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Machine Learning Engineer, Level 5Snap • Palo Alto, California, United States
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Machine Learning Engineer, Level 5

Snap
  • US
    Palo Alto, California, United States
  • US
    Palo Alto, California, United States
Apply Now

About

Snap Inc. is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. Our core products are Snapchat, Lens Studio, and Spectacles. Responsibilities Build and deploy machine learning models that power core products, serving millions of Snapchatters. Apply modern ML techniques to solve large-scale, real-world problems. Own the full ML lifecycle from data analysis to production deployment. Partner with cross‑functional teams to prototype and launch ML-driven features. Utilize AI tools to design and ship scalable services while upholding rigorous standards for code correctness, security, and production. Knowledge, Skills & Abilities Strong understanding of machine learning approaches and algorithms. Able to prioritize duties and work well on your own. Ability to work with both internal and external partners. Skilled at solving open ambiguous problems. Strong collaboration and mentorship skills. Proficiency in, or a strong aptitude for, leveraging AI tools to streamline development, paired with the critical judgment to audit generated output for architectural integrity, performance bottlenecks, and security risks. Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of engineering trends and modern development practices. Minimum Qualifications Bachelor’s Degree in a relevant technical field such as computer science or equivalent years of practical work experience. 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ years of post-grad machine learning experience; or PhD in a relevant technical field + 1 year of post-grad machine learning experience. Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications. Preferred Qualifications Advanced degree in computer science or related field. Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks. Experience working with machine learning, ranking infrastructures, and system design. Compensation Compensation includes a base salary range based on location: Zone A (CA, WA, NYC) $209,000–$313,000 annually; Zone B $199,000–$297,000 annually; Zone C $178,000–$266,000 annually. The position may also be eligible for equity in the form of RSUs. Benefits Paid parental leave. Comprehensive medical coverage. Emotional and mental health support programs. Compensation packages that let you share in Snap’s long-term success. EEO Statement Snap Inc. is a proud equal opportunity employer and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
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  • Palo Alto, California, United States

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  • English
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