ML Scientist (Applications) - Senior I/II, Staff

ML Scientist (Applications) - Senior I/II, Staff

Location: Bay Area / US Remote

About Us: Join the Albert Invent AI/ML Team, where we push the boundaries of AI to drive groundbreaking innovation in the chemistry and materials science domain. Our mission is to develop cutting-edge machine learning (ML) solutions that transform research, accelerate discovery, and create impactful solutions across various industries. We are a collaborative, agile, and forward-thinking team that values creativity, technical expertise, and interdisciplinary partnership.

Albert is at the forefront of innovation in chemical R&D, seamlessly merging data management, automation, and machine learning to accelerate scientific discovery and optimization in complex domains. Our platform integrates robust data management with cutting-edge AI capabilities, enabling chemists and researchers to explore, design, and optimize formulations and processes like never before. Trusted by global leaders and built with user-centric design, Albert's solutions foster collaboration, secure data management, and scalable insights across laboratories worldwide. Join our mission to redefine the intersection of technology and chemistry through transformative, intelligent solutions.

What You’ll Do:

• Customer Collaboration: Partner directly with customers to understand their specific challenges related to formulation optimization and materials discovery. Act as a technical advisor, guiding them through problem formulation and the application of advanced ML techniques.
• Utilize Advanced ML Tools: Leverage a sophisticated Bayesian optimization engine powered by ML models to help customers explore solution spaces, discover new materials, and optimize complex formulations efficiently.
• Customized Solution Development: Tailor ML solutions to meet the unique needs of customers’ projects, ensuring that the ML tools effectively drive project success.
• Technical Consultation: Provide expert advice on the best practices for data preparation, feature engineering, model interpretation, and optimization strategy to maximize the value derived from the optimization engine.
• Iterative Problem Solving: Work closely with customers to iteratively refine model inputs and outputs, ensuring results are actionable and aligned with project goals. Collaborate on experiment designs to validate the effectiveness of proposed formulations.
• Training and Support: Develop and deliver comprehensive training sessions to customers on how to best utilize the ML-driven optimization engine and related tools, ensuring self-sufficiency and ongoing success.
• Documentation and Reporting: Maintain detailed documentation of project interactions, solutions provided, and insights gained. Communicate complex technical results effectively in written reports tailored to customer needs.
• Feedback Loop for Product Improvement: Collect feedback from customer engagements to inform the development team about potential enhancements to the inverse design engine, contributing to continuous product improvement.
• Cross-Functional Partnership: Work with internal product and engineering teams to ensure customer requirements are incorporated into future product updates and feature expansions.
• Thought Leadership: Share knowledge gained from customer projects with internal teams through presentations or workshops to foster continuous learning and improvement.

Qualifications:

• Education: Master’s, or Ph.D. in Chemistry, Materials Science, Chemical Engineering, or related field.
• Experience: 4+ years of experience in industry as an ML engineer, with a focus on projects involving chemical or materials science applications.
• Technical Skills:
• • Thorough understanding of Bayesian optimization fundamentals.
  • Strong background in machine learning model design, including deep learning, ensemble methods, and unsupervised learning techniques.
  • Proficiency in Python and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud-based ML infrastructure (AWS, GCP, Azure) for scalable data processing and deployment.
  • Hands-on experience developing and deploying ML pipelines and modular software components.
  • Knowledge of chemical data formats (e.g., SMILES, InChI) and cheminformatics tools (e.g., RDKit, CDK, etc…).
• Preferred Skills:
• • Experience applying Bayesian optimization to materials and chemicals design.
  • Background in processing and analyzing chemical data, including formulation, or other experimental data.
  • Knowledge of UNIX scripting and experience with version control (Git).
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).
  • Bonus: Additional programming languages (C/C++, Go) and data versioning tools.
• Soft Skills:
• • Excellent problem-solving skills, capable of structuring and solving complex ML challenges independently.
  • Ability to effectively communicate advanced technical concepts to both technical and non-technical audiences.
  • Strong organizational skills and an ability to manage multiple projects, balancing timelines and priorities.

Culture and Benefits:

• Collaborative Environment: We thrive on teamwork and encourage a culture of openness and idea sharing.
• Continuous Learning: Regular opportunities for skill development through workshops, conferences, and knowledge-sharing sessions.
• Agile Methodology: Participate in an iterative development cycle that values feedback and continuous improvement.
• Impactful Work: Be a part of creating transformative solutions in the chemistry industry that have real-world implications.

Ready to Make a Difference? If you’re a driven, innovative ML engineer with a passion for chemistry and cutting-edge technology, we’d love to hear from you. Join us at Albert Invent and help shape the future of data-driven discovery in the chemical space. We look forward to building the future with you!

About Albert Invent: Albert Invent is a fast-growing private company that develops an innovative SaaS data management system for the chemical industry. Our platform is a data-first ecosystem designed to organize chemical workflows and enable the direct (and automated) collection of clean and structured data to enable data-driven engineering in the chemical industry. Our platform is currently in use by thousands of scientists worldwide at some of the world’s largest chemical and materials manufacturers. 

Albert’s mission is to improve the way chemical researchers interact with data and AI to help drive innovation and accelerate the development of novel materials. We see a world where every innovator is equipped with the tools, insights, and freedom they need to do their best work. Work that enables them to invent the future faster.