דרושים » תוכנה » Algorithm engineer

We are looking for a highly motivated Algorithm Intern to join our cutting-edge AI team. This is a unique opportunity to work on real-world deep learning challenges, contribute to production-level systems, and collaborate with top-tier engineers and researchers.

This is a full-time, 3-month internship, with the potential to transition into a full-time Algorithm Engineer position upon successful completion.

Responsibilities
Design, implement, and improve deep learning models.
Work on real-world AI problems using large-scale data.
Collaborate closely with experienced engineers and researchers.
Run experiments, analyze results, and optimize model performance.
Take ownership of projects and drive them forward independently.
Stay up to date with the latest trends in AI and deep learning.

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how youll make an impact:
Design and Development of novel, robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems.
Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data-centric AI methodologies (active learning, data curation).
Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for real-time inference constraints (on Edge/Cloud devices).

We are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.

Responsibilities
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

Develop the optimization and computational-geometry algorithms at the core of us: for researchers who love hard, non-convex problems.

Required Algorithm Engineer (RTB)
As an Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. Youll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll make an impact:
Design, train, and deploy machine learning models for bid optimization, price prediction, win-rate prediction, CTR/CVR estimation, calibration, and auction optimization.
Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization.
Build and evolve large-scale ML models serving low-latency, high-throughput production traffic.
Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.
Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions.
Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.

Required Senior Algorithm Engineer (RTB)
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. Youll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
How youll make an impact:
Design, train, and deploy machine learning models for bid optimization, price prediction, win-rate prediction, CTR/CVR estimation, calibration, and auction optimization.
Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization.
Build and evolve large-scale ML models serving low-latency, high-throughput production traffic.
Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.
Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions.
Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.

We're looking for a Senior Algorithm Developer with a strong algorithmic background in both classical and deep learning methods.

What Youll Do
Develop, release and improve algorithms and models for recommending the best machining operations that balance customer valued KPIs such as machining time, machining tolerances and tool wear.
Dive deep into the CNC machining domain to cultivate intuition to inform your algorithm development decisions.
Collaborate with the Product team to discover and drive improvements in our human-AI interface.
Own your models in production. Validate your solutions against real-world machining scenarios and customer parts.
Research novel approaches to continuously improve our core technology.