🕒 yesterday
Design, build, and own cloud-based wealth management applications using C#,.NET, Azure, and modern front-end technologies, while shaping technical direction, improving engineering quality, and mentoring fellow engineers.
Senior Algorithm Engineer - Model Training & Optimization
📅 May 27
Machine LearningDeep LearningAlgorithm DesignModel Optimization
📜 Description
- Work hands-on across the full model-development lifecycle, from understanding tasks to improving model quality.
- Design, implement, and optimize machine learning and deep learning algorithms for semantic tasks.
- Develop and enhance end-to-end model training pipelines, including data preparation and evaluation.
- Investigate model behavior, identify failure modes, and drive targeted algorithmic improvements.
- Lead the investigation of complex algorithmic challenges and translate insights into measurable improvements.
🛠️ Requirements
- 5+ years of experience in algorithm engineering using machine learning, deep learning, or neural networks.
- Strong hands-on experience designing, training, evaluating, and optimizing models.
- Strong programming skills in Python.
- Hands-on experience with Spark, Pandas, Pytorch, and AWS.
- Experience with Polars and DuckDB is an advantage.
- Familiarity with sampling strategies, data augmentation, and hyperparameter optimization.
- Strong understanding of distributed systems, scalability, and performance optimization.
- Ability to independently investigate complex problems and translate findings into improvements.
Full job description
We are looking for a Senior ML Algorithm Engineer to lead the development and optimization of machine learning models for challenging real-world problems.
In this role, you will work hands-on across the full model-development lifecycle: understanding the task, designing and adapting algorithms, building effective training strategies, analyzing data and failure modes, and improving model quality and efficiency through rigorous experimentation.
This is an algorithm-focused role for someone who enjoys getting deeply involved in the details of model training and optimization. You will not simply operate an existing training infrastructure—you will investigate open-ended problems and develop practical solutions involving model architecture, data and sample selection, training objectives, optimization methods, and evaluation
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!What will your job look like:
All you need is:
Ability to independently investigate complex problems, identify patterns in data and model behavior, run experiments, and translate findings into measurable algorithmic improvements.
Strong analytical and problem-solving skills, with a practical, hands-on, and ownership-driven mindset.
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