Jobs in the United States

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Added 4 mins ago
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Senior Platform Software Engineer, AI
Oracle
Nashville, TN
- $92,500 to $209,500 USD / year
We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services that improve the developer experience and increase engineering productivity. You will work…
Added 4 mins ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Nashville, TN
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
Added 28 mins ago
Design Engineer II
Silicon Laboratories Inc.
United States
SoC level configuration and integration of digital and mixed-signal IPs. Examples include embedded processors, memory and controllers, busses, power and clocking systems, security systems,…
Added 39 mins ago
AI/ML Engineer / Data Scientist
American Operations Corporation
Montgomery, AL
The AI/ML Engineer/Data Scientist works closely with Product Owners, Functional SMEs, Help Desk personnel, System Architects, DevSecOps personnel, and operational stakeholders to analyze…
Added 41 mins ago
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(Sr.) Founding Engineer - Noto
Outbound
San Francisco, CA
- $125,000 to $210,000 USD / year
AJ Ding is the CEO of Noto. He's a second-time founder and previously built an AI recruiting company. He was a machine learning engineer and data scientist at Quora, Lyft, & Meta. He…
Added 43 mins ago
AI/ML Engineer
Watkins Consulting
Huntsville, AL · Denver, CO
As an AI/ML Engineer at Watkins Consulting, you will be an integral part of our cutting-edge technology team. You will contribute to the design, development, and implementation of AI and…
Added 43 mins ago
Senior Data Engineer
Stellix
Foxborough, MA
Support the data architect in the creation of conceptual and logical data models. Own the creation of physical data model optimized for analytics, reporting, and AI/machine learning use…
Added 46 mins ago
AI Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for an AI Engineer to help build the data and model foundations that make Modern Relay’s platform reliable in production. You’ll work across data pipelines, model development,…
Added 47 mins ago
Senior Data Engineer
Ochsner Health
New Orleans, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…
Added 51 mins ago
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Senior Machine Learning Engineer
Find Your Talent (FYT)
Remote, United States
- $200,000 to $250,000 USD / year
We need someone who brings a different gear - modern tooling, fast experimentation, and a bias toward shipping. You won't be inheriting a broken system; you'll be raising the ceiling on…
Added 56 mins ago
AI Engineer Internship (UNPAID)
Holiday World
Remote, United States
We are seeking talented and motivated individuals to join our team for an exciting opportunity to work on cutting-edge AI-driven technologies and projects. This unpaid internship is…
Added 58 mins ago
Senior AI Engineer
Heart of the Dawn Games
Los Angeles, CA
We are looking for an experienced AI Engineer to join our early stage team. In this role you will build systems and features that support a rich open world in Unreal Engine 5. We are…
Added 59 mins ago
[EN] Artificial intelligence engineer at Figen AI
Figen AI
United States
Work with extensive datasets; apply cutting-edge machine-learning techniques to create robust, scalable models that handle complex financial and tax information.
Added 1 hour ago
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ML Operations Engineer
Refine
New York City, NY
- $150,000 to $175,000 USD / year
We are seeking a Machine Learning Operations (ML Ops) Engineer to join our team. This role will be crucial in scaling and maintaining the ML infrastructure that powers Refine’s multimodal…
Added 1 hour ago
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Backend Engineer (In-Person)
Refine
New York City, NY
- $75,000 to $100,000 USD / year
We're a rapidly growing AI technology company revolutionizing e-commerce search and discovery through advanced multimodal AI and natural language processing. Our platform transforms…
Added 1 hour ago
AI/Machine Learning Engineer, Neuro-AI
Cahira Technologies
Boston, MA
We are seeking AI/Machine Learning Engineers who will architect and implement the core AI pipelines that drive our innovative solutions. This is a unique opportunity to build the future of…
Added 1 hour ago
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ML Engineer - Robotics
Deccan AI
Mountain View, CA
- $160,000 to $320,000 USD / year
We’re looking for an ML Engineer – Robotics to design, train, and deploy intelligent models that power autonomous systems. You’ll work at the intersection of machine learning, control…
Added 1 hour ago
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ML Engineer - Demand Geneneration / Research / Engineering
Deccan AI
Mountain View, CA
- $160,000 to $320,000 USD / year
We are looking for an ML Engineer – Demand Generation / Research / Engineering to build intelligent systems that leverage machine learning, data science, and AI to drive business growth and…
Added 1 hour ago
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Founding Engineer - ML Research
Deccan AI
Mountain View, CA
- $160,000 to $320,000 USD / year
We’re looking for a Founding ML Research Engineer to help build and scale our AI research backbone from the ground up. This role sits at the intersection of applied machine learning and…
Added 1 hour ago
Founding Engineer - Machine Learning
Deccan AI
Mountain View, CA
We’re looking for a Founding ML Engineer to build and scale core machine learning systems from the ground up. This is a hands-on role for someone who can move fast between experimentation…
Added 1 hour ago
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Software Engineer, Generalist (C++/Python)
Fabri
Billerica, MA · Boston, MA
- $140,000 to $180,000 USD / year
Help identify where automation, instrumentation, analytics, or machine learning can improve quality, throughput, and repeatability.
Added 1 hour ago
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AI Marketing Project Manager
Together We Talent
Remote, United States
- $50 to $60 USD / hour
This is not an AI Engineer or AI Developer position. The Project Manager will serve as the critical bridge between Marketing business owners and AI development teams, translating marketing…
Added 1 hour ago
LLM Engineer (Large Language Model Engineer)
Nestifytech Solutions Private Limited
Remote, United States
At NestifyTech Solutions, looking for a highly skilled LLM Engineer to develop, fine-tune, and integrate large language models (LLMs) into enterprise-grade applications. This role requires…
Added 1 hour ago
MLOps Engineer Internship
Metasys
Remote, United States
The MLOps Engineer is crucial for bridging the gap between data science and production, responsible for the reliable, scalable, and secure deployment of machine learning models. You will…
Added 1 hour ago
AI/ML Engineer Internship
Metasys
Remote, United States
Candidates must possess deep experience in machine learning, LLM technology, and production deployment:

