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Machine Learning Engineer (Staff)

LightfieldHQ: San FranciscoEngineering
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Salary
$220K - $300K USD
Job type
Full-time
Posted
10 Oct 2024
Status
Open · checked 7d ago

About this role

Role Overview

Lightfield is seeking a full-time Staff Machine Learning Engineer for its San Francisco headquarters to shape core AI product experiences. This position suits an experienced practitioner with a strong background in NLP and deep learning who wants to build domain-specific AI that outperforms generic large language models.

Key Responsibilities

Design and deliver differentiated artificial intelligence features targeted at sales teams.
Partner directly with executive leadership and company founders to shape the technical strategy for AI and machine learning.
Spot user requirements that fit machine learning models, frame those challenges, and team up with product managers on effective solutions.
Build prototypes for innovative language model capabilities and turn them into stable production features.
Contribute to growing a top-tier artificial intelligence team through hiring and mentorship.

Requirements

Hold a Bachelor of Science or Master of Science degree in Computer Science, Artificial Intelligence, or Applied Mathematics.
Bring seven or more years of professional background creating products driven by artificial intelligence and machine learning within natural language processing domains.
Demonstrate solid comprehension of deep learning frameworks or cloud computing platforms.
Possess practical operational experience managing machine learning systems in production.

Nice to Have

Background directing artificial intelligence product projects.
Academic papers published in peer-reviewed scientific journals focused on applied artificial intelligence.
Familiarity balancing open-source and vendor tools within the operations space for large language models, including LangChain.

Skills and Tools

Large Language Models (LLM)
Natural Language Processing (NLP)
LangChain
Deep Learning Frameworks
Cloud Services
Machine Learning Operations (ML Ops)

Salary and Benefits

Annual salary ranging from $220,000 to $300,000 USD
Meaningful early-stage equity
Comprehensive health coverage including medical, dental, and vision insurance
Three weeks of paid time off
Eleven paid company holidays plus a winter holiday break
Three months of paid family leave
Hybrid schedule featuring remote work on Wednesdays
Frequent team dinners, social events, retreats, and offsite gatherings
401(k) retirement plan
Daily lunch and commuter stipends

About the Company

Lightfield is redefining customer relationship management software by constructing a comprehensive business world model using insights extracted from meetings, emails, and client conversations. Backed by over $70 million from prominent investors like Andreessen Horowitz, Coatue, Maverick Ventures, and Greylock, the organization builds on the team's prior success with Tome and experience across leading technology enterprises.

How to Apply

Visit the official company careers page to submit your application for this position.

Skills and tech stack

Questions candidates ask

Where is this role located?

This position is based out of the company headquarters in San Francisco, with a hybrid schedule that includes working from home on Wednesdays.

What is the salary range for the Staff Machine Learning Engineer position?

The annual salary ranges from $220,000 to $300,000 USD.

What level of experience is required?

Candidates must have at least 7 years of professional experience building artificial intelligence and machine learning products within natural language processing fields.

What educational background is needed?

Applicants are required to have a Bachelor of Science or Master of Science degree in Computer Science, Artificial Intelligence, or Applied Mathematics.

What benefits are included with employment?

Benefits include early equity, health insurance, three weeks of paid time off, paid family leave, a 401(k) plan, lunch and commuter stipends, and regular team events.

Ready to apply?

The application is on the official Lightfield careers page.

Apply on company site