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Added 5 mins ago
Software Engineer, Systems ML
Meta
Montgomery, AL
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive…
Added 18 mins ago
Software Engineer, Systems ML
Meta
Lansing, MI
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive…
Added 19 mins ago
Senior Software Engineer, YouTube Ads Marketplace Optimization
YouTube
Mountain View, CA
3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
Added 19 mins ago
Research Engineer, Responsibility, DeepMind
DeepMind
Mountain View, CA
Experience with Cloud AI/Machine learning systems and tools (e.g., Kaggle, TensorFlow, PyTorch etc.).
Added 22 mins ago
J
AI Infrastructure / Product Engineer
Jobgether
Remote, United States
- $180,000 to $260,000 USD / year
…improve operational efficiency. As an AI Infrastructure / Product Engineer, you will bridge the gap between AI research and practical product development, turning experimental technologies…
Added 39 mins ago
R&D Engineer 1/2
Los Alamos National Laboratory
Los Alamos, NM
Technical Knowledge: Knowledgeable with concepts core to mechatronic systems in addition to machine learning concepts and experience with Python and C++.
Added 39 mins ago
Intern, R&D Graduate Summer - Materials Mechanics & Tribology, Onsite
Sandia National Laboratories
Albuquerque, NM
Experience or knowledge of machine learning or artificial intelligence applications in the organization or analysis of large data sets.
Added 49 mins ago
Software Engineering Manager, GenAI, Computer Vision, Google Maps Immersive Navigation
Google
Mountain View, CA
Experience with computer vision learning techniques, machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning), generative AI, or applied AI…
Added 1 hour ago
NS
TECHNICAL PROJECT MANAGER
Naval Sea Systems Command
Naval Surface Warfare Center, MD
- $143,913 to $197,200 USD / year
…technical leadership in the development of the next generation of machine learning tools that will assist with the identification of acoustic and machinery health issues utilizing organic…
Added 1 hour ago
Staff Engineer 3
Stanford
Menlo Park, CA
Research, evaluate and develop new controls technologies that can improve accelerator performance, reliability, automation and maintainability, including emerging applications of AI and…
Added 2 hours ago
Senior Compiler Engineer - AI
NVIDIA USA
Remote, United States
6+ years of relevant work or research experience in compilers, distributed systems, or deep learning training.
Added 2 hours ago
J
Associate Machine Learning Engineer
Jobgether
Remote, United States
- $106,900 to $152,700 USD / year
…applications and next steps. Our partner is looking for an Associate Machine Learning Engineer based in the United…
Added 3 hours ago
Quality Assurance Manager (Mgr Quality 3) - 30981
Huntington Ingalls Industries
Pocasset, MA
HII creates advanced unmanned solutions for defense, marine research and commercial applications. Serving customers in more than 30 countries, HII provides design, autonomy, manufacturing,…
Added 3 hours ago
Senior Mechanical Engineer - Maritime
QinetiQ
Franklin, MA
…locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning…
Added 3 hours ago
Senior Mechanical Engineer - Maritime
QinetiQ
Franklin, MA
…locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning…
Added 4 hours ago
Senior Data Engineer
The Howard University
United States
Ability to develop reliable, analytics-ready datasets supporting institutional reporting, forecasting, advanced analytics, and machine learning.
Added 7 hours ago
Senior Machine Learning Engineer (Casualty / Claims Intelligence)
CCC Intelligent Solutions Inc.
Remote, United States
As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions.
Added 8 hours ago
Sr. Lab Engineer, Catalyst Research and Development
Clariant
Palo Alto
Clariant is seeking a Senior Lab Engineer to join the Catalyst Research & Development team in Palo Alto, California. In this role, you will support the development of next-generation…
Added 8 hours ago
Product Pathfinding Engineer- HIG-TPG
Micron Technology
Boise
…power per bit solutions that improve customer experience in ML (Machine Learning) and AI (Artificial…
Added 8 hours ago
TT
Research Engineer, Evals
True Talent Solutions Partners
San Francisco, CA
- $250,000 to $290,000 USD / year
- Strong Python skills and experience with machine learning, LLMs, data pipelines, web scraping, NLP, and evaluation frameworks.
Added 8 hours ago
TT
Founding ML Research Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $230,000 USD / year
- Strong CS, machine learning, or engineering fundamentals, and a record of independently driving product decisions from idea to production.
Added 9 hours ago
L
Senior Security Engineer - Detection & Response
Lambda
San Francisco, CA · San Jose, CA · Bellevue, WA
- $296,000 to $395,000 USD / year
…and help us understand your readiness for a Senior Security Engineer role. Your application is not a waste of our…
Added 9 hours ago
CM
Cloud Platform Engineer I
Centene Management Company LLC
Remote, United States
- $30.58 to $55.09 USD / hour
The Cloud Platform Engineer I is a position for a motivated developer who will be joining our engineering team and help design, develop, and operationalize AI-enabled applications and…
Added 9 hours ago
Remote AI Application Engineer
Insight Global
Upper Providence, PA
One of our leading pharmaceutical clients is seeking an AI Application Engineer to design and build AI-enabled applications supporting early-stage drug discovery and scientific research.
Added 9 hours ago
Machine Learning / AI Engineer
Bose Corporation, U.S.A
Remote, United States
At Bose, we believe sound is the most powerful force on earth. As a Machine Learning / AI Engineer, you’ll help bring that belief to life - developing intelligent capabilities for the next…

