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

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 ArchitectSoftware DeveloperRequirements: 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.#J-18808-Ljbffr