Senior Artificial Intelligence Engineer, BuildOps
CA$120-180k
+ Bonus and stock options
Management software for commercial speciality contractors
Open for applications
Management software for commercial speciality contractors
201-500 employees
Open for applications
CA$120-180k
+ Bonus and stock options
201-500 employees
Company mission
To bring a true all-in-one solution with the best technology to the people who keep America's hospitals, power plants, and commercial real estate running.
Role
Who you are
- 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
- Proven ability to design, develop, and deploy machine learning models
- Strong understanding of machine learning principles and algorithms
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learn
- Experience with multi-variable non-linear optimization problems preferred
- You will be expected to shape and guide the AI/ML technology decisions of your squad, while contributing alongside them
- As an individual contributor, you are a role model to more junior engineers
- 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
- B.S., M.S. or PhD in computer science, engineering or related fields
What the job involves
- This candidate will join a well-funded, fast-growing technology startup with the unique opportunity to help build out a critical function for the company
- As a member of the team, your primary focus will be to build and enhance AI and ML features in our industry-leading platform
- We are looking for a motivated self-starter who can work in a distributed team environment
- The day-to-day responsibilities are broad, and you will ultimately be responsible for building and shipping high-quality software that powers many businesses and shapes the maintenance industry
- Design, develop, and deploy machine learning models using Python and Javascript
- Collect, clean, and analyze data to identify patterns and insights
- Explore and implement new AI techniques and algorithms
- Design and test experiments using Jupiter Notebooks
- LLM tuning based on manual and automated feedback
- Write quality scalable code with high test coverage and documentation
- Collaborate with cross-functional teams to deliver impactful AI solutions
- Propose recommendations, build prototypes, and provide feedback
- Work in tandem with the QA engineering team to ship quality and high-precision software
- Build and maintain automated unit tests: unit, integration and UI
- Co-own the short and long-term technical vision of your squad with your teammates
- Provide technical mentorship and guidance to engineers within your team and others
- Help improve the technical quality of our work through regular technical design, code reviews and automated testing
- Share your technical knowledge and expertise, promote using AI and ML methodology across the whole organization
- Communicate effectively with engineers, product managers, customers, partners, and other leaders
- Stay up-to-date on the latest AI technologies and trends
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 sub-contractors 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. Recently; the company secured new funding, this fresh infusion underscores investors' confidence ain the company's vision and it potential to revolutionize management software for the modern commercial contractor.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
May 2023
$50m
EARLY VC
May 2022
$43m
SERIES A
Total funding: $98.8m
Company benefits
- LA, Toronto, & WFH opportunities
- Premium insurance coverage
- Wellness perks
- Competitive compensation
- Flexible schedule & PTO policy
- Professional development opportunities & events
- Great people, great place to work
Company values
- Collaborate to win: BuildOps thrives from individual and team contributions
- Love our customers: From everyday support to advancing the platform around our customers’ needs
- Act like an owner: Combining experience and knowledge to discover the best strategic decisions
Company HQ
Santa Monica, CA
Articles
Leadership
Alok Chanani
(CEO)Previously a Board Member at Wharton Angel Network, CEO at USA Commercial and Summer Associate at the Bernstein Companies.
Steve Chew
(Chief People Officer)Currently Community Lead at StartX. Previously Co-Founder and CEO at Swerv and Vice President of Marketing at Fundly.
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