Machine Learning Engineer

February 26

🏄 California – Remote

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

💵 $140k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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NobleAI

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NobleAI is a cutting-edge artificial intelligence company that stands out as one of the hottest AI startups to watch for 2024. The company specializes in developing science-based AI models and offers a cloud-based platform called Noble VIP, designed to accelerate product innovation across various industries. NobleAI's technology solves complex problems related to chemicals, materials, formulations, and energy, delivering high-performing, safe, and sustainable solutions in software. The company's Science-Based AI architecture incorporates scientific principles and constraints, reducing data requirements and protecting data privacy. NobleAI serves diverse sectors, from consumer packaged goods to building materials, by providing tools for insightful predictions, optimized designs, and explainable AI, thereby minimizing trial and error in innovation.

Artificial Intelligence • Software • R&D • Machine Learning • Product Development

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

⚡ Energy

🔬 Science

💰 Seed Round on 2019-03

📋 Description

• At NobleAI, we believe that material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. • NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. • We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products. • We're a team of excellence-driven individuals, valuing thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster. • As a Machine Learning Engineer (MLOPS) at NobleAI, you will deliver the capability to deploy models and data using cloud-managed and open-source toolset and services. • The ML Engineer with an MLOps focus is responsible for working closely with research and engineering teams to design and enable platform features that allow batch and real-time inferences. • You will also provide engineering best practices and create templates and self-service modules to accelerate research scientists and other ML engineers to automate and shorten the path to production deployments. • You will build configurable, scalable software modules that can be used to standardize deployments for batch and real-time requirements. • Join us in building a more sustainable world through the power of AI and scientific innovation.

🎯 Requirements

• MSc Degree in Computer Science or a related field • Understanding of machine learning algorithms and techniques • 3+ years of experience in building and deploying ML systems • 3+ years of experience working with Python and MLOps tools, including Docker, Kubernetes, KubeFlow, TensorFlow, PyTorch, Sagemaker, MLFlow • 2+ years of cloud experience (AWS or Azure ML Platforms) • 3+ years of experience in Software Engineering practices such as version control, testing, DevOps (build pipelines, CI/CD), and Python package management • Demonstrated ability to communicate complex technical details at a high level effectively

🏖️ Benefits

• Top tier health benefits coverage including medical, dental, vision, disability and life insurance • Generous Paid Time Off & Holidays • Remote workforce with access to co-working offices • 401(k) plan with employer match • Equity package • Performance-based bonus plan • Base Salary Range $140k - $180k per year, depending on experience and geographic location