Senior Machine Learning Engineer, BuildOps

Salary not provided

+ Annual bonus + Equity

React

AWS

TypeScript

JavaScript

Python

GraphQL

Node.js

Tensorflow

NumPy

Scikit-Learn

Apollo

PyTorch

Sagemaker

REST API

ChatGPT

Senior and Expert level

Los Angeles

Tuesday - Thursday, in office

3 days a week in office (Santa Monica, CA)

Management software for commercial contractors

Job no longer available

Management software for commercial contractors

501-1000 employees

B2BReal EstateSaaS

Job no longer available

Salary not provided

+ Annual bonus + Equity

React

AWS

TypeScript

JavaScript

Python

GraphQL

Node.js

Tensorflow

NumPy

Scikit-Learn

Apollo

PyTorch

Sagemaker

REST API

ChatGPT

Senior and Expert level

Los Angeles

Tuesday - Thursday, in office

3 days a week in office (Santa Monica, CA)

501-1000 employees

B2BReal EstateSaaS

Company mission

To build the system that helps commercial contractors shape the future of the trades.

Job

Company

Role

Who you are

We’re looking for someone who is passionate about delivering practical, high-quality software and can collaborate effectively in a distributed team environment
2+ years of experience in developing AI solutions preferably with LLMs
5+ years of experience in Full Stack software development
5+ years of experience in Python
3+ years of experience in Javascript/Typescript, Node.js
Familiar with MLOps/deployment best practices (Sagemaker experience is a plus)
Familiarity with vector databases and text embeddings
Proven ability to manage/deploy machine learning models
Experience with AI/ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learn
Strong communication and technical writing skills
Familiarity with unit testing, debugging, profiling and performance monitoring in AWS environment
Prior experience with Node.js, building features using REST and/or GraphQL APIs using Apollo preferred
Prior knowledge or ability to quickly learn developing in a MLOps environment (MLflow or similar) preferred
Ability to work a hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office

What the job involves

This role offers the opportunity to join a well-funded, fast-growing technology startup and help build out a critical function for the company
As a Senior Machine Learning Engineer, your primary focus will be implementing and enhancing AI/ML features in our industry-leading platform
Build and deploy machine learning models using Python (e.g., PyTorch) on platforms like AWS SageMaker
Develop backend and client-side code to integrate with cloud-based LLM APIs (e.g., Bedrock, ChatGPT APIs)
Manage monitoring (Wandb.ai, MLFlow, etc), deployment, and assist with hyperparameter tuning
Implement your own ML endpoints in our various React/NodeJS applications
Collaborate with data scientists and cross-functional teams to deliver impactful and practical AI solutions
Work in tandem with the quality engineering team to ship high-availability software
Build and maintain automated unit tests: unit, integration and UI
Participate in PR reviews and ensure proper implementation of ML tooling across our stack
Communicate effectively with engineers, product managers, customers, partners, and other leaders
Stay up-to-date on the latest AI technologies and trends to help other areas of the company find leverage in new advancements

Our take

BuildOps offers a tailored management software platform catering to the real estate sector, allowing its clientele to enhance cash flow and profit margins. Through its all-in-one invoicing and billing workflow, coupled with a robust financial reporting platform, BuildOps equips customers with the tools needed for streamlined operations.

The company's strategic focus on subcontractors within the construction and real estate industry sets it apart in a market where many management platforms struggle to integrate diverse functionalities. Unlike its competitors, BuildOps has mastered the all-in-one approach, mitigating miscommunication and confusion often stemming from disparate silos of information.

In a landscape worth billions, BuildOps has swiftly carved out a niche, positioning itself for significant growth in the years to come. In 2025, it secured new funding and cemented its status as a unicorn. This is a sure sign of investors' confidence in the company's vision and its potential to revolutionize management software for the modern commercial contractor.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

50% employee growth in 12 months

Glassdoor (3.5)

Company

Funding (last 2 of 4 rounds)

Mar 2025

$127m

SERIES C

May 2023

$50m

EARLY VC

Total funding: $225.8m

Company benefits

Financial: Competitive base salary. Generous equity options. Performance bonuses for 95%+ employees. Bi- annual performance & compensation reviews. RRSP & 401k employee contribution plan.
Health & Family: Health/dental/vision insurance as of Day 1. Paid parental leave. Life insurance + disability insurance. Employee Family Assistance Program (EAP).
Other Perks: Flexible PTO. Home-office allowance. Hybrid flexibility. Access to awesome office spaces (in L A , Toronto, and Raleigh). Team retreats & off- sites.

Company HQ

Santa Monica, CA

Leadership

Alok Chanani

(Co-Founder & CEO)

Previously a Board Member at Wharton Angel Network, CEO at USA Commercial and Summer Associate at the Bernstein Companies.

Steve Chew

(CSO)

Currently Community Lead at StartX. Previously Co-Founder and CEO at Swerv and Vice President of Marketing at Fundly.

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