Machine Learning Engineer

Renewance Inc. is a pioneering technology company that provides cradle-to-grave stewardship solutions for industrial batteries in the energy and motive industries. Our innovative RenewanceConnect product is a cloud-based software platform designed to optimize service transactions. Our comprehensive services encompass asset management (monitoring, operations & maintenance), battery commissioning, battery decommissioning, warranty management, regulatory compliance, and a marketplace facilitating used batteries' transactions after being graded by Renewance.

Renewance is seeking a talented and experienced Machine Learning Engineer to join our engineering team. The ideal candidate will be responsible for developing machine learning tools integrated with RenewanceConnect, providing educated guidance on all aspects of battery life cycle management, leveraging both internal and external data sources. For this role, we will consider relocation for top candidates!

Responsibilities:

• Model Development:
  • Develop, train, and refine machine learning models using internal and external data sources.
  • Implement natural language processing (NLP) techniques for effective chatbot interactions.
  • Ensure models are optimized for accuracy, performance, and scalability.
• Data Management:
  • Collect, clean, and preprocess data from various sources, including internal databases and external APIs.
  • Create and maintain data catalogs for efficient data access and management.
  • Ensure data integrity and compliance with regulatory standards.
• Integration and Deployment:
  • Work closely with the engineering team to integrate machine learning models into the RenewanceConnect platform.
  • Monitor and evaluate performance of deployed models, making necessary adjustments and improvements.
• Collaboration:
  • Collaborate with cross-functional teams, including product managers and software engineers, to understand user requirements.
  • Provide training and support to internal teams on leveraging the machine learning tool.
• Research and Innovation:
  • Stay up to date with the latest advancements in machine learning and data science.
  • Propose and implement innovative solutions to improve battery life cycle management processes.

Requirements:

• Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field; Master's or Ph.D. preferred.
• 5+ years of experience as a Machine Learning Engineer, Data Modeling Engineer, or similar.
• Proven experience implementing Natural Language Processing into chatbots and deploying into production.
• Strong proficiency in machine learning frameworks (e.g., XGBoost, PyTorch, TensorFlow) and Python.
• Familiarity with cloud platforms (e.g., AWS) and data management tools.
• Excellent problem-solving skills and adaptability in a fast-paced, collaborative environment.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Benefits:

• Annual Bonus
• Paid Time Off (PTO): 15 days of paid time off annually
• 401(k) with company match
• Insurance Plans: Basic Life, Accidental Death & Dismemberment (AD&D), Short-term and Long-term Disability
• Health Plans: Choice between Preferred Provider Organization (PPO) or Health Savings Account (HSA)
• Dental and Vision Plans: Comprehensive coverage available

Renewance is an equal-opportunity employer and values diversity in the workplace. We encourage candidates from all backgrounds to apply. If you are passionate about shaping the future of sustainable energy solutions and possess the skills and experience outlined above, we invite you to join our team and contribute to the success of Renewance. To apply, please submit your resume detailing your relevant experience and why you are an ideal candidate for the Machine Learning Engineer position at Renewance.