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Product Security Engineer
Superhuman
Remote, United States
- $227,000 to $310,000 USD / year
…problems in the building, and we're looking for a Product Security Engineer to help us solve it. Your job won't be to slow us down; it will be to make moving fast the safe default. You will…
Added 2 mins ago
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AI Engineer
Actalent
Seattle, WA
- $190,000 to $215,000 USD / year
Bonne connaissance ou expérience significative de développement en Python.
Added 2 mins ago
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Software Engineer III
Actalent
Santa Clarita, CA
- $53.99 to $68.93 USD / hour
Job Title: Software Engineer IIIJob DescriptionThis role focuses on developing and validating software systems, applications, and firmware in support of research and development and…
Added 4 mins ago
Machine Learning Engineer
Lovelace AI
Pittsburgh, PA
- 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:…
Added 7 mins ago
Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · Denver, CO · Herndon, VA
A Forward Deployed Engineer II (FDE II) embeds directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the…
Added 9 mins ago
Senior Engineer – Spacecraft System Test Engineer (AI&T) - $15K Sign On Bonus
BAE Systems
Boulder, CO
BAE Systems Aerospace & Mission Systems (AMS) is seeking a Senior Engineer to support the testing and execution of space flight hardware. This role is designed for a technical professional…
Added 9 mins ago
Senior Engineer – Spacecraft System Test Engineer (AI&T)
BAE Systems
Boulder, CO
Job Description BAE Systems Aerospace & Mission Systems (AMS) is seeking a Senior Engineer to support the testing and execution of space flight hardware. This role is designed for a…
Added 11 mins ago
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AI Engineer II
Federal Express Corporation
Memphis, TN · Coraopolis, PA · Plano, TX
- $11,410.38 USD / month
The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation, predictive…
Added 17 mins ago
R&D Engineering , Staff Engineer
Synopsys
Hillsboro, OR
You are comfortable moving between complex C++ implementations and Python prototyping, between statistical outlier analysis and conversations with field engineers who need you to explain…
Added 19 mins ago
Sr. Technical Program Manager, FDE
Databricks
NJ
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the…
Added 23 mins ago
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Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
- Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, AWS, GCP, or similar platforms.
Added 28 mins ago
Principal Architect - Application Development
Farmers Insurance Careers
United States
Added 29 mins ago
Full Stack Engineer 4
Capital One
McLean, VA
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
Added 35 mins ago
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Software Engineering, AI Systems (PMTS)
Salesforce, Inc.
CA · IL · MA · WA
- $197,300 to $344,700 USD / year
…discoveries into reusable product capabilities. As a Principal Engineer, you’ll remain hands-on while shaping architecture across our agent and backend systems, owning critical capabilities…
Added 35 mins ago
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Specialist Solution Engineer - Tableau
Salesforce, Inc.
Remote, United States
- $157,640 to $231,980 USD / year
…expertise meets a higher purpose. As a Specialist Solution Engineer for Analytics (Tableau) on the Federal Civilian team, you’ll help agencies turn data into decisions and mission…
Added 36 mins ago
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Principal Network Engineer
Oracle
Abilene, TX · TX
- $114,600 to $234,600 USD / year
Engineer segmentation (VRFs/security zones), ACLs/policies, encryption (IPsec/TLS), and DDoS/WAF integrations aligned to zero-trust.
Added 36 mins ago
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Lead Principal Application Software Engineer
Oracle
United States
- $104,600 to $264,100 USD / year
We're seeking a highly skilled lead engineer to modernize OHAI’s Revenue Cycle product portfolio with AI smart applications. As an engineering lead, you will play a pivotal role in…
Added 43 mins ago
Sr. Application Security Engineer
Esri
Remote, United States
…technology-oriented environment. As an Application Security Engineer at Esri, you will fill a critical role in helping secure Esri's intellectual property and sensitive data against a…
Added 45 mins ago
Senior Software Engineer - Python
Veeva
Remote, United States
Seasoned Software Engineer: 5+ years of proven software development expertise (Production level Python development required)
Added 45 mins ago
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Sr. Data Engineer
Robert Half
Minneapolis, MN
- $115,000 to $144,000 USD / year
We are looking for a Senior Data Engineer to strengthen our data foundation and help deliver reliable, scalable information solutions across Minneapolis, Minnesota. In this role, you will…
Added 47 mins ago
CM
Staff Software Engineer, Compiler
Code Metal
Boston, MA · San Francisco, CA · Washington, DC
- $170,000 to $200,000 USD / year
We're building a new generation of translation tools that turn Python algorithm code into correct, deployable C++ for embedded systems. They combine classic compiler techniques with…
Added 47 mins ago
CM
Senior Software Engineer, Compiler
Code Metal
Boston, MA · San Francisco, CA · Washington, DC
- $170,000 to $200,000 USD / year
We're building a new generation of translation tools that turn Python algorithm code into correct, deployable C++ for embedded systems. They combine classic compiler techniques with…
Added 48 mins ago
Sr. NMS (Network Management System) Engineer
Micas Networks
San Jose, CA
Micas is seeking a top-tier Sr. NMS (Network Management System) Engineer to design, develop and deliver the management, monitoring and telemetry layer for Micas white-box switches. You will…
Added 48 mins ago
Senior BSP / Platform Software Engineer
Micas Networks
San Jose, CA
Micas Networks is seeking a hands-on, experienced Senior BSP / Platform Software Engineer to own the board support package (BSP) and low-level platform software for our SONiC-based data…
Added 50 mins ago
Senior Site Reliability Engineer
Applaudo Studios
Louisville, KY
You are a Senior Site Reliability Engineer with strong cloud and reliability engineering fundamentals and the versatility to work across edge infrastructure, enterprise networking, mobile…

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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