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  • Emplois similaires à : Machine Learning Engineer, Level 5
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Machine Learning Engineer, Level 4SwiftCruit • Palo Alto, California, United States
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Machine Learning Engineer, Level 4

SwiftCruit
  • US
    Palo Alto, California, United States
  • US
    Palo Alto, California, United States
Postuler Maintenant

À propos

We’re looking for a Machine Learning Engineer to join Snap Inc! What you’ll do:
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
3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
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
Default Together Policy At Snap Inc. we believe that a “default together” approach and expect our team members to work in an office 4+ days per week.
Accommodation Statement If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
Equal Opportunity Employer At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an 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).
Our Benefits Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $173,000-$259,000 annually.
Zone B:
The base salary range for this position is $164,000-$246,000 annually.
Zone C:
The base salary range for this position is $147,000-$220,000 annually. This position is eligible for equity in the form of RSUs.
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  • Palo Alto, California, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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