SharkNinja · 7 hours ago
Lead Machine Learning Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$176K/yr - $214K/yr
6+ years expSharkNinja is a global product design and technology company known for its innovative lifestyle solutions. The Lead Machine Learning Engineer will design, build, and deploy machine learning solutions for consumer products, collaborating with cross-functional teams to translate real-world problems into impactful ML-driven solutions.
BeautyConsumer ElectronicsConsumer GoodsRetail
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
Qualification
Required
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
Preferred
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)
Benefits
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
Competitive health insurance
Retirement plans
Wellness programs
SharkNinja product discounts
Company
SharkNinja
SharkNinja is a consumer goods company that offers beauty, home care, kitchen appliances, and outdoor electronic products.
1001-5000 employees
H1B Sponsorship
SharkNinja has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (40)
2024 (33)
2023 (18)
2022 (22)
2021 (29)
2020 (24)
Funding
Current Stage
Public CompanyTotal Funding
$1.2BKey Investors
CDH Investments
2025-08-20Post Ipo Secondary· $638M
2024-03-19Post Ipo Secondary· $272.13M
2023-12-04Post Ipo Secondary· $286.47M
Leadership Team
Mark Barrocas
Chief Executive Officer
Adam Quigley
EVP, Chief Financial Officer
Recent News
Benzinga.com
2026-01-23
2026-01-21
Company data provided by crunchbase