Machine Learning Engineer, Landing AI

Salary not provided

PyTorch

Mid and Senior level

San Francisco Bay Area

3+ days a week in office (Mountain View, CA)

Visual AI software

Be an early applicant

Visual AI software

101-200 employees

B2BArtificial IntelligenceEnterpriseManufacturingInternet of ThingsMachine LearningSaaS

Be an early applicant

Salary not provided

PyTorch

Mid and Senior level

San Francisco Bay Area

3+ days a week in office (Mountain View, CA)

101-200 employees

B2BArtificial IntelligenceEnterpriseManufacturingInternet of ThingsMachine LearningSaaS

Company mission

To help companies across all industries take advantage of their vast set of vision data to build, deploy and scale Visual AI solutions.

Job

Company

Role

Who you are

Experienced (3+ years) in ML solution design through solving real world, complex problems
Strong grasp of ML fundamentals, modeling, and algorithm design (not just taking things off the shelf from open source)
Strong computer vision background (Vision Transformers, CNNs, etc)
Hands-on experience with utilizing LLMs programmatically in a fashion well-aligned with their strengths and weaknesses, especially in agentic workflows
Experienced with the data-centric approach, including model evaluation and error analysis
Very strong attention to detail, meticulous
Willing to do the dirty work (data-centric, labeling, fixing, etc)
Strong data analysis skills
Good communicator
Strong customer focus to understand requirements to solve the core problem
Good coding skills (for purposes of communicating ideas clearly)
Experienced with PyTorch

What the job involves

Work directly with senior ML engineers to design ML solutions. These can involve agentic workflows or creating custom models
Iterate ML solutions to production-level quality
Source and curate high quality data for training models
Work closely with the labeling team to manage data-centric workflows

Our take

The need for AI in industries like manufacturing and healthcare is growing, with businesses increasingly relying on visual data from images and videos. However, many struggle with how to leverage this unstructured data for better decision-making and efficiency.

Landing AI has stepped in to solve this problem with LandingLens, a platform that helps companies create, train, and deploy computer vision models. It streamlines the process and keeps data secure, allowing businesses to apply AI technology more easily.

While LandingLens is a recent launch, the company has been making waves since its launch due to the reputation of founder Andrew Ng, who is considered one of the AI ecosystem's leading figures. This, along with a number of recent achievements position Landing AI for further growth and innovation in AI-driven visual technology.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.7)

Company

Funding (1 round)

Nov 2021

$57m

SERIES A

Total funding: $57m

Company benefits

Health: Our people and dependents (subject to country of employment) are covered by comprehensive medical, dental, and vision.
Environment: We provide an allowance for you to set up a workstation however you want
Wellness: We offer a fitness stipend to be used on well-being and fitness programs
Lifelong learning: With an education stipend, you are encouraged to keep learning and growing
PTO: We provide generous paid time off (subject to country of employment) so you can strive toward a balanced lifestyle
Retirement: We offer retirement plans (subject to country of employment) to help you plan for your future!
Events: We love having fun! We set up regular virtual and in person events to connect with each other
Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network!

Company HQ

Ventura, Palo Alto, CA

Leadership

Dan Maloney

(CEO)

Initially joined LandingAI in 2022 as COO before becoming the CEI in 2024. Prior to this, they were an Executive VP at Data Robots and Zepl, CEO at Perspica, and VP of Sales and Marketing at AccelOps.

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