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Weekend Machine Learning Jobs in Woburn, MA (NOW HIRING)

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale production-grade data and machine learning pipelines that drive measurable business outcomes. You'll ...

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from ...

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation ...

Showing results 41-60

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Software Machine Learning Engineer

Teradyne

North Reading, MA • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
Teradyne is a company that values creativity and diversity, fostering an inclusive culture for its employees. They are seeking a Machine Learning Engineer to design, develop, and deploy applied AI solutions, emphasizing collaboration with cross-functional teams to build scalable ML systems that provide explainable insights.
Responsibilities:
• Design and implement pipelines for training, evaluation, and deployment of ML models.
• Apply graph ML methods to model relationships in structured and unstructured data.
• Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks.
• Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems.
• Collaborate with software, product, and application engineering teams to integrate ML solutions into production systems.
• Assist in defining evaluation metrics and validation strategies for ML models.
• Work with internal stakeholders to understand engineering workflows and translate them into ML-driven solutions.
• Contribute to improving ML infrastructure, tooling, and best practices.
Qualifications:
Required:
• 2+ years of experience in machine learning, applied AI, or related fields.
• Hands-on experience building and deploying ML models.
• Exposure to production ML systems (MLOps, monitoring, deployment) is desirable.
• Ability to work collaboratively across teams.
• Strong analytical and problem-solving skills.
• Basic understanding of software engineering practices and version control.
• Ability to work cross-functionally with product, software, and hardware teams.
• Strong communication skills; comfortable engaging directly with customers and stakeholders.
• Strong problem-solving and reasoning skills.
• Master’s or Ph.D. in Computer Science, Electrical Engineering, or related field (or equivalent industry experience).
Preferred:
• Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen, etc.) is a plus.
Company:
Teradyne is a supplier of automatic test equipment used to test complex electronics used in consumer electronics. Founded in 1960, the company is headquartered in North Reading, USA, with a team of 5001-10000 employees. The company is currently Late Stage.