As a Senior Machine Learning Engineer, you will develop cutting-edge algorithms for consumer product development. You will work with design and engineering teams to create intelligent workflows on the Turing platform. Ultimately, you will drive the innovations that benefit millions of people’s lives.
Responsibilities
- Deliver state-of-the-art, causal algorithms to production for optimizing consumer product metrics
- Build and maintain the infrastructure for data and model management
- Work closely with the Turing design and engineering teams for machine learning-adjacent components, such as visualization, ad-hoc data analysis, and data processing
- Give talks, write blog posts, and produce peer-reviewed publications
- Define and lead the development of longer-term Turing Platform capabilities.
Requirements:
- Have 3+ years of professional experience in machine learning or quantitative analysis or have a Ph.D. in Computer Science, Statistics, Mathematics, or Physics
- Have excellent programming and algorithmic skills
- Are proficient with Python and experience with data processing tools (e.g., SciPy, NumPy, Pandas, PyTorch, and Apache Spark)
- Have an in-depth understanding of supervised and unsupervised machine learning algorithms. Knowledge of engineering causal models and convolutional neural networks a big plus
- Have a proven track record of deploying learning algorithms in a production system
- Have demonstrated end-to-end ownership of projects
- Have stellar listening and explanation skills.
Benefits.
- Remote-friendly work environment
- Collaborative culture
- Mentorship from machine learning pioneers
- Competitive salary with generous equity. You get to join the company at the most advantageous stage
- Directly impact the growth of the company
- Play a significant role in strategizing the product roadmap
- Reimbursement of home-office setup
Turing Labs Inc.
