Full-Time

Machine Learning Engineer

Customer Facing

Confirmed live in the last 24 hours

Lamini AI

Lamini AI

11-50 employees

Generative AI for enterprise software development

Enterprise Software
AI & Machine Learning

Compensation Overview

$150k - $200kAnnually

Senior, Expert

Menlo Park, CA, USA

Hybrid position based in Menlo Park.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM
Machine Learning
Requirements
  • 3+ years of experience with deep learning models in production
  • 2+ years of experience in a customer-facing role, such as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer
  • Strong technical aptitude to partner with engineers and proficiency in software engineering
  • The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders.
Responsibilities
  • Act as the primary technical advisor for prospective customers evaluating LLM and finetuning projects on Lamini platform.
  • Partner closely with account executives to understand customer requirements.
  • Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure.
  • Support customer onboarding by working cross-functionally to ensure successful ramp and adoption.
  • Travel occasionally to customer sites for workshops, implementation support, and building relationships.
Desired Qualifications
  • Designed novel and innovative solutions for technical platforms in a developing business area
  • Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • A love of teaching, mentoring, and helping others succeed

Lamini AI specializes in developing enterprise software using generative AI and machine learning. The company offers a Large Language Model (LLM) engine that helps businesses automate workflows and enhance productivity. Their product allows engineering teams to create customized AI applications that utilize their own data, making them more effective than general-purpose models. Lamini provides a library and an API that enables software engineers to quickly develop and deploy AI models without the hassle of hosting or computational issues. The company generates revenue by offering its LLM engine as a service, allowing clients to train specialized language models on their unique datasets. Lamini's goal is to make generative AI accessible and tailored for businesses, improving their software development processes.

Company Stage

Series A

Total Funding

$24.3M

Headquarters

Menlo Park, California

Founded

2022

Growth & Insights
Headcount

6 month growth

27%

1 year growth

0%

2 year growth

15%
Simplify Jobs

Simplify's Take

What believers are saying

  • Lamini secured $25M funding for platform enhancement and team expansion.
  • High-profile investors like Andrew Ng back Lamini, boosting its market credibility.
  • Lamini's collaboration with AMD enhances model training efficiency with specialized hardware.

What critics are saying

  • Increased competition from AI startups like Proxima could challenge Lamini's market position.
  • Reliance on AMD hardware poses risks if supply chain issues arise.
  • Focus on enterprise clients may limit market reach to smaller businesses.

What makes Lamini AI unique

  • Lamini offers a unique LLM engine for enterprise-specific AI model customization.
  • The company provides an API for seamless model deployment without hosting concerns.
  • Lamini's Memory Tuning significantly reduces hallucinations, enhancing LLM reliability.

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