Senior Machine Learning Engineer

Eta Compute; Vicenza; Remoto; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

An innovative AI startup is seeking a talented ML Engineer to advance their cutting-edge AutoML platform for Edge AI. The ideal candidate will have a strong background in deep learning, particularly in computer vision, and will thrive in a dynamic startup environment. This role offers both remote and hybrid work options, making it ideal for those seeking flexible arrangements.

Competenze

• 5+ years in ML / DS with deep learning contributions.
• Proficiency in computer vision tasks.
• Experience with cloud platforms and web technologies.

Mansioni

• Develop and enhance the AutoML system for Edge AI.
• Maintain deep learning workflows including multimodal models.
• Research latest advancements in Deep Learning.

Conoscenze

Deep learning computer vision

Python

Model optimization

Cloud platforms (AWS)

English communication

Formazione

PhD or MSc in Computer Science, Data Science, or related field

Strumenti

TensorFlow

PyTorch

Node.js

Descrizione del lavoro

Introduction

• Are you a high-impact individual ready to escape corporate or academic inertia? At our AI startup, your drive isn't just welcomed—it's essential. Here, you won't be a cog in a machine;

your talent will directly shape the future of groundbreaking AI. We offer the freedom and autonomy to execute rapidly, develop your ideas, and see your vision become reality. If you're eager to build something extraordinary without the usual constraints, we want to hear from you.

About Us

Eta Compute is an innovative startup headquartered in Silicon Valley (Sunnyvale, CA) dedicated to delivering energy-efficient Edge AI / ML solutions. Our core SaaS product, Aptos Edge MLOps, is a no-code AutoML platform for building and deploying models on edge devices.

The Role

We are seeking a talented and committed ML Engineer or Applied ML Research Engineer to join our team and drive the advancement of our AutoML platform. In this role, you will be instrumental in enhancing its core capabilities, integrating new ML use cases, and scaling the product. An entrepreneurial, startup mindset is highly valued.

Key Responsibilities

Contribute to the development and enhancement of our cloud-based AutoML system for Edge AI.

Own, improve, and maintain our deep learning computer vision workflow, including multimodal models.

Ensure our platform remains at the forefront of ML technology and industry benchmarks.

Solve complex ML challenges within the platform's internal AI engine and supporting services.

Design and build data pipelines that combine AI and conventional algorithms for edge applications.

Collaborate on data strategies, preprocessing techniques, and model training methodologies.

Continuously research and apply the latest advancements in Deep Learning, Edge AI, and AutoML.

Qualifications

A PhD (preferred) or MSc with a stellar academic record in Computer Science, Data Science, or a related field.

5+ years of experience in ML / DS, with significant contributions to state-of-the-art deep learning, primarily in computer vision. Applied, practical experience outside of academia is highly valued.

Proficiency in key deep learning vision tasks :

classification, object detection, key point estimation, semantic / instance segmentation, re-identification, and anomaly detection and alike.

Knowledge of model optimization and compression techniques, such as quantization, pruning, layer decomposition, and knowledge distillation.

Strong proficiency in Python with the ability to write production-quality code. Experience with C / C++ is beneficial.

Familiarity with key ML frameworks (e.G., TensorFlow, PyTorch, ONNX).

Experience with cloud platforms (e.G., AWS) and web technologies (e.G., Node.Js, API development) is a strong asset.

Excellent problem-solving and English communication skills.

Preferred Skills (Pluses)

Direct experience in AutoML and / or Edge AI.

Knowledge of Graph Neural Networks (GNN) and / or Natural Language Processing (NLP).

Understanding of embedded systems concepts or hands-on experience.

Location & Contract

Location :

Remote, with a potential hybrid arrangement in the future. Occasional travel for project meetings will be required.

Contract Type :

Full-time employment contract or B2B.