Jobgether

Associate Machine Learning Engineer

Remote, United States

$106,900 to $152,700 USD / year

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Job details

Pay: $106,900 to $152,700 USD / year
Experience: 0–2 years of experience in machine learning engineering, software engineering, data engineering, or a related technical field.
Posting language: English
Posted: Nov 3, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Machine Learning Engineer based in the United States.

In this fully remote role, you will contribute to the development and deployment of machine learning solutions that support data-driven decision-making and enhance digital products used by millions of users. You will work alongside experienced machine learning engineers, data scientists, data engineers, and cloud infrastructure specialists to build scalable AI and machine learning capabilities. Your responsibilities will include supporting automated data pipelines, model deployment processes, and cloud-based engineering infrastructure. You will gain hands-on experience with modern technologies while contributing to innovative projects that improve product performance, reliability, and customer experiences. This is an excellent opportunity for an early-career engineer passionate about AI, software development, and continuous learning to grow within a collaborative, technology-driven environment.

Accountabilities:

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Collaborate with Machine Learning Engineers, Data Scientists, Data Engineers, DevOps specialists, and other technical teams to understand requirements and support the development of machine learning solutions aligned with business objectives.

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Assist in building, testing, maintaining, and improving software components and infrastructure that support machine learning applications.

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Contribute to the development and maintenance of automated data pipelines, machine learning workflows, and model deployment processes.

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Support cloud-based machine learning solutions using technologies such as AWS, Databricks, and Apache Spark.

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Participate in continuous integration and continuous delivery (CI/CD) processes, helping improve automation, deployment reliability, and operational efficiency.

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Monitor machine learning applications, investigate technical issues, and collaborate with senior engineers to identify and implement solutions.

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Help maintain scalable infrastructure and tooling that enable AI and machine learning capabilities across the organization.

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Contribute to technical discussions, cross-functional meetings, and project planning by sharing feedback, asking relevant questions, and helping clarify requirements.

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Document technical solutions, development processes, and lessons learned to facilitate knowledge sharing and improve team practices.

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Follow established software engineering, machine learning, security, data governance, and development standards.

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Continuously strengthen technical expertise through mentorship, training, experimentation, and hands-on project experience.

Requirements:

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Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Machine Learning, or another related quantitative discipline.

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0–2 years of experience in machine learning engineering, software engineering, data engineering, or a related technical field.

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Internship experience, academic research, capstone projects, or equivalent practical experience in artificial intelligence, machine learning, or software development is preferred.

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Experience using Python through academic projects, internships, research, or professional work.

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Foundational understanding of machine learning concepts, algorithms, model development, and deployment processes.

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Familiarity with software engineering fundamentals, including version control, software testing, debugging, and code review practices.

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Basic understanding of data engineering principles, data structures, and automated pipeline development.

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Exposure to cloud computing platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage.

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Strong analytical thinking and problem-solving abilities, with the capacity to investigate technical challenges and develop practical solutions.

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Excellent communication and collaboration skills, including the ability to work effectively with both technical and non-technical stakeholders.

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Demonstrated curiosity, adaptability, and enthusiasm for learning emerging technologies and improving engineering practices.

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Ability to manage assigned tasks independently while recognizing when guidance or support from senior colleagues is needed.

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Interest in how machine learning infrastructure and AI-driven solutions can improve customer experiences and business outcomes.

Preferred Qualifications:

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Academic or professional experience in human resources, social sciences, or psychology.

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Contributions to open-source projects, particularly those involving Python.

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Demonstrated interest in emerging machine learning technologies, AI infrastructure, and modern engineering practices.

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Motivation to explore innovative tools and approaches that improve the scalability, reliability, and performance of machine learning solutions.

Benefits:

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Competitive annual base salary ranging from $106,900 to $152,700, depending on experience, qualifications, and work location.

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Comprehensive employee benefits package.

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Fully remote working arrangement within the United States, with no regular office attendance required.

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Opportunities to work with modern machine learning technologies and cloud platforms.

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Hands-on experience developing AI and machine learning infrastructure at scale.

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Mentorship and collaboration with experienced engineering professionals.

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Professional development opportunities through training and practical project experience.

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Collaborative and inclusive working environment.

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Opportunities to contribute to innovative AI-powered products and customer-focused solutions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Machine learning
Decision making
AWS
Databricks
Apache Spark
CI/CD
Computer science
Statistics
Data engineering
Research
Artificial intelligence
Software development
Python
Debugging
Cloud computing
Microsoft Azure
Google Cloud
Analytical skills
Problem solving
Communication skills
Collaboration
Adaptability
Social sciences

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