Lovelace AI

Machine Learning Engineer

Pittsburgh, PA, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

About Us:

Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis.

Lovelace’s context engine platform, Elemental, uniquely integrates data ingestion, entity resolution, and graph building into a single pipeline that empower agentic deployments, delivering 1000X the investigative power for complex queries. With its proprietary ground-breaking YottaGraph, Lovelace provides enterprises with real-time, real-world context, enabling agents to understand the impact of global intelligence on enterprise data for unmatched insights with millisecond precision.

Founded in 2023 by Andrew Moore, former head of Google Cloud AI, dean of Carnegie Mellon’s School of Computer Science, and first AI advisor for U.S. CENTCOM, Lovelace currently works with some of the largest public and private enterprises in the world.

Job Summary:

As a Machine Learning Engineer, you'll own ML problems end to end, from framing an ambiguous question to shipping a production system. There's no ticket queue and no narrow scope: everyone here, including newer engineers, stands up new jobs and makes changes across the codebase without close supervision. You'll decide what data matters, which models fit, and how the system around them should work. The role is roughly half research and half engineering, on a team that reports to our Chief Scientist.

At Lovelace, every engineer is a manager of AI. Our engineers work alongside AI coding agents every day, and the most valuable thing you'll bring is judgment: knowing what to build, catching when an agent gets it wrong, and owning the design decisions.

We're looking for people who ramp in weeks, not months. You don't need industry experience; strong research lab backgrounds are welcome. What matters is that you've owned hard problems and can think critically about your own work and your agents'.

Key Responsibilities:

Frame ambiguous product needs as precise ML problems, and set your own requirements.
Decide what data is useful, which model types fit, and when to go beyond fine-tuning.
Direct AI coding agents, review their output critically, and push back when their design decisions are wrong.
Design the systems around your models: data pipelines, serving, evaluation, and monitoring.
Choose metrics that reflect real outcomes, and catch when they mislead.
Stand up new jobs, make changes across the codebase, and ship NLP and LLM systems to production, owning their correctness.
Challenge assumptions, including teammates' and your own, to get to the right answer.

Qualifications:

A track record of owning ambiguous problems end to end, in a research lab, a startup, or your own projects.
Strong ML fundamentals, from probabilistic foundations to modern deep learning and LLM architectures.
Experience building the system around a model, not just training it: data pipelines, evaluation, deployment, and how it behaves at scale.
Hands-on experience with AI coding agents, and a clear sense of where they go wrong.
Expert-level Python and a strong testing discipline. You understand how your code works.
The confidence to push back, with evidence, on requirements, teammates, and agents.

Preferred Skills:

NLP, knowledge graphs, entity resolution, or agentic systems.
Go or other systems programming experience.
Open-source contributions, side projects, or publications with working code.
Background from a strong research lab. A PhD is welcome but not required.

Benefits:

LovelaceAI offers competitive compensation packages, comprehensive benefits. We provide a supportive and inclusive work environment where your skills and expertise can make a significant impact on the safety and security of our communities.

Lovelace’s founding team includes:

Andrew Moore, who has a track record of building impactful AI systems, designing them with human rights impact assessments as a top priority, leading the AI division of one of the world’s foremost cloud companies, and actively participating in machine learning and AI research over the past two decades.

Toby Smith, well known in the Pittsburgh Tech community for his engineering leadership and design skills, and who has led many of the most ambitious and complex system infrastructure projects in Google Pittsburgh and NetApp.

Here is a note from Andrew Moore to people who are reading these Job Postings:

“Hi folks, I’m so glad you are potentially interested in Lovelace AI. This area means a lot to me because while I am an AI optimist, I also think that we technologists owe it to a rightly skeptical world to show that modern intelligent systems can actually be useful. Usefulness comes in many guises: from life sciences to education and from transportation to entertainment and many others. For many of us, security and public safety is also very high on that list. That reasoning leads to this conclusion: I’m determined to make sure that the people building Lovelace AI gain a lot from the experience, including the chance to solve fascinating problems in computer science, AI, business development, customer success and product management. I also hope that we all learn from each other in a highly enriching work environment. But my main hope is that we have a shared sense of accomplishment as we see an increasing number of national security and public safety domains made safer through sensible and robust use of advanced computer science."

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