Machine Learning Engineer, NLP, 3+ Years of Experience - Seattle, WA, United States - Penn Foster

Description

Snap Inc

is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are

Snapchat

, a visual messaging app that enhances your relationships with friends, family, and the world;

Lens Studio

, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses,

Spectacles

.

Snapchat

is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it's always the fastest way to share a moment

We're looking for a Machine Learning Engineer to join Snap Inc

What you'll do:

• Research the latest techniques and methods in deep learning and natural language processing to improve the dialog system across different use cases, including multimodal conversation, long-term memory, chitchat, intent recognition and others
• Work closely with stakeholders from product, engineering, content policy on a long-term improvement over the dialog system use cases, for both external release and internal use cases
• Introduce new techniques, tools, and architecture that improve the quality, performance, latency, throughput, and efficiency of our models
• Create products that are used by millions of Snapchatters

Knowledge, Skills & Abilities:

• Strong understanding of machine learning approaches and algorithms in natural language processing
• Ability to collect and analyze complex unstructured data
• Ability to proactively learn new concepts and apply them at work
• Strong communication and collaboration skills

Minimum Qualifications:

• BS in a related technical field such as computer science or equivalent years of experience
• 3+ years of industry machine learning experience
• Experience developing novel techniques for machine learning model measurement and mitigation
• Experience working with machine learning frameworks such as PyTorch and TensorFlow

Preferred Qualifications:

• Advanced degree in computer science (machine learning, NLP, deep learning) or another related area of study
• Strong track record of coming up with new ideas or improving upon existing ideas in machine learning demonstrated by accomplishments such as first author publications or projects
• Experience working on dialog systems, large language models or virtual assistants
• Experience in interdisciplinary research collaborations
• Experience in creating high-performance implementations of deep learning algorithms
• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
• Practical experience with Generative ML models for NLP or CV tasks

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. These pay zones may be modified in the future.

• Zone A (CA, WA, NYC) : The base salary range for this position is $175,000 - $250,000 annually
• Zone B : The base salary range for this position is $166,000 - $238,000 annually
• Zone C : The base salary range for this position is $149,000 - $213,000 annually

This position is eligible for equity in the form of RSUs

"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 at least 80% of the time (an average of 4 days per week). For roles with remote consideration: Remote team members still are expected to travel for mandatory in-person gatherings and to fulfill business needs, at least 4 to 6 times per year.

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. If you have a disability or special need that requires accommodation, please don't be shy and contact us at

accommodations-

.

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 #J-18808-Ljbffr