Senior Machine Learning Engineer

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Date: Oct 6, 2024

Location: North Reading, MA, US

Company: Teradyne

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We are the global test and automation specialists, empowering next-generation technologies with our sophisticated solutions. At Teradyne, we ensure that every electronic device you use functions flawlessly from the get-go. Our comprehensive suite of automation solutions facilitates manufacturers in accelerating product development and delivery in a cost-effective manner. Join us to be a part of delivering manufacturing automation across various industries around the globe!

 

Organization & Role:

Teradyne stands at the forefront of technological advancement, fueled by creativity and a diversity of thought. We’re on the lookout for an experienced Machine Learning Scientist to bolster our dynamic, innovative team. This role involves shaping our AI/ML strategy and contributing to the development of AI-driven solutions for our Semiconductor Test division products. You will be instrumental in researching, designing, implementing, and testing groundbreaking solutions within a collaborative team setting.

 

Responsibilities:

  • Collaborate with cross-functional teams to comprehend company objectives and identify challenges where AI/ML solutions can stimulate substantial business growth. 

  • Research, prototype, and evolve the company’s AI/ML strategy to meet and exceed our technological aspirations.  

  • Develop and implement machine learning models tailored to customer requirements, ensuring alignment with their specific needs and objectives. 

  • Lead the implementation of ML solutions, providing technical guidance for new and existing projects. 

  • Remain abreast of AI/ML advancements to position the company at the cutting edge of new opportunities. 

 

Required Experience:

  • Proven technical expertise in AI, deep learning, and data science with a comprehensive understanding of machine learning algorithms through the stages of data collection, data preparation, algorithm development, model deployment, and performance evaluation.  

  • Skilled in using ML operational tools such as HuggingFace, OpenAI, Weights and Biases, coupled with a solid understanding of cloud environments, particularly Azure and its AI services.  

  • 3+ years of experience in building deep learning products, platforms, or solutions with a commitment to data-centric decision-making processes.  

  • Proficient in Python programming, applying object-oriented design principles, and implementing scalable cloud-based solutions. Knowledge of financial implications, as well as security and compliance issues, is advantageous.  

  • Excellent communication skills, capable of effectively conveying ideas, methodologies, and outcomes to an international team. 

  • Adept at working with distributed teams and flexible in collaborating across multiple time zones. 

  • Extensive expertise in semiconductor testing and over 3 years of experience in collaborating with customers to develop and optimize tailored testing solutions. 

 

Preferred Qualifications:

  • Proficiency in PyCharm, Microsoft Visual Studio or Visual Studio Code. 

  • Understanding of legal/IP issues in ML/AI and experience in formulating AI strategies. 

  • Familiarity with MLOps tools and Windows Desktop Application development in Java, C# or C++. 

  • Deep domain knowledge in IC Test and familiarity with Teradyne platforms is a plus. 

 

Education:

  • Bachelors/Masters/PhDs in Computer Science, Electrical and Computer Engineering, or a related field.

 

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Please note: Teradyne is not considering candidates who require sponsorship for this position.

 

 

 


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