About Krevera

Krevera builds AI-powered vision systems that spot defects on the factory floor before scrap happens. Our deep-learning pipelines detect anomalies in real-time, diagnose root causes, and feed insights back to injection-molding machines and robotics so that quality issues are fixed automatically.

We are a VC-backed startup (pre-seed raised) with our first paying customers and a clear path to scale.

Overview

As a Senior Machine Learning Engineer - Computer Vision, you’ll play a key role in developing Krevera’s Computer Vision & AI stack—helping build a robust data-to-deployment pipeline that gathers and generates training data, orchestrates cloud-scale training, and seamlessly pushes models to factory edge nodes for inference. You’ll contribute directly to innovation in multi-view vision transformers and VLMs, collaborating closely with Simulation and Software Engineering to keep every release production-ready and customer-focused.

Key Responsibilities

Contribute to the full AI pipeline: data collection & synthetic generation, cloud-scale distributed training (Ray on AWS), automated testing, and deployment to our inference systems.
Develop and refine state-of-the-art models (multi-view ViTs, VLMs) for real-time defect detection.
Support the engineering of ultra-reliable edge inference systems that meet stringent latency and throughput targets on factory hardware.
Implement and adhere to MLOps best practices—model versioning, monitoring, rollback, and CI/CD workflows.
Collaborate cross-functionally with Simulation, Software Engineering, and Sales to align technical deliverables with customer needs and ROI.

What We’re Looking For

A strong individual contributor who excels technically and helps those around them.
A good communicator adept at collaborating across multiple disciplines in a dynamic, fast-paced startup environment.
A creative problem solver excited by the challenge of innovating in an ever-evolving technology landscape.

Skills & Tools

Python and C++ programming proficiency; you write clean, production-ready code.
ROS 2 and OpenCV for orchestrating real-time inference on factory-floor devices.
PyTorch with experience building deep neural networks from the ground up.
Experience with multi-view architectures, Vision Transformers (ViT), and/or Vision-Language Models (VLMs).
Experience with distributed cloud computing using tools such as Ray (Anyscale).
Strong AWS background, especially EKS/Kubernetes, S3, etc.

Why Krevera

Collaborative, fun, innovative culture: Enjoy a startup environment with a flat hierarchy where teamwork and creativity thrive—whether brainstorming ideas, playing occasional video games over lunch, or taking company walks.
Real impact: Your work will directly shape our technology, culture, and growth from day one.
Front-row seat to AI in manufacturing: Help define a market that’s just beginning to explode.
Momentum & resources: Fresh off a venture-capital raise and 12 months of booked contracts, we have runway and customers eager for your models. We are well funded and moving fast!

Logistics

Location: On-site, Waltham, MA.
Compensation: Competitive salary + meaningful equity.
Benefits: Health insurance, dental, and 401(k).
Start date: ASAP – we’re moving fast.

How to Apply

Email careers.ai@krevera.com with your résumé, a brief note on why you’re excited to join, and links to any relevant papers, repos, or projects.

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