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    2024 Fall Co-Op - Boston, MA, United States - Jobtorob

    Jobtorob
    Jobtorob Boston, MA, United States

    1 week ago

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    Description

    2024 Fall Co-Op - Machine Learning Engineer (NLP & Vision)

    Walmart Advanced Systems & Robotics, formerly known as Alert Innovation, is now an integral part of the global Walmart organization. This fast-growing, Boston-based team of engineering and technology experts specialize in developing cutting-edge solutions for Walmart. Today, our focus is on rapidly scaling advanced automation technologies and systems that improve retail operations and customer experiences.

    Needed key skills

    • Software Architect
    • Software Developer

    Requirements:

    Currently pursuing an MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.Knowledge in machine learning, deep learning, NLP, and Computer Vision.Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.Familiarity with data processing tools, such as Pandas and NumPy.Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.Passion for learning and staying up-to-date with the latest advancements in machine learning, NLP, and Computer Vision.Self-motivated, detail-oriented, and able to work through ambiguity.Desire to take ownership of projects and contribute to a positive, collaborative, and inclusive team culture.

    Responsibilities:

    Assist in the development, implementation, and optimization of machine learning models and algorithms for NLP and Computer Vision applications.Collaborate with cross-functional teams to understand project requirements and contribute to the development of solutions.Conduct research on cutting-edge techniques and tools in machine learning, NLP, and Computer Vision.Participate in the evaluation of model performance and contribute to improvements ensuring accuracy and efficiency.Document and present project progress, findings, and insights to both technical and non-technical stakeholders.

    EXCLUSIVE BENEFITS FOR OUR FULL-TIME TEAM MEMBERS:Comprehensive Health Care Options: Choose from a range of health plans tailored for you, and extend those benefits to your dependents.Unlimited PTO: Salaried employees receive unlimited paid time off for vacation, holidays, and personal days.Eye & Dental Care: We've got you and your family covered with top-notch vision and dental insurance.Secure Your Future: Take advantage of our competitive 401(k) matching, stock purchase plans, and equity opportunities.Peace of Mind: Comprehensive life and disability insurance options.Parental Leave: Embrace the joys of parenthood with up to 12 weeks of fully paid maternity/paternity leave.Exclusive Discounts: Shop and save with special Walmart discounts, both in-store and online.Dine & Energize On Us: Enjoy daily complimentary lunches, beverages, and a variety of snacks to keep you fueled throughout the day.Join us and experience the best in employee care and benefits

    Another info

    Walmart Advanced Systems & Robotics is a rapidly expanding initiative with the objective of revolutionizing the retail landscape through robotics. Our development and implementation of the cutting-edge Alphabot technology are currently underway, with deployment in stores across North America.We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. This internship is an excellent opportunity for MS or PhD candidates to gain hands-on experience, take ownership of projects, and contribute to the development of our state-of-the-art robotic inventory management system.As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.

    #J-18808-Ljbffr
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