Software Engineer, Machine Learning
March 16
🏢 In-office - Bay Area
Description
• Responsible for end-to-end ownership of scalable Machine Learning systems - from data pipelines to training, to analyzing performance in a production environment • Design and train new production-ready machine learning models • Collect, process, and analyze data • Analyze and improve existing models • Wear multiple hats and thrive while working in a dynamic environment
Requirements
• At least 3 to 5+ years of professional experience designing, training, and deploying machine learning models • Strong computer science foundation, including data structures, algorithms, and design patterns • Expertise in Python demonstrated by implementing multiple medium to large-scale projects • Proven ability to implement and debug machine learning models • Excellent communication skills • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, Keras, TensorFlow, PyTorch) • Industry experience with relational databases and SQL-based tools • BSc in Computer Science, Mathematics, or similar field; Master’s or Ph.D. degree is a plus • Self-starter and comfortable working in an early-stage environment • Experience with big data pipeline technologies such as BigQuery, SnowFlake, Spark, Kafka • Research experience in machine learning or artificial intelligence related field • Contributions to open source ML projects • Experience working on logistics or shipping-related products • Experience with Agile development
Benefits
• Opportunity to work in an early-stage startup environment • Chance to lead the development of new machine learning models • Experience working with highly experienced ML engineers and tech industry veterans • Backed by leading computing and technology companies
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