Machine Learning Engineer, NLP, 3+ Years of Experience

Key Skills

Computer Vision (CV), Deep Learning, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PyTorch, TensorFlow

Job Description

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