Staff Machine Learning Engineer

February 16

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🏖️ New Jersey – Remote

Although this job is listed in New Jersey, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote

💵 $188k - $225k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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design • manufacturing • logistics • value-add services • electronics

60120 - 60120 employees

📋 Description

• Own the end-to-end lifecycle of machine learning projects, from data collection and preprocessing to model deployment, monitoring, and maintenance in a production environment. • Build, maintain, and optimize robust data pipelines that support model development, training, and deployment at scale. • Implement machine learning algorithms and models that meet performance, scalability, and reliability requirements in a production setting. • Collaborate with data scientists, engineers, and product teams to design and deploy machine learning systems that address business and product needs. • Continuously monitor and improve model performance, conducting experiments, tuning hyperparameters, and ensuring models meet business objectives. • Leverage distributed computing frameworks and cloud-based platforms to process large-scale datasets efficiently. • Stay up-to-date with the latest advancements in machine learning, software engineering practices, and deployment strategies to keep our systems cutting-edge.

🎯 Requirements

• Master’s or Ph.D. in Computer Science, Engineering, or a related field. • 6+ years of experience as a Machine Learning Engineer, with expertise in building and deploying machine learning models in production environments. • Strong proficiency in Python, or similar programming languages, and experience with ML libraries like TensorFlow, PyTorch, and scikit-learn. • Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark, Kubernetes). • Proven track record of implementing end-to-end machine learning pipelines, from data preprocessing to production deployment and monitoring. • Strong background in model optimization, version control, and CI/CD practices for machine learning. • Excellent problem-solving abilities and the capacity to collaborate with cross-functional teams to deliver high-quality, production-ready systems.

🏖️ Benefits

• Competitive pay • 100% company-paid medical, dental, and vision • 401(k) + company equity • Unlimited paid time off with a PTO minimum + 13 company paid holidays • Parental leave • Flex Cares Program: Non-profit company match + pet adoption coverage • Free Flex subscription