October 30
πΊπΈ United States β Remote
β° Full Time
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
β’ SpreeAI is a fast-growing, innovative AI technology company focused on revolutionizing ecommerce and fashion landscapes. β’ Conduct cutting-edge research in computer vision, machine learning, and large foundational models. β’ Develop scalable AI models and algorithms for our Virtual Tryon product line. β’ Receive mentorship from senior AI researchers and engineers throughout the program. β’ Work closely with teams from across SpreeAIβs ML department to turn research into deployable solutions. β’ Work on the full lifecycle of AI models, from ideation and research to training, testing, and deployment. β’ Conduct research and experiments to push the state of the art in AI. β’ Tackle complex challenges in AI, using advanced techniques in machine learning. β’ Build and refine prototypes to demonstrate the potential of new AI technologies and algorithms. β’ Partner with AI residents, research scientists, engineers, and product teams to create innovative AI solutions.
β’ Education: Bachelor's, or Master's. in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or a related field with a minimum GPA of 3.2/4.0 or 8.0/10 is. Candidates with equivalent practical experience are also encouraged to apply. β’ Mathematic Skills: Proven solid mathematics background. β’ Programming Skills: Proficiency in one or more programming languages commonly used in AI and machine learning, such as Python or C++. Experience with AI/ML libraries and PyTorch. β’ Machine Learning Expertise: Solid understanding of machine learning, deep learning algorithms, and model evaluation techniques. β’ Problem-Solving Skills: Demonstrated ability to analyze complex problems, create hypotheses, and deliver creative and effective AI solutions. β’ Teamwork: Strong interpersonal skills and the ability to work effectively in a collaborative, fast-paced environment.
β’ Mentorship: Access to industry-leading experts in AI research and development. β’ Networking: Build relationships with fellow residents, senior AI researchers, and professionals across the AI community. β’ Publication Opportunities: Co-author research papers for publication in top AI and ML conferences. β’ Career Growth: Gain hands-on experience that can lead to future roles in AI research or engineering at SpreeAI or elsewhere in the industry. β’ Competitive Stipend: Receive a competitive salary with benefits during the program duration.
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