Our Story!

At Turing, we’re driven to build software that helps Consumer Packaged Goods (CPG) companies make products that are safer, smarter, and leaner. Our platform uses data, AI, and technology that enable CPG companies to develop best-quality innovative products 10x faster.
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Simply put, we are disrupting the 120-year process of developing products. Backed by Y-combinator and other Silicon Valley investors, we are experiencing rapid success with the biggest brands and household names in the business.   Read about us at TechCrunch, The Wall Street Journal, Business Insider, and Forbes.

Our customers say Turing is the fastest way to develop new products. Turing has proven to be the most accurate ML engine outperforming DIY data science software and tech giants.
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Founders have decades of domain and engineered top 1% ML algorithms. We are a tiny but mission-driven warrior team. Join us as senior machine learning engineer to solidify the foundation of our software and scale up with industry-disrupting features.

We have great head-start!

Many of the world’s leading brands use Turing to innovate new products. Few of the fortune companies rate our algorithm as one of the most accurate AI engine. We’re growing quickly; new customers go on the waitlist. We’re remote-friendly, YC backed+other notable SV investors, and well-funded.
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Read more about Turing on TechCrunch, Business Insider, Forbes, and WSJ.

To meet the scalability goals, we are looking for a seasoned machine learning engineer to lead, strategize, and develop state-of-the-art algorithms in Turing platform. You will deliver the features end-to-end, from Jupyter notebook prototypes to production in our tech stack.

You will have outstanding opportunity to learn a new domain, work closely with founders, voice your opinion, make ML engineering decisions, participate in strategic decisions, and directly shape the future of Turing platform.

Responsibilities

1. Deliver state-of-the-art, causal algorithms to production for optimizing consumer product metrics
2. Automate data pipelines
3. Build and maintain the infrastructure for data and model management
4. Work closely with the Turing design and engineering teams for ML-adjacent components, such as viz, ad-hoc data analysis, and data processing
5. Give talks, write blog posts, and produce peer-reviewed publications
6. Define and lead the development of longer-term Turing Platform capabilities.

Requirements:

1. Either 3+ years of professional experience with ML or quantitative analysis, or Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or Physics
2. Excellent programming and algorithmic skills
3. Proficiency with Python and experience with data processing tools (e.g., scipy, numpy, pandas, Pytorch, and Spark)
4. In-depth understanding of supervised and unsupervised machine learning algorithms. Knowledge of engineering causal models and CNN a huge advantage
5. Proven track record of applying learning algorithms in a production system
6. Thorough knowledge of data structures, algorithms, profiling/optimization
7. Demonstrated end-to-end ownership of projects
8. Stellar listening and explanation skills.

Compensation & Perks

1. Culture you would fall in love with!
2. Competitive salary with generous equity. You get to join the company at the most advantageous stage
3. Work flexibility
4. Migration - support to migrate any where in US or to Canada

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To apply, send your resume to careers@turingsaas.com

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