About Pulsenics

Pulsenics is catalyzing novel breakthroughs for electrochemical technologies that decarbonize our planet. Pulsenics’ innovation is the first to apply advanced spectroscopy techniques to industrial electrochemical applications, at scale, to target the industry’s energy waste problem. Our mission is to change how the industry, making up 15% of the world’s GDP, uses its energy.

“Pulsenics” means “Pulse Generation.”

True to its name, our proprietary hardware injects non-disruptive electrical pulses into an electrochemical system to extract a unique signature for its State-of-Health. When combined with our Data Management Software, this untapped data unlocks fundamental insights that lead to the most energy efficient operations, at scale.

Pulsenics hardware and software is currently being used by customers around the world to improve electrochemical system design and performance. Pulsenics’ customers run diverse electrochemical systems ranging from fuel cells and batteries to wastewater treatment and metallurgy.

At Pulsenics, you will have the opportunity to have a direct impact on the development of our next generation hardware and software products, alongside our world-class team of innovators and engineers!

Responsibilities: 

• Design, develop, and optimize AI and machine learning models specific to electrochemical applications, including fuel cells, batteries, and industrial systems.
• Select, evaluate, and refine model architectures to meet performance, scalability, and deployment requirements.
• Collaborate closely with the application and engineering teams to integrate AI capabilities into customer-facing and internal solutions.
• Build and maintain robust data pipelines for collection, preprocessing, training, validation, and inference.
• Conduct experiments and iterative testing to improve model accuracy, generalization, and robustness.
• Monitor and analyze model performance post-deployment to ensure ongoing reliability and compliance.
• Apply advanced techniques such as model quantization, pruning, or distillation to improve inference speed, resource efficiency, and deployment versatility.
• Document development workflows, experimental results, and key insights for internal knowledge sharing and future reference.
• Stay informed on state-of-the-art AI research and translate relevant advancements into practical solutions.

Requirements:

• Available to start immediately.
• A degree (completed or pursuing) in Computer Science/Engineering, Electrical Engineering, Data Science, or a related field with a focus on machine learning and artificial intelligence.
• Previous internship or hands-on experience in developing, training, and deploying ML models in real-world or production environments.
• Proven track record in AI/ML model development, particularly for electrochemical applications such as battery diagnostics, fuel cell analysis, or similar systems.
• Proficiency in Python and key libraries including Pandas, matplotlib, NumPy, SciPy, scikit-learn, etc.
• Deep understanding of machine learning fundamentals, including supervised and unsupervised learning, optimization, and model evaluation metrics.
• Strong experience in building scalable and maintainable ML pipelines, from data ingestion to model deployment.
• Familiarity with deployment optimization strategies.
• Excellent analytical and problem-solving skills with strong attention to detail.
• Effective written and verbal communication skills, with the ability to collaborate across cross-functional teams.
• Demonstrated initiative, independence, and ability to manage project priorities in a fast-paced, innovation-driven environment.‍

Interested in Applying?

Pulsenics is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. We strongly believe that the diversity of our employees is one of our greatest assets, and, to that end, are committed to fostering an inclusive and welcoming work environment.

All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status are encouraged to apply.

If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.