Senior Machine Learning Engineer

Remote
ML engineering /
Full-time /
On-site
Build a better sustainable world!

Consumer packaged goods (CPG) companies all over the world – including names you already have in your fridge, toiletries bag, make-up case, and pantry – rely on Turing’s AI technology to create new products faster, safer, smarter, and leaner. With our industry-leading platform, we leverage data and combine industry-specific AI technology to create new products 10x faster than the existing physical trial-and-error process.

Turing Labs is a Series A funded company backed by Insight Partners, Y-combinator, Moment Ventures, and several industry leaders. 

The Turing team has decades worth of experience and passion for creating the next generation of products. Today, we employ some of the world’s best machine learning algorithms – and the people who create them – to help drive product innovation that impacts billions of people’s lives. 

You can learn more about our journey and where we are going on TechCrunch, VentureBeat, The Wall Street Journal, Business Insider, and Forbes

Join one of the fastest-growing SaaS on the path of becoming the default platform for product development.

As a Senior Machine Learning Engineer, you will develop cutting-edge algorithms and production machine learning systems for consumer product innovations. You will lead the development of long-term Turing Platform AI/machine learning capabilities.

Responsibilities:
Work closely with the Product, Design and Engineering teams to build AI-powered components (such as visualization, explanation, and Copilot) and to define best-practices usage of the components in a CPG product development workflow.
Deliver a state-of-the-art platform that helps our customers innovate CPG products
more quickly.
Research, prototype and productionize state-of-the-art machine learning algorithms and systems in Turing Lab’s AI platform.

You are a good fit if you:
● 3+ years of professional experience in machine learning and a Ph.D. in Computer Science, Applied Mathematics, Chemistry, Biology, Physics, Material Science, or Chemical Engineering with doctoral research in the mathematical & computational modeling of chemo/bio/physical systems.
● Proven track record of deploying and maintaining machine learning algorithms in a production system.
● In-depth understanding of supervised and unsupervised machine learning algorithms.
● Proficiency with modern data science stacks (e.g., SciPy, NumPy, Pandas, PyTorch).
● Excellent communication skills.

You are an even better fit if you have industry experience in the following:
● Consumer Packaged Goods (CPG).
● Bayesian Optimization and statistical sequential experimental design.
● Probabilistic Graphical Models, Bayesian inference, and probabilistic programming frameworks (Stan, Pyro, Tensorflow).
● Application of Generative AI technology.
● SaaS platform design.
$140,000 - $275,000 a year
Benefits

* Platinum level medical insurance 100% covered by Turing
* $1,500 home office budget
* Unlimited PTO + 10 Federal Holidays
* 401k employer match
* Dental & Vision insurance

Turing Labs is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Turing Labs considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Turing Labs is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.