Remote Machine Learning Engineer, Applied

Description:

• Work at the intersection of ML engineering and research to solve complex problems at Trace Labs.
• Collaborate with the computer vision team while focusing on product-oriented solutions across various data types.

Requirements:

• BS in Computer Science, Electrical Engineering, Mathematics, Aerospace, or related field; MS is a plus.
• 2+ years of hands-on experience training deep learning models on real-world data.
• Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX).
• Strong understanding of ML fundamentals, including architectures and optimization.
• Experience with messy, real-world data (video, time series, sensor streams).
• Demonstrated ability to ship models quickly and effectively.
• High agency and willingness to tackle diverse problems.

Benefits:

• Opportunity to define the data layer for physical AI.
• Access to large-scale data resources from day one.
• Real ownership of models that impact production outcomes.
• Opportunities for professional growth in ML and system complexity.