Jobs in the United States

25+ jobs

Save this search

Added 7 mins ago
CM
Senior Frontend Engineer (Analytics Product Lead)
Capital Markets Gateway
Seattle, WA · Chicago, IL
- $180,000 to $200,000 USD / year
We’re looking for a Senior Frontend Engineer to join the Mission Control team (DataLab product) as the frontend technical lead for the western hemisphere-based team. As a frontend engineer,…
Added 11 mins ago
Lead AI and Data Science Engineer II
Deloitte
Omaha, NE
Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and leading a small team in a fast-paced environment to…
Added 11 mins ago
Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Lincoln, NE
Hands-on experience applying AI or machine learning technologies (including LLMs and generative AI) to real-world business or security use cases.
Added 12 mins ago
Network Operations Engineer
Meta
Lincoln, NE
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 12 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Lincoln, NE
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added 17 mins ago
Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Charleston, WV
Hands-on experience applying AI or machine learning technologies (including LLMs and generative AI) to real-world business or security use cases.
Added 17 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Charleston, WV
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…
Added 17 mins ago
Network Operations Engineer
Meta
Charleston, WV
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 42 mins ago
Staff Machine Learning Engineer - Edge AI
Samsara
Remote, United States
…customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve…
Added 57 mins ago
Staff Software Engineer, AI Model Lifecycle
Crusoe
San Francisco, CA · Sunnyvale, CA
The Senior Staff Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle,…
Added 1 hour ago
Cyber Security AI Engineer 4
St. Luke's Health System
Boise, ID
The Cyber Security AI Engineer 4 serves as the organization’s senior technical authority for AI security, leading the strategy, architecture, governance, and technical standards necessary…
Added 1 hour ago
J
Senior Machine Learning Engineer
Jobgether
Remote, United States
- $134,400 to $168,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer based in the United States.
Added 1 hour ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Data science or machine learning experience, or academic grounding in statistics, mathematics, applied mathematics, computer science, or another quantitative field.
Added 2 hours ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 2 hours ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 2 hours ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 2 hours ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 2 hours ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 2 hours ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 2 hours ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Familiarity with AI, machine learning, or high-performance computing workloads
Added 2 hours ago
Manufacturing Engineer 3 - 31037
Huntington Ingalls Industries
Pocasset, MA
Know & Grow Your People – Commit to learning and supporting team success.
Added 2 hours ago
Software Development Engineer, OneMHS
Amazon
Boston, MA
We are seeking an exceptional Software Development Engineer to build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities across our global…
Added 2 hours ago
Senior Data Technology Consultant, Databricks Data & AI Practice
EPAM Systems
Boston, MA
Must have: Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional, or Generative AI Engineer) and experience with Databricks partner programs
Added 3 hours ago
Cloud Solution Engineer (Genomics & AI)
Oracle
Jefferson City, MO
The opportunity Oracle is seeking a senior pre-sales engineer with expertise in genomics, software engineering, and applied AI/ML. You will help molecular diagnostics companies, genomics…
Added 3 hours ago
Senior Software Engineer, Discover Feed Recommendations
Google
Mountain View, CA
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).

Modern Relay

AI Engineer

New York City, NY, United States
San Francisco, CA, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 0–6 years of experience in AI/ML engineering, data engineering, or a closely related role (we’re open to exceptional new grads with strong projects)
Posting language: English

Original job description

About Modern Relay Modern Relay is building the knowledge platform for the agent era. Our product caters a new kind of company: one in which humans work alongside internal and external AI agents, and where coordination, context and trust become critical infrastructure. The platform provides a shared layer of truth where both humans and agents can propose updates, contribute knowledge and trigger workflows. This result in a living, compounding knowledge hub that can be read from, written to and improved by both people and software. Role Overview 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, and ML infrastructure, turning messy signals into structured knowledge and high-quality model behavior. This role is ideal for someone who enjoys shipping end-to-end systems, from schema design and data infrastructure to training/evaluating models and improving them with feedback loops. Locations

San Francisco, CA
New York City, NY
Barcelona, Spain
Remote (U.S. and Europe)

What You’ll Do

Design and build data pipelines that ingest, clean, and transform product and customer data into high-signal training and evaluation datasets
Own data infrastructure decisions (storage, orchestration, lineage, observability) to ensure reliability, scalability, and fast iteration
Develop and improve ML/AI systems that power agent's behavior in task-solving, including retrieval, ranking, classification, and structured extraction
Create and maintain schemas for agent memory, tool outputs, and conversation artifacts to make downstream modeling and analytics consistent
Build evaluation harnesses and metrics to measure model quality, regressions, and real-world performance (offline + online)
Work with knowledge representations (e.g., knowledge graphs) to connect entities, events, and business context for better reasoning and retrieval
Partner closely with Product and Engineering to integrate models into production workflows with clear SLAs and monitoring
Continuously improve feedback loops: labeling strategies, active learning, error analysis, and dataset/version management

What Success Looks Like

Data pipelines and datasets are trustworthy, well-instrumented, and easy to iterate on as product needs evolve
Model performance improves measurably over time with clear evaluation methodology and fast debugging cycles
Agent outputs become more consistent and structured through strong schema design and robust post-processing/validation
Knowledge and retrieval systems reduce hallucinations and increase task completion rates in real customer workflows
Cross-functional teams can confidently ship AI improvements because quality, monitoring, and rollback paths are in place

What We’re Looking For

0–6 years of experience in AI/ML engineering, data engineering, or a closely related role (we’re open to exceptional new grads with strong projects)
Strong fundamentals in data engineering: pipelines, data modeling, schema design, and data quality practices
Experience building or operating ML systems in production (training, evaluation, deployment, monitoring) or strong evidence you can ramp quickly
Comfort working across the stack: from raw data and infrastructure to model behavior and product integration
Familiarity with modern ML platforms and tooling (experiment tracking, dataset/versioning, orchestration, feature/data stores, model serving)
Understanding of information theory concepts (e.g., entropy, mutual information) and how they relate to signal, compression, and evaluation
Experience with knowledge graphs or structured knowledge representations is a plus
High ownership and a bias toward shipping: you can take ambiguous problems, propose a plan, and execute

Key Skills

Data pipelines
Data engineering and data infrastructure
AI / artificial intelligence
Machine learning platforms and production ML
Model development, evaluation, and monitoring
Schema design and structured data systems
Knowledge graphs and information retrieval
Information theory fundamentals

Why This Role

Build core AI infrastructure that directly impacts product reliability and customer outcomes
Work on real-world agent coordination problems where data quality, structure, and evaluation matter as much as models
High autonomy and ownership in a fast-moving team shipping at the frontier of applied AI
A chance to define how Modern Relay’s agents learn from data and improve over time

Apply About employer

More about this job

Skills

ML
Debugging
Data engineering
Data modelling
Artificial intelligence
Machine learning

Report this job