Remote jobs in the United States

25+ jobs

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Added 1 hour ago
Lead Engineer, Internal Tools & Business Systems
Aquaria
Remote, United States
Make build-versus-buy decisions, and manage the SaaS vendors and consultants behind our stack
Added 1 hour ago
Software Engineer - AI & Agentic Systems
Cisco Systems, Inc.
Remote, United States
…Silicon One Software team develops the comprehensive SDK software stack that enables our high-performance silicon products across global…
Added 2 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…who cannot afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…
Added 2 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…who cannot afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…
Added 2 hours ago
Remote Lead Software Engineer for a Healthcare Company
Pearl
Remote, United States
…who cannot afford them. It is looking for a Founding Senior Full-Stack Engineer to build the products that increase the supply of donated…
Added 2 hours ago
Senior Software Engineer
Murmuration
Remote, United States
The Senior Software Engineer is a full-time, salaried position with a comprehensive benefits package (detail below), open to candidates anywhere in the United States.
Added 2 hours ago
Senior Storage Engineer
Runware
Remote, United States
As Senior Storage Engineer, you will own the storage architecture of Runware's AI supercomputer: how model weights, caches and customer data move from object storage on two continents to…
Added 2 hours ago
Sr. Solutions Architect/Sales Engineer-AI Infrastructure (GPU) -West Coast
Liqid
Remote, United States
The right person can whiteboard a GPU inference cluster with a customer’s principal engineer, run a disciplined PoC against agreed success criteria, and translate the technical outcome into…
Added 2 hours ago
Sr. Solutions Architect/Sales Engineer-AI Infrastructure (GPU) -West Coast
Liqid
Remote, United States
The right person can whiteboard a GPU inference cluster with a customer’s principal engineer, run a disciplined PoC against agreed success criteria, and translate the technical outcome into…
Added 2 hours ago
V
Senior QA/SDET
Vouched
Remote, United States
- $180,000 to $210,000 USD / year
You will own quality across the full product lifecycle, from reviewing requirements and designs through test planning, automation, release validation, and production verification. You will…
Added 6 hours ago
IG
Principal Engineer, Populus.ai and Elevate Platform
IPS Group Inc.
Remote, United States
- $125,000 to $160,000 USD / year
The Principal Engineer is the technical owner of the platform behind Populus.ai and Elevate, combining two roles in one: the platform's architect and its lead hands-on developer. You will…
Added 7 hours ago
Lead Software Engineer
TDS Telecom
Remote, United States
The Lead Software Engineer works independently or leads teams of 5 or more people responsible for application design, development, testing, and problem resolution work teams with…
Added 16 hours ago
C
Product Engineer, Consumer
Clera
Remote, United States
- $200,000 to $350,000 USD / year
Own the full lifecycle of consumer products, from identifying user opportunities to building and shipping polished experiences. This hands-on role combines product strategy, design, and…
Added 17 hours ago
Principal Software Engineer, E2E Performance and Goodput - CSP Engagements
NVIDIA USA
Remote, United States
Understanding of how the full software stack impacts performance: driver overhead, collective algorithm selection, memory allocation, scheduling, firmware power management
Added 1 day ago
SH
Business Intelligence Engineer III, Workday and AI Copilot
Sutter Health
Remote, United States
- $93,953.6 to $176,155.2 USD / year
A specialized mid-level technical professional who exercises independent judgment to architect, engineer, and optimize full-stack data products. This role acts as a technical authority,…
Added 1 day ago
Senior Backend Cloud Engineer
Halcyon
Remote, United States
…As part of that vision, we’re looking for a Senior Backend Engineer to join our cloud team. You’ll lead the development and evolution of our data platform and API services, working within a…
Added 1 day ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
You are a systems-minded, AI-native engineer who ships real software. You own the full stack - and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration…
Added 1 day ago
Full Stack Engineer
Infisical
Remote, United States
We’re looking for an exceptional Full Stack Engineer to help us build, optimize, and expand the foundation of the platform.
Added 1 day ago
Senior Full Stack Engineer
Infisical
Remote, United States
We’re looking for an exceptional Senior Full Stack Engineer to help us build, optimize, and expand the foundation of the platform.
Added 1 day ago
IG
Senior Fullstack Developer
Insight Global
Remote, United States
- $185,000 to $200,000 USD / year
Insight Global is seeking a Senior Software Engineer for a top reinsurance client to help build a next-generation, AI-powered underwriting platform. This individual will serve as a…
Added 1 day ago
I
Senior Machine Learning Engineer, Nova Intelligence
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
…2026, and were featured in Snowflake’s Modern Marketing Data Stack…
Added 1 day ago
Senior Full Stack Software Engineer
Seamless
Remote, United States
As a Senior Full Stack Software Engineer at Seamless, you will have the opportunity to:
Added 1 day ago
Software Engineer - GTM Engineering
Engine
Remote, United States
…here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the…
Added 1 day ago
Senior Data Engineer
CVS Shared Services Resources LLC
Remote, United States
The Senior Data Engineer will design, build, and support data engineering solutions on Google Cloud Platform, with a focus on scalable data pipelines, database integration, and ETL…
Added 1 day ago
Staff Software Architect
CVS Shared Services Resources LLC
Remote, United States
Deep expertise in cloud-native services relevant to CIE's stack: BigQuery, Dataflow, Vertex AI, Cloud Run, GKE, Pub/Sub, Cloud Storage, or Azure equivalents

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.

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.

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