Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...
Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
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Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...
$134K - $180K/yr
The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with ...
Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to ...
Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to ...
Machine Learning Engineer
Portland, OR · On-site
As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...
Machine Learning Engineer
Portland, OR · On-site
As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...
Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...
Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...
Machine Learning Engineer
Foster, OR · On-site +1
$160K - $215K/yr
The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...
Machine Learning Engineer
Foster, OR · On-site +1
$160K - $215K/yr
The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...
$104K - $143K/yr
Position Overview As a Senior Machine Learning Engineer at Anno.ai, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to ...
Senior Machine Learning Engineer
$110K - $152K/yr
Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...
Senior Machine Learning Engineer
$110K - $152K/yr
Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
OR · On-site
As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...
Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and data analysts/data scientists. We welcome candidates with all visas and citizens to apply.
Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and data analysts/data scientists. We welcome candidates with all visas and citizens to apply.
Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning ... Prior industry or research internship in machine learning or AI * Interest and experience in ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Portland, OR · Remote
$139K - $168K/yr
At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition
Machine Learning Engineer New Grad 2024-2025 -Remote
Portland, OR · Remote
$139K - $168K/yr
At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition
Internship Tesla Machine Learning Engineer information
What is the difference between Internship Tesla Machine Learning Engineer vs Data Scientist Intern?
| Aspect | Internship Tesla Machine Learning Engineer | Data Scientist Intern |
|---|---|---|
| Required Credentials | Relevant coursework, programming skills, possibly some machine learning knowledge | Statistics, data analysis, programming skills, often some machine learning understanding |
| Work Environment | Hands-on projects in AI/ML teams at Tesla, collaborative, fast-paced | Data analysis tasks, reporting, modeling in various departments, collaborative |
| Employer & Industry Usage | Tesla, automotive, AI, and autonomous driving sectors | Various industries including tech, finance, healthcare, often within data teams |
Both roles involve data and programming skills, but the Tesla Machine Learning Engineer internship focuses more on developing AI/ML models for autonomous systems, while Data Scientist Internships typically emphasize data analysis and insights across different business areas.
What types of projects do Machine Learning Engineer interns at Tesla typically work on, and how much ownership do they have over their work?
Machine Learning Engineer interns at Tesla are often involved in projects that directly contribute to the development of advanced AI systems, such as autonomous driving, predictive analytics, or manufacturing optimization. Interns are typically given meaningful, hands-on tasks and are expected to take significant ownership of specific components or models within a larger project. Collaboration with senior engineers and cross-functional teams is common, providing exposure to Tesla's fast-paced, innovative work culture. Interns also have opportunities to present their work to leadership and receive mentorship, which can be valuable for future career growth.
What does an Internship Tesla Machine Learning Engineer do?
An Internship Tesla Machine Learning Engineer assists in developing and improving machine learning models used in Tesla’s products and operations. Interns typically work on data preprocessing, algorithm development, and model evaluation under the guidance of senior engineers. Their projects may involve computer vision, natural language processing, or predictive analytics applied to Tesla’s vehicles, manufacturing, or autonomous driving systems. The internship offers hands-on experience with real-world data and cutting-edge technology, helping students build valuable industry skills.
What are the key skills and qualifications needed to thrive as an Internship Tesla Machine Learning Engineer, and why are they important?
To thrive as an Internship Tesla Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning principles, often supported by progress toward a relevant bachelor’s or master’s degree. Familiarity with Python, TensorFlow or PyTorch, and experience using data processing tools and version control systems are typically required. Strong problem-solving, communication skills, and the ability to collaborate effectively in a fast-paced team environment will set you apart. These skills and qualities are crucial for contributing to high-impact projects and advancing cutting-edge AI solutions at Tesla.
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Contractor
Posted 25 days ago
Job description
Job Description
Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract
Experience Level: 5+ years of experience
Required Qualifications
Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related field
5+ years of experience in machine learning, data science, or AI engineering
Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)
Experience with time-series data analysis and anomaly detection
Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models)
Experience building or working with knowledge graphs (Neo4j, RDF, graph databases)
Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis)
Experience deploying ML models in production systems
Strong problem-solving skills and ability to work with complex, real-world datasets
Preferred Qualifications
Experience with fault tree analysis (FTA), reliability engineering, or failure analysis
Background in industrial systems, semiconductors, manufacturing, or IoT environments
Experience with graph-based ML / Graph Neural Networks (GNNs)
Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams)
Experience with vector databases, RAG systems, or LLM-based reasoning
Knowledge of MLOps practices (CI/CD, monitoring, model governance)
Experience working in air-gapped or high-security environments
Additional Information
All your information will be kept confidential according to EEO guidelines.