theoretical architectures.

BONUS POINTS:

Prior work on large-scale recommendation systems.
Experience setting up feature stores or model observability tools.
Exposure to Infrastructure-as-Code (Terraform, Pulumi).

YOU MIGHT WORK ON

Building, evaluating, and integrating new models that add intelligence into our core product.
Enhancing models that optimize send time and frequency of outgoing message campaigns.
Designing data pipelines that make it easy to implement and test new models.
Working with platform engineers to enhance our feature- and model-serving architecture.
Benchmarking and improving our multi-armed bandit implementation.
Building tools to visualize and debug features and models.

________________________________________________________________

Recruitment Disclaimer:

Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:

Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.

You may see all job vacancies on our official Iterable channels:

Official Iterable website, Careers page: https://iterable.com/careers/
Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/

Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.

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Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.

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