Machine Learning Engineer, Lamini AI

$150-250k

+ Equity

Python
Kafka
Tensorflow
Spark
Scikit-Learn
Snowflake
PyTorch
Keras
BigQuery
Senior and Expert level
San Francisco Bay Area

Office located in Menlo Park, CA

Lamini AI

LLM engine for custom model training

Job no longer available

Lamini AI

LLM engine for custom model training

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Job no longer available

$150-250k

+ Equity

Python
Kafka
Tensorflow
Spark
Scikit-Learn
Snowflake
PyTorch
Keras
BigQuery
Senior and Expert level
San Francisco Bay Area

Office located in Menlo Park, CA

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Company mission

To build a future where any software engineering team can outperform general purpose LLMs with their own data.

Role

Who you are

  • At least 5+ years of professional experience designing, training, and deploying machine learning models
  • Strong computer science foundation, including data structures, algorithms, and design patterns
  • Expertise in Python demonstrated by implementing multiple medium to large-scale projects
  • Proven ability to implement and debug machine learning models
  • Excellent communication skills and the ability to have in-depth technical discussions with both the engineering team and business people
  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, Keras, TensorFlow, PyTorch)
  • Industry experience with relational databases and SQL-based tools
  • BSc in Computer Science, Mathematics or similar field; Master’s or Ph.D. degree is a plus
  • Self-starter and comfortable working in an early-stage environment

Desirable

  • Experience with big data pipeline technologies such as BigQuery, SnowFlake, Spark, Kafka
  • Research experience in machine learning or artificial intelligence related field
  • Contributions to open source ML projects
  • Experience working on logistics or shipping-related products
  • Experience with Agile development

What the job involves

  • You will be responsible for end-to-end ownership of scalable Machine Learning systems — from data pipelines, to training, to analyzing performance in a production environment. Since you’ll be joining an early-stage startup at the ground level, you’ll need to be able to wear multiple hats and thrive while working in a dynamic environment
  • Design and train new production-ready machine learning models. You will lead the development of new machine learning models and data pipelines. You will apply fundamental machine learning concepts to quickly iterate and debug model related issues and develop new techniques to handle unique cases with each customer
  • Collect, process and analyze data. A big part of our machine learning projects is understanding and analyzing the data. You must build pipelines and processes for cleaning and organizing data as well as build tools to help analyze data. You must also understand what types of data models are struggling with and use this analysis to propose solutions
  • Analyze and improve existing models. You will also be responsible for analyzing performance of our existing models and work to improve their accuracy by applying the latest published research, feature engineering and tuning of hyperparameters

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Company

Company benefits

  • Health Insurance
  • Paid Time Off
  • Team Retreat
  • Work in a diverse team
  • Benefit image

Funding (1 round)

May 2024

$25m

SERIES A

Total funding: $25m

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.

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Kirsty

Company Specialist at Welcome to the Jungle