Lead Machine Learning Engineer

About Us
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.
Key Responsibilities

• 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.
• Collaborate with Data Engineering and Platform teams to ensure ML solutions are secure, performant, and production-ready.
• Contribute to technical design reviews and influence architectural decisions related to ML systems.
• Stay current with emerging ML techniques and technologies, applying them thoughtfully to SharkNinja use cases.

Qualifications
Must-Haves

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 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.
• Ability to clearly communicate complex technical concepts to both technical and non-technical partners.
• Proven ability to work in fast-paced, cross-functional environments with a "progress over perfection" mindset.

Nice-to-Haves

• Experience with real-time or embedded ML systems.
• Exposure to recommendation systems, personalization, forecasting, or computer vision.
• Experience working in consumer products, IoT, or e-commerce environments.
• Familiarity with data orchestration tools (e.g., Airflow) and ML platforms (e.g., SageMaker, Databricks).

Salary and Other Compensation: 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.
Pay Range
$175,500-$214,500 USD
Our Culture
At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. Together, we won't just launch products-we'll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
Learn more about us:
Life At SharkNinja
Outrageously Extraordinary
SharkNinja Candidate Privacy Notice

• For candidates based in all regions, please refer to this Candidate Privacy Notice.
• For candidates based in China, please refer to this Candidate Privacy Notice.
• For candidates based in Vietnam, please refer to this Candidate Privacy Notice.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at [email protected]