Lead Machine Learning Engineer

6+ years of experience building and deploying machine learning models in production environments.

Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Solid understanding of supervised and unsupervised learning, model evaluation, and feature engineering.

Experience deploying ML models using cloud-based platforms and services (AWS, GCP, or Azure).

Familiarity with MLOps practices, including CI/CD for ML, model monitoring, and retraining strategies.

Experience with real-time or embedded ML systems.

The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.

$175,500

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$214,500 USD

Lead the design, development, and deployment of production-grade machine learning models across consumer, digital, and operational use cases.

Partner with Product, Engineering, and Business stakeholders to translate real-world problems into ML-driven solutions with measurable impact.

Own end-to-end ML workflows, including data preparation, feature engineering, model training, evaluation, deployment, and monitoring.

Build and maintain scalable ML pipelines and services that integrate seamlessly with SharkNinja’s data and software platforms.

Provide technical leadership and mentorship to ML engineers and data scientists, raising the bar on model quality, reliability, and performance.

Drive best practices in model versioning, experimentation, monitoring, and lifecycle management.

SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world.

Powered by two trusted, global brands, Shark and Ninja

, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.

The Lead Machine Learning Engineer will play a critical hands-on role in designing, building, and deploying machine learning solutions that power SharkNinja’s next generation of consumer products, digital experiences, and operational capabilities. This role combines deep technical execution with technical leadership, mentoring, and cross-functional collaboration. You will lead end-to-end ML initiatives—from problem framing and data exploration through production deployment—while helping to establish best practices for scalable, reliable ML at SharkNinja.

Life At SharkNinja