Machine Learning Engineer, Lamini AI
Customer Facing
$150-200k
+ Equity
Office located in Menlo Park, CA
LLM engine for custom model training
Be an early applicant
LLM engine for custom model training
1-20 employees
Be an early applicant
$150-200k
+ Equity
Office located in Menlo Park, CA
1-20 employees
Company mission
To build a future where any software engineering team can outperform general purpose LLMs with their own data.
Role
Who you are
- 3+ years of experience training or finetuning deep learning models
- 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer
- Designed novel and innovative solutions for technical platforms in a developing business area
- 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
- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- A love of teaching, mentoring, and helping others succeed
- Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders.
- .You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
What the job involves
- As a Customer-Facing Machine Learning Engineer, you’ll work directly with enterprise customers to leverage Lamini platform to develop and deploy LLM solutions that drive business value
- This role blends technical expertise, customer collaboration, and problem-solving to ensure customers achieve maximum benefit from our platform
- You will play a pivotal role in bridging the gap between our engineering team and customers, providing technical support, gathering feedback, and leading implementation efforts
- Act as the primary technical advisor for prospective customers evaluating LLM and finetuning projects on Lamini platform
- Demonstrate how Lamini can address the customer's use cases through proof of concept
- Provide technical guidance on integration, deployment, and adoption best practices
- Partner closely with account executives to understand customer requirements
- Configure Lamini's capabilities to showcase how it meets the customer's needs
- Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption
- Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure
- Recommend solutions to technical roadblocks
- Support customer onboarding by working cross-functionally to ensure successful ramp and adoption
- Serve as an ongoing technical advisor throughout implementation and beyond go-live
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
Our take
Lamini AI is an LLM engine built to train custom models, built for software engineers who want to automate workflows and streamline the development of software. Using cutting-edge UX (user experience) systems to boost the speed of model learning, Lamini is a small company built on powerful, well-researched AI tech.
As a young and small company, Lamini will have some trouble pitting itself against the likes of Google’s Firebase ML and Vertex AI. However, with its young leadership team researching at the likes of Stanford University and its preference for Instinct GPUs over the big players (Microsoft, Meta, Google) Nvidia A100 chips, Lamini is certainly in a position to change the game. It claims to have stoked interest from Amazon, Walmart and eBay, hinting at big things to come for the small company.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
May 2024
$25m
SERIES A
Total funding: $25m
Company benefits
- Health Insurance
- Paid Time Off
- Team Retreat
- Work in a diverse team
- Benefit image
Company values
- Innovative
- Inclusive
- Passionate
- Diverse
- Learning-focused
Company HQ
Evergreen Park, Palo Alto, CA
Articles
Leadership
Sharon Zhou
(CEO)Currently Angel Investor, CS Faculty Adjunct at Stanford University, Instructor at Coursera and Head fo AI & Research Science at AI Objectives Institute.
Gregory Diamos
(ML Systems Ninja)Currently Advisor at Celestial AI, Co-Founder at MLCommons. Previously LLM Scaling Law Researcher at Baidu Inc.
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