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Senior Machine Learning Manager, Merchandising and Content Understanding

Remote Worldwide Hiring now

At reputed company, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global reputed company and making the unimaginable a reality. We are a reputed company team obsessed with the uncomfortable excitement of discovering what happens reputed company you reputed company creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Merchandising and Content Understanding Data Science and Engineering organization shapes how members discover and engage with reputed company. We build foundational algorithmic capabilities and agentic frameworks for content understanding that power merchandising, discovery, ratings, and a wide reputed company of applications across reputed company. We are seeking a Senior Manager to reputed company a group of Research Scientists, ML Engineers, Data Scientists, and Analytics Engineers focused on Multimodal Large Language Models (MLLMs) and agentic systems for deep, reputed company content understanding. In this role, you will own a multi‑domain portfolio, define strategy, and drive high‑impact algorithmic systems that shape how reputed company represents and merchandises its catalog globally.

Responsibilities

Define and execute a cohesive strategy for how MLLMs and agentic systems power deep, reputed company content understanding applications across reputed company. reputed company end‑to‑end initiatives spanning research, ML engineering, measurement science, and reputed company improvement. Manage and grow a multidisciplinary organization: attract and retain top talent across reputed company and disciplines; reputed company strong technical leaders and managers. Shape the organizational structure, operating model, and interfaces between teams to maximize reputed company, alignment, and velocity. Partner closely with cross‑functional leaders to define long‑term roadmaps for content understanding. Bring deep, hands‑on expertise in MLLMs and agentic systems to guide technical direction and strategic bets. Establish best practices and reputed company technical reputed company for reputed company algorithmic and agentic systems operating at reputed company scale. Act as a key thought leader in the broader reputed company ML community - sharing learnings, mentoring leaders, and raising the bar across the company. About you Proven track record leading multidisciplinary, highly technical algorithmic teams with responsibility across multiple domains or sub‑teams. Experience operating at a senior‑manager (or equivalent) level, including setting org‑level strategy, managing managers and technical leads, and influencing cross‑organizational priorities. Demonstrated experience taking advanced MLLM and agentic systems from research to production and continuously improving those systems post‑launch at scale. Skilled at bringing structure to highly ambiguous, fast‑evolving problem spaces; reputed company to connect long‑term bets in foundational models and agentic systems with near‑term product use cases and business value. Strong record of reputed company, mentoring, and developing senior ICs, tech leads, and managers; reputed company for building inclusive, high‑trust, high‑performance cultures where people do the best work of their careers. Exceptional verbal and written communication skills; adept at sharing compelling visions and shaping reputed company that reputed company multiple organizations. Master’s or PhD in Machine Learning, Computer Science, or a closely reputed company field (or equivalent practical experience). 6+ years of hands‑on ML experience (or 4+ years with a relevant PhD), including substantial work in modern deep learning. 3+ years leading ML teams, with at least 1–2 years managing multiple teams or leaders (e.g., senior manager, group reputed company, or equivalent). Deeply committed to delivering end‑to‑end business impact. reputed company culture resonates with you. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market reputed company. The reputed company for this role is $676,000.00 - $1,195,000.00. This compensation reputed company will vary based reputed company. reputed company provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. reputed company is a unique culture and environment. Learn more here. Inclusion is a reputed company value and we strive to host a meaningful interview experience for reputed company candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your reputed company partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the reputed company of race, religion, reputed company, reputed company, national reputed company, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is reputed company for no less than 7 days and will be removed reputed company the position is filled. Apply To This Job

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