Lead Applied ML Scientist

About The Role

As a Senior Applied Machine Learning Scientist, you will:

Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.

Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates.

Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.

Innovate: You will be empowered to try new approaches and learn new technologies and. You will foster innovative ideas to solve real-world challenges. You will iterate to improvement rapidly with a mindset for failing fast and learning continuously from data.

Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.

About You

Basic qualifications

Master’s or Bachelor's degree with a comparable level of experience (7+ years experience with Master’s or 10+ years of experience for Bachelor’s) or PhD in a relevant discipline

At least 5 years practical, relevant experience building AI/ML products and applications

Should have led AI/ML projects in current role and should have the experience in Designing, developing, and implementing machine learning models and algorithms.

Solid software engineering and / or data engineering skills for prototyping

Experience as a technical leader, leading aspects of the following:aiding in the ideation with product stakeholders

comfort in dealing with uncertainty and ambiguity in problem statements and paths to success

breaking down complex problems into tractable components with iterative improvements

formulating research and development plans

coordinating and guiding the work of others

communication of progress and plans with varied stakeholders

Preferred Qualifications

8+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry

Demonstrated ability to translate cutting edge research into working prototypes

Experience in a fast-paced, agile environments managing uncertainty and ambiguity

Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders

Diverse experiences across problem spaces, companies and cultures

Should be an influencer and change leader