Remote opportunity at
MWDNAI/ML Engineer
MWDN is a staffing and outsourcing firm with more than two decades of matching tech specialists to employers in Israel, the US, the UK and Western…
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About This Role
MWDN is a staffing and outsourcing firm with more than two decades of matching tech specialists to employers in Israel, the US, the UK and Western Europe. For this opening, MWDN serves as the recruiting partner, and the selected engineer would work straight alongside a US client's staff on its product. The client builds a single product suite for roofing contractors, letting them measure roofs remotely, generate reports and quick…
Job Description
MWDN is a staffing and outsourcing firm with more than two decades of matching tech specialists to employers in Israel, the US, the UK and Western Europe. For this opening, MWDN serves as the recruiting partner, and the selected engineer would work straight alongside a US client's staff on its product.
The client builds a single product suite for roofing contractors, letting them measure roofs remotely, generate reports and quick estimates, and present materials to homeowners through web and mobile apps. It has between 11 and 50 staff, was set up in 2016, and is strengthening aerial-image analysis while experimenting with AI elsewhere in the product.
The engineer's main assignment is sharpening machine vision, with a focus on overhead imagery. Expected tasks range from spotting objects and carving images into regions to sorting content and recognizing repeating structures, along with training, refining, validating and rolling out models. The post also involves evaluating newer vision, foundation and multimodal systems, building rapid prototypes, and improving precision, stability and how quickly models respond.
A good fit enjoys experimentation, can turn hunches into working demos, and is comfortable tackling open-ended challenges without granular direction. Two to three years of practical experience in AI, machine learning or vision is expected, plus solid Python and real use of PyTorch or a comparable framework. Familiarity with satellite, drone or 3D imaging would be a significant advantage.
Candidates should anticipate a recruiter conversation, an introductory meeting with the client, a technical interview, a closing client conversation and then a potential offer.
Responsibilities
- Strengthen computer vision systems centered on aerial image interpretation
- Build solutions for detection, segmentation, categorization and pattern identification
- Train, tune, assess and release vision and machine learning models
- Trial emerging vision, foundation and multimodal models and weigh their value to the product
- Turn ideas into validated prototypes quickly
- Raise model accuracy, dependability, speed and inference efficiency
- Design data preparation and training workflows for imagery
- Use AI coding assistants to accelerate building and debugging
- Carry technical problems from early research through to deployment
Requirements
- Two to three years of practical professional work in AI, ML or vision-related disciplines
- Strong Python programming
- Practical history of improving live vision systems
- Solid machine learning foundations
- Working knowledge of PyTorch or another current ML framework
- Hands-on work in detection, segmentation, sorting and pattern spotting
- Track record of tuning, assessing and shipping models
- Familiarity with current vision and foundation models, and with LLMs, embeddings or vision-language models
- Fluency with AI coding assistants and agents
- Problem-solving ability and speed from concept to prototype
Qualifications
- Work with satellite, aerial, drone or geo-referenced imagery
- Work involving 3D reconstruction, depth sensing, photogrammetry or LiDAR data
- Background in construction tech, property tech, mapping or robotics
- Cloud deployment of ML solutions
- Knowledge of GPU compute or inference tuning
- Working knowledge of OpenCV, C/C++ or MATLAB
Core Skills
Benefits
- Flexible working hours
- 29 days off each year, comprising 18 working days and 11 national holidays
- 10 paid recovery days
- Financial and legal help for independent contractors
- Complimentary English lessons with native or Ukrainian instructors
- Dedicated HR assistance
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this role remote?
Yes. The posting lists the role as remote and describes a client based in the USA.
What is the salary?
The posting does not state a salary.
What experience is needed?
Two to three years of hands-on AI, machine learning or computer vision experience, strong Python skills and practical PyTorch or similar framework experience.
What does the hiring process involve?
The posting lists a recruiter call, an introductory meeting with the client, a technical interview, a closing client interview and then a possible offer.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.