Jobs in the United States

25+ jobs

Save this search

Added 17 mins ago
Machine Learning Engineer II
University Corporation for Atmospheric Research
Boulder, CO
2026-11-01 About the Role Great Opportunity! We are seeking a Machine Learning Engineer II.
Added 2 hours ago
Machine Learning Engineer, Perception
Jobgether
Remote, United States
…all applications and next steps. Our partner is looking for a Machine Learning Engineer, Perception based in United…
Added 2 hours ago
Senior Software Engineer, Windows Desktop App, DeepMind
DeepMind
Mountain View, CA · New York, NY
At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As…
Added 4 hours ago
Staff Software Engineer, Google Local Services Ads Platform
Google
Mountain View, CA
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 5 hours ago
Senior Machine Learning Engineer
Treasure AI
Remote, United States
This is an ideal position for those with not only data science and machine learning skills, but also cloud service engineering skills for developing, deploying, and operating these critical…
Added 6 hours ago
EU
Principal AI Engineer - Evinova
Evinova US LLC Company
Gaithersburg, MD
- $144,648.8 to $189,851.55 USD / year
As Principal AI Engineer, you'll design and implement sophisticated agentic AI systems that power next-generation life sciences solutions. Working at the intersection of AI research and…
Added 6 hours ago
Research Engineer - Agentic Audio ML Workflows
Bose Corporation, U.S.A
MA
…audio technology. We are looking for people passionate about machine learning and audio to help shape what comes…
Added 7 hours ago
Research Engineer / Scientist, Pre-training
Anthropic
Remote, United States
Are eager to learn more about machine learning research
Added 7 hours ago
A
Principal AI Engineer - Evinova
AstraZeneca
Gaithersburg, MD · Gaithersburg
- $144,648.8 to $189,851.55 USD / year
As Principal AI Engineer, you'll design and implement sophisticated agentic AI systems that power next-generation life sciences solutions. Working at the intersection of AI research and…
Added 7 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, AI agents, agentic workflows, or…
Added 7 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
…engineering, frontend engineering, cloud engineering, mobile, AI/machine learning, data oriented engineering, or full-stack product development. The role family is Software Engineering…
Added 7 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic…
Added 10 hours ago
TT
Software Engineer, C++ Systems
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $325,000 USD / year
…that improves GPU utilization and supports demanding AI and machine learning…
Added 11 hours ago
Software Engineer, Rust
Anduril Industries
Waltham, MA · Broomfield, CO
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 11 hours ago
Software Engineer, Rust
Anduril Industries
Broomfield, CO
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 11 hours ago
Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Washington, DC · Waltham, MA
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 11 hours ago
Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Waltham, MA
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 11 hours ago
Software Engineer- Machine Learning
Anduril Industries
Broomfield, CO · Waltham, MA
Master's, PhD, or 2–3+ years of professional experience in machine learning, especially model deployment
Added 11 hours ago
Software Engineer, Battlespace Awareness
Anduril Industries
Broomfield, CO
Machine learning: supervised and unsupervised learning, clustering, and classification;
Added 11 hours ago
Software Engineer, Battlespace Awareness
Anduril Industries
Waltham, MA · Broomfield, CO
Machine learning: supervised and unsupervised learning, clustering, and classification;
Added 11 hours ago
Senior Software Engineer, Rust
Anduril Industries
Waltham, MA · Broomfield, CO
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 11 hours ago
Senior Software Engineer, Rust
Anduril Industries
Broomfield, CO
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 11 hours ago
Senior Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Washington, DC · Waltham, MA
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 11 hours ago
Senior Software Engineer, Robotics Tracking and Fusion
Anduril Industries
Waltham, MA
Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Added 11 hours ago
Senior Software Engineer- Machine Learning
Anduril Industries
Waltham, MA
Master's, PhD, or 2–3+ years of professional experience in machine learning, especially model deployment

Treasure AI

Senior Machine Learning Engineer

Remote, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: ● 6+ years of professional experience in software engineering designing and building ML-
Posting language: English
Posted: Sep 14, 2026

Original job description

Treasure AI:

At Treasure AI, we’re on a mission to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that’s safe, flexible, and secure. We are thrilled that Gartner Magic Quadrant has recognized Treasure AI as a Leader in Customer Data Platforms for 2024! It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting-edge AI and real-time capabilities. View the report here. Furthermore, Treasure AI employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers - self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility.

Your Role:

We are seeking strong ML engineers to join the ML team and help us sharpen the ML vision and deliver more solutions to satisfy our customers’ needs. You will be working closely with other ML engineers and people from cross-functional teams.

You will be a good fit if you:

Are a self-driven, organized, and independent individual who proactively takes initiatives, anticipates needs, and solves problems to contribute to delivering values to our customers.
Have a strong sense of ownership and responsibility to get things done.
Have a growth mindset; are curious to learn new things and adaptive to changes.
Know how to navigate ambiguity and thrive in uncertain environments, consistently driving work forward.
Are passionate about productizing ML products, knowing how to make practical trade-offs when turning ideas into working software.
Excel in adapting communication styles and simplifying complex technical concepts for diverse audiences, ensuring clear and effective communication.
Enjoy working in a collaborative work environment with people from diverse backgrounds.

This is an ideal position for those with not only data science and machine learning skills, but also cloud service engineering skills for developing, deploying, and operating these critical ML products.

Responsibilities:

Design and develop ML models or solutions for our client CDP implementation.

Own specific technical areas, drive and execute ML product projects, track progress and mitigate risks by collaborating closely with product managers, UX designers, architects, engineers, and stakeholders from other cross-functional teams.
Contribute to defining system architecture for the ML products and implementing specific components to enhance the user experience.
Design and implement performant, scalable ELT data pipelines, considering an ML model’s lifecycle (training and inference).
Take responsibility for technical problem solving and meeting ML objectives creatively in ambiguous scenarios.
Participate in the on-call rotation for production support.
Drive best practices including ML research methodologies, coding standards, code reviews, source control management, development processes, build processes, testing and release, and operational excellence.

Job Requirements:

Advanced degree in computer science, data science, machine learning, or related field, or equivalent work experience.

6+ years of professional experience in software engineering designing and building ML- driven products, with at least 3 years focused on production ML systems.
Fundamental knowledge of Data Engineering and extensive experience in developing and deploying ML models, as well as building and maintaining ML pipelines and products.
Experience in applying scientific method: hypothesis formulation and testing, exploratory data analysis, cross-validation, reproducible research, structured reporting/documentation in a structured format, result explanation and presentation.
Experience designing, deploying, and operating scalable ML systems in production. This includes responsibility for model selection, performance benchmarking, and lifecycle management to solve real-world business problems.
Proficiency in Python and general ML ecosystem tooling in data processing and modelling (such as NumPy, pandas, scikit-learn, PyTorch, etc.).
Experience in designing and building products using public cloud services such as AWS.
Excellent verbal and written communication skills in English, and ability to convey research findings and implications to both technical and non-technical audiences.
Ability to work effectively in cross-functional and distributed teams across different time zones.

Physical Requirements:

Remote Work

Travel Requirements:

Our Dedication to You:

We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives.

Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it.

Agencies and Recruiters:

We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!

This description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here.

Apply About employer

More about this job

Skills

Machine learning
ML
Communication skills
Data engineering
Problem solving
Research
Computer science
Data analysis
Reporting
Documentation
Python
Process data
NumPy
pandas
Scikit-learn
PyTorch
AWS

Report this job