About Liminal
Our mission is to accelerate the clean energy transition by decreasing the cost and improving the quality of battery manufacturing. We are pioneers in advanced process inspection & manufacturing intelligence solutions in the battery industry. Our EchoStat® platform uses ultrasound and data analytics to deliver unique insights that create value in battery production by speeding up time-to-market for new batteries, accelerating yield ramp for new production processes, and improving steady-state productivity.
Our Culture and Values
- We are dedicated to building a world-class, world-positive company.
- We work closely on a foundation of mutual trust and informed decisions.
- We value personal growth, continuous learning, and safety.
- We believe the most innovative teams are inclusive of and celebrate all forms of diversity.
Role
As an applied machine learning scientist at Liminal you will join a small, nimble team of engineers creating cutting-edge battery inspection equipment. You will be an integral part of researching new modeling techniques to use with the data produced by this equipment, developing a deeper understanding of the data's relationship to a battery's production history and performance, and exploring new use cases for this data based on customer interest.
On a typical day, you may: design and implement algorithms for distilling ultrasonic signals into meaningful features, and correlate those features with performance data; research and develop new models and algorithms; explore new techniques to better provide value with our inspection equipment; work with our engineers to optimize, automate, and integrate new algorithms into production; or communicate your work to stakeholders with varied backgrounds.
You value careful listening, thoughtful questions, and data-driven discussions. You are comfortable with gathering and distilling information to drive the direction of open-ended projects. The ideal candidate will approach this work with a mixture of intellectual curiosity, thoughtful creativity, and methodical rigor. The ideal candidate gets great satisfaction from seeing people do great things with their work, and above all is excited to solve hard problems that have a positive impact on the world’s clean energy future.
Responsibilities
- Develop machine learning / data solutions to solve real-world problems in battery manufacturing / design for our customers.
- Build predictive models relating measurements from our products to battery performance
- Explore next generation applications and technologies to further expand our product offerings.
- Engineer features to improve our predictive model performance
- Analyze customer and in-house data to provide actionable insights
- Build out data visualization tools to track the status of our products
- Communicate with our engineering and business teams to help drive decisions and influence product direction.
If you don’t meet 100% of the requirements, we still encourage you to apply!
Requirements
Minimum requirements
- PhD or Master’s with equivalent experience (2+ years of ML-focused research) in Science, Technology, Engineering, Mathematics (STEM)
- Experience solving complex, open-ended applied ML problems.
- Proficiency with Python and the Python data stack (Numpy, Scipy, Pandas, Scikit-learn)
- Experience with predictive modeling (Regression, Classification, Clustering, Dimensionality Reduction).
- Familiarity with deep learning frameworks (Tensorflow or Pytorch)
- Practical experience working with real world data acquired from experiments
- Strong communication skills, with a knack for conveying findings to technical and non-technical audiences visually, verbally, and/or in writing
- Ability to extract meaning from data and draw logical and coherent conclusions
Nice-to-haves (bonus skills)
- Experience developing code for modern parallel computing environments (e.g., parallel processing, GPUs, and distributed clusters)
- Experience with signal processing techniques
- Familiarity or exposure to Bayesian statistics
- Experience with federated learning
- Experience with battery data
- Physical intuition about ultrasound data
- Has experience calibrating metrology or inspection equipment
Benefits
- Annual salary of $135,000 to $165,000 based on skill level and experience.
- Competitive compensation and benefits package, including stock options, to help you and your family build a healthy and secure future.
- Group health benefits that provide support for employee well-being and preventative care, including comprehensive medical, dental, vision, and life insurance.
- A retirement program that helps build future financial security through both traditional and Roth 401(k) options with employer matching.
- Flexible working hours and hybrid working model so you can be productive when and how is best for you.
- Generous time-off policy to allow you to renew and refresh through vacation, personal leave, and holidays.
- For new parents, 8 weeks of fully-paid parental leave that you can take at any point during the first year.
Liminal is an equal opportunity employer. We celebrate all forms of diversity, and are committed to creating an inclusive environment for all employees. However you identify or whatever your path here, please apply if this job excites you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the hiring process, perform essential job functions, and receive other benefits and privileges of employment.
