Job Description - Director, Applied ML / AI (2406207326W) DescriptionJohnson & Johnson MedTech Digital (JJMT) is recruiting for a Director of Applied ML/AI to establish and incubate the applied sciences team to create new innovative solutions for AI for improved surgical outcomes. JJMT Digital is passionate about crafting the future of digital surgery by developing software products and solutions for hospitals, clinicians, and patients. These products will deliver a comprehensive digital surgery experience for J&J Med Tech customers and their patients from pre-operative care through post-operative support.
We are seeking an Applied ML/AI leader to lead the team designing and delivering our AI systems and models that collect, process and analyze large quantities of multi-modal data such as images, videos and device telemetry. These systems use sophisticated real-time machine learning algorithms and make information accessible and actionable to both clinicians and patients. This is an opportunity to build a cross-functional high-value team of applied scientists, data scientists and ML engineers who will push the boundaries of AI to support surgical outcomes.
Key Responsibilities:Build and lead a strong team to develop, deploy and manage state of the art ML Models in production (classic ML, DNNs, and Large Language Models/GenAI).Hire and manage a well-run, successful team via coaching, mentoring and providing technical and career guidance.Strong experience in developing and deploying vision-based models in production with both batch and real-time processing.Build, sustain, and grow a diverse team to address the growing needs of the organization.Collaborate with stakeholders building solutions on top of the platform.Create and foster a positive and supportive work culture.Strike a right balance between applied research and product-focused core features and deliver continuous value through ML to end customers. Develop ML/AI Strategy.Qualifications:M.S., or PhD. in Statistics, Computer Science, Math, Machine Learning, Operations Research, Physics, Economics, or another quantitative field.10+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production.5+ years of experience managing and leading the data science team.3-5 years of experience applying deep learning, language, speech, or vision models.Ability to crosscut and bridge domain expertise and machine learning approach to solve complex problems.Familiarity with Distributed Systems and Infrastructure (using a Cloud provider such as AWS/GCP or Azure) is a great advantage.Up to 15% travel required, in the US and internationally.The anticipated base pay range for this position is $157,000 to $271,400. California Bay Area - The anticipated base pay range for this position is $193,000 to $312,110.
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan.
Employee Benefits:Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).This position is eligible to participate in the Company's long-term incentive program.Employees are eligible for the following time off benefits:Vacation – up to 120 hours per calendar year.Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year.Holiday pay, including Floating Holidays – up to 13 days per calendar year.Work, Personal and Family Time - up to 40 hours per calendar year.Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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