Lead Machine Learning Engineer

The job overview for this position is that Stylitics is seeking a Lead Machine Learning Engineer to join their team and drive innovation through the development and implementation of machine learning models and systems. The role involves leading a team of machine learning engineers and an exploratory data analyst, using technical expertise in machine learning and deep learning to guide and support the team on various projects and applications. The successful candidate will have the opportunity to make a real impact on the success of Stylitics and shape the future of machine learning in the retail industry.

Lead a team of machine learning engineers and an exploratory data analyst to develop and implement machine learning models and systems for a variety of projects and applications

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

Research and apply state-of-the-art techniques in machine learning and deep learning to improve model performance

Train and fine-tune machine learning models using a variety of data sources

Evaluate model performance and suggest improvements

Write clean, efficient, and well-documented code

Mentor and provide technical guidance to team members

Communicate effectively with team members, stakeholders, and other relevant parties

Plan and manage team resources, including project timelines and priorities

• 3+ years of experience working with ML in production environment, with great track record of deploying ML projects to production
• Experience leading and managing a team of machine learning engineers and data analysts
• Bachelor’s or Master’s degree in Computer Science or a related field
• Strong background in applied statistics, applied mathematics, linear algebra, algorithmic design
• Strong technical expertise in machine learning and deep learning, with experience in at least one deep learning framework such as TensorFlow or PyTorch
• Excellent communication skills and the ability to clearly and effectively present technical concepts to both technical and non-technical audiences
• Strong problem-solving skills and the ability to think creatively and strategically
• Experience with data preprocessing and data visualization techniques
• A passion for learning and staying up-to-date with the latest trends and techniques in machine learning and deep learning
• Ph.D. or Master's Degree in Computer Science, Data Science, or Statistics (Nice-to-Have)
• Good understanding of low-level CPU and GPU performance (Nice-to-Have)
• Pytorch Experience (Nice-to-Have)
• Clojure experience (or willingness to learn!) (Nice-to-Have)

• Vision and dental insurance options that are fully covered by us
• Medical plan coverage, with options that start at no cost to you
• Competitive salary along with career planning for the future
• Stock options in a company that is growing rapidly and successfully
• Commuter benefits program
• Company matched 401k plan to help plan for your future
• Generous paid time off policies
• Work events - both virtual and in person
• Access to Gympass - a company paid benefit giving you access to numerous physical and mental well-being needs
• Working with fun, hardworking, nice people who are committed to making a difference