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Added 26 mins ago
Senior Full Stack Developer, Agentic Engineering
FullBloom
Statewide, PA
This role is hired to build agent-first. The Senior Full-Stack Developer, Agentic Engineer is a founding member of a small, new engineering squad building the next generation of…
Added 1 hour ago
TT
Senior Full Stack Engineer
True Talent Solutions Partners
Boston, MA
- $185,000 to $210,000 USD / year
…people with serious chronic conditions. You will be a hands-on engineer and product partner, shaping the product and helping establish the engineering…
Added 1 hour ago
Databricks Engineer
CGI Technologies and Solutions, Inc.
Lafayette, LA
We CGI is seeking an experienced Databricks Engineer to join our AI Cloud Engineering (ACE) Practice. Team members will deliver POCs, pilots, and production solutions while supporting…
Added 1 hour ago
AE
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 1 hour ago
Software Engineer, AI Products - MCP Manager
Usercentrics
NY · New York, NY
…is the answer, serving as the trust and control layer for AI agent…
Added 1 hour ago
Customer Success Manager, AI Products - MCP Manager
Usercentrics
NY · New York, NY
…is the answer, serving as the trust and control layer for AI agent…
Added 1 hour ago
Software Engineer (AI Agents)
Fluent, LLC
NY · New York, NY
Fluent is hiring its first dedicated AI Engineer. Over the past year, AI at Fluent has moved from pilots to production: a service desk agent that closes tickets without a human touch, a…
Added 2 hours ago
Engineer
J&J Family of Companies
Jacksonville, FL
…operations to meet business objectives. Serves as a change agent by creating a learning culture and experimental mindset within the department and organization to improve business…
Added 2 hours ago
TT
Mid/Senior Full Stack AI Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $250,000 USD / year
- Production experience building and orchestrating LLM agents, including use of an agent framework such as LangGraph, Mastra, or an agent SDK.
Added 2 hours ago
M
Principal Hardware Engineer
Microsoft
WA · CA · OR · NC · TX · Redmond, WA · Mountain View, CA · Hillsboro, OR · Raleigh, NC · Austin, TX · Redmond · Mountain View · Hillsboro · Raleigh · Austin
- $142,800 to $304,200 USD / year
We are looking for a Principal Hardware Engineer to join the team.
Added 2 hours ago
M
Senior Hardware Engineer
Microsoft
CA · WA · TX · NC · OR · Mountain View, CA · Redmond, WA · Austin, TX · Raleigh, NC · Hillsboro, OR · Mountain View · Redmond · Austin · Raleigh · Hillsboro
- $119,800 to $261,000 USD / year
…AI, and agentic workflows. We are looking for a Sr. Hardware Engineer to solve challenging hardware, firmware, software, and system-level problems across Microsoft’s Global Azure Cloud…
Added 3 hours ago
GA
Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
GE Aerospace
Providence, RI
- $131,000 to $174,000 USD / year
Change agent experienced in Agile delivery (e.g., Scrum, Kanban, SAFe).
Added 3 hours ago
EG
Senior AI Engineer
Eliassen Group
Aberdeen Proving Ground, MD
- $80 to $90 USD / hour
Our client seeks an AI Engineer to support CECOM ASIC in developing and deploying AI/ML models, agentic AI systems, analytics solutions, and automation workflows that drive Army readiness…
Added 3 hours ago
Senior Machine Learning Engineer III ***Raleigh, NC***
RELX INC
Raleigh, NC
Are you looking to develop your Machine Learning Engineer career?
Added 3 hours ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Raleigh, NC
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 3 hours ago
Infrastructure Engineer
Endex
New York City, NY · Los Angeles, CA · Denver, CO · Austin, TX · San Francisco, CA · Chicago, IL
We're looking for an engineer who can make the systems behind Endex reliable, observable and straightforward for the team to operate.
Added 3 hours ago
Forward Deployed Engineer
Endex
New York City, NY · Los Angeles, CA · Denver, CO · Austin, TX · San Francisco, CA · Chicago, IL
We're looking for an engineer who wants to work close to customers and build the software that makes a deployment succeed.
Added 3 hours ago
O
Senior Platform Software Engineer
Oracle
Nashville, TN
- $87,800 to $209,500 USD / year
As a Senior Software Engineer you will own software architecture and development of Oracle's GenAI Agent Platform. You should be both a rock solid coder and a distributed systems…
Added 4 hours ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Montpelier, VT
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 4 hours ago
Enterprise Architecture Manager, Senior Vice President
Citigroup
Irving, TX
…structural impact assessments on core operating platforms to engineer proactive systemic…
Added 4 hours ago
G
Forward Deployment Agentic Engineer
Guidehouse
SAN ANTONIO, TX · HOUSTON, TX
- $70,000 to $116,000 USD / year
Develop reliable agent workflows that use tools, structured outputs, retrieval, and human review where appropriate.
Added 4 hours ago
C
AI Data Engineer
Cognizant
Austin, TX
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 4 hours ago
C
AI Data Engineer
Cognizant
Austin, TX
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 5 hours ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
- Build product experiences for agent investigations, evaluation workflows, trajectory debugging, verification, and replay.
Added 5 hours ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
Brings substantial professional experience as a data scientist, machine learning engineer, NLP engineer, AI engineer, or AI/software architect, with a track record of building and deploying…

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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