Machine Learning Engineer, Level 4

Snap; New York (NY); On-site; USD 173,000 - 259,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support programs

Job summary

Snap is seeking a Machine Learning Engineer to join their team in New York. The role involves building and deploying machine learning models that power core products for millions of users. Candidates should have strong skills in machine learning techniques and collaboration.

A Bachelor’s degree in a relevant field and at least 3 years of practical experience are required. The position offers a competitive salary range based on job-related skills and location.

Qualifications

• Minimum 3+ years of machine learning experience post-Bachelor’s.
• Experience in developing models for ranking, recommendations, search, and content understanding.
• Strong understanding of machine learning approaches and algorithms.

Responsibilities

• Build and deploy machine learning models for core products.
• Apply modern ML techniques to solve real-world problems.
• Collaborate with cross-functional teams to prototype ML-driven features.

Skills

Machine learning algorithms

AI tools

Problem solving

Collaboration

Adaptability

Education

Bachelor's Degree in computer science or equivalent practical experience

Master’s degree in a technical field

PhD in a relevant technical field

Tools

TensorFlow

PyTorch

scikit-learn

Spark ML

Job description

Machine Learning Engineer

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+ years 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: At Snap Inc., we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers, and partners better through dynamic collaboration. To reflect this, we practice a default together approach and expect our team members to work in an office 4+ days per week.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

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.