Jobs in the United States

25+ jobs

Save this search

Added just now
ECAD Application Engineer, Design Technologies
Amazon.com Services LLC
Sunnyvale, CA · Redmond, WA
As an Electrical CAD (ECAD) Application Engineer, you will be responsible for providing a stable, performant and reliable set of best-in-class software tools for hardware engineers. You…
Added 1 min ago
Staff Cloud Engineer, ML Ops
Modernizing Medicine, Inc.
Boca Raton, FL
As a Staff MLOps Engineer at Modernizing Medicine, you’ll help bridge the gap between data science, machine learning engineering, and production systems. You’ll lead efforts to establish…
Added 1 min ago
Staff Engineer, Databricks Platform
Modernizing Medicine, Inc.
Boca Raton, FL
We are seeking a hands-on Senior/Staff Data Platform Engineer to own and evolve our established Databricks platform on AWS. The platform supports mission-critical data, analytics, and AI…
Added 2 mins ago
PA
Super SWE
P-1 AI
Remote, United States
- $200,000 to $275,000 USD / year
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and…
Added 2 mins ago
PA
Super SWE - AI Factory
P-1 AI
Remote, United States
- $200,000 to $275,000 USD / year
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and…
Added 7 mins ago
Staff Security Engineer
Mixpanel
San Francisco, CA
Mixpanel's Information Security & Risk Management (ISRM) team is hiring a Staff Security Engineer to partner with our product and engineering teams on how we build and run Mixpanel…
Added 7 mins ago
Physical Design and CAD Engineer
Astera Labs
San Jose, CA · CA
As a Physical Design & CAD Engineer, you will serve as a Technical Lead developing Astera Labs’ next-generation connectivity ASICs for cloud and AI infrastructure.
Added 10 mins ago
Senior Security Firmware Engineer, Data Center Systems
NVIDIA USA
Remote, United States
…including DGX, HGX, and MGX platforms, deliver the world's leading infrastructure for AI at scale. We are growing our teams with the most thoughtful, creative, and driven people on the…
Added 10 mins ago
Senior System Software Engineer - Factory Bringup
NVIDIA USA
Remote, United States
NVIDIA HGX, MGX and DGX systems deliver the world's leading solutions for enterprise AI infrastructure at scale. With their end-to-end performance and flexibility, these systems enable…
Added 10 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 10 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 12 mins ago
AI Automation Engineer
Experis USA
Bethesda, MD
Our client, AI & Digital Enablement is seeking a AI Automation Engineer to join their team. As a AI Automation Engineer, you will be part of the AI and Digital Enablement team supporting…
Added 15 mins ago
IT Offensive Security Engineer III (Must Reside in Texas)
Randolph-Brooks Federal Credit Union
United States
Randolph-Brooks Federal Credit Union is currently searching for an experienced and talented Offensive Security Engineer III to join our amazing IT Security team!
Added 16 mins ago
Senior Software Engineer
FlightSafety International Inc
Seattle, WA
As a Senior Software Engineer on the CLM - IAM Integrations team, you are responsible for building and maintaining key features that are integral to our customers and business. You are a…
Added 18 mins ago
CL
Platform Architect
Cooley LLP
NY · Washington, DC · CO
- $175,000 to $250,000 USD / year
…Databricks Apps, Genie, Databricks Lakebase, and model serving infrastructure, making architectural recommendations on adoption timing and integration…
Added 18 mins ago
PA
Growth Associate (Contract, Remote)
Patronus AI, Inc.
Remote, United States
- $50 to $125 USD / hour
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s…
Added 20 mins ago
T
Network Engineer
TEKsystems
Knoxville, TN
- $35 to $50 USD / hour
DescriptionOur client is seeking a Network Engineer to support ongoing network lifecycle refresh initiatives. This role is responsible for configuring and preparing Cisco network…
Added 22 mins ago
Principal Software Engineer (Remote)
8th Light
United States
Built and shipped production-grade platforms: the reusable foundations, tools, infrastructure, and workflows that help other teams shift faster and more reliably
Added 22 mins ago
Lead Software Engineer (Remote)
8th Light
United States
Added 26 mins ago
O
Senior Site Reliability Engineer
Oracle
United States
- $81,100 to $187,000 USD / year
Takes proactive steps to design and architect infrastructure and service to ensure reliability and functionality. Forecasts demands and responds to capacity needs. Collaborates with…
Added 30 mins ago
Platform Engineer
Guardify Inc.
Omaha, NE
As a Platform Engineer, you will own the foundation Guardify runs on: our cloud infrastructure, how code gets to production, how we know when something is wrong, and how we keep our…
Added 34 mins ago
Principal Product Security Engineer
Cribl
Remote, United States
Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of…
Added 34 mins ago
Marketing Engineer (AI Agents)
Cresta
Remote, United States
As Cresta’s first Marketing Engineer (AI Agents), you'll own the systems behind how Cresta shows up on the internet. In this role, you will own the technical decisions behind cresta.com and…
Added 34 mins ago
AI Growth Engineer
Cresta
Remote, United States
As Cresta’s first AI Growth Engineer, you'll own the systems behind how Cresta shows up on the internet. In this role, you will own the technical decisions behind cresta.com and help shape…
Added 35 mins ago
Software Engineer - GTM Engineering
Engine
Remote, United States
…with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI…

Iterable

Senior Machine Learning Engineer, Nova Intelligence

Remote, United States

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

Apply About employer

Applications open in a new tab.

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.

Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.

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.

Apply About employer

Report this job