Machine Learning Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in Israel.

Join a globally distributed and innovation-driven team working at the intersection of artificial intelligence, neuroscience, and digital finance. In this role, you will contribute to groundbreaking projects focused on brain-computer interface technologies, deep learning, and generative AI systems designed to decode and interpret neural activity. You will collaborate with multidisciplinary experts to develop scalable machine learning models and cutting-edge AI infrastructure that push the boundaries of research and real-world applications. This is an exciting opportunity for someone passionate about advanced AI, scientific discovery, and building impactful technologies in a fast-paced remote environment. The role offers strong exposure to research-oriented work while maintaining a practical focus on scalable engineering solutions. If you thrive in highly technical environments and enjoy solving complex challenges, this opportunity offers both autonomy and global collaboration.

Accountabilities

• Develop, train, and optimize scalable deep learning models for brain decoding and AI-driven neuroscience applications.
• Collaborate closely with research scientists and cross-functional teams to advance generative modeling and representation learning initiatives.
• Improve and maintain machine learning pipelines, ensuring high performance, scalability, and reliability across distributed environments and GPU systems.
• Contribute to research activities, including experimentation, hypothesis testing, technical documentation, and participation in conferences or scientific publications.
• Maintain high standards of software engineering, automation, code quality, and reproducibility across projects.
• Identify technical bottlenecks and implement innovative solutions to improve workflows, infrastructure, and model performance.
• Support the deployment and adaptation of AI models across diverse computing environments and evolving business needs.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, Neuroscience, Informatics, or another quantitative discipline.
• 3\+ years of professional or research experience in machine learning, deep learning, or AI engineering.
• Strong programming skills in Python and hands-on experience with machine learning frameworks such as PyTorch.
• Solid understanding of supervised, self-supervised, semi-supervised, and generative deep learning techniques.
• Proven ability to design experiments, evaluate models scientifically, and derive data-driven conclusions.
• Experience handling large or unstructured datasets with strong analytical and problem-solving capabilities.
• Excellent collaboration, communication, and organizational skills in cross-functional and remote environments.
• Familiarity with tools and libraries such as Hugging Face, Transformers, Diffusers, or Accelerator is highly valued.
• Experience working with generative models, large language models, or neural data such as EEG, fMRI, or MEG is considered a strong advantage.
• PhD-level research experience and publications in leading AI or neuroscience conferences are a plus.

Benefits

• Fully remote work environment with global collaboration opportunities.
• Work on cutting-edge AI and neuroscience technologies with real-world impact.
• Exposure to advanced research initiatives in deep learning, generative AI, and brain-computer interfaces.
• Opportunity to collaborate with leading experts in AI, fintech, and decentralized technologies.
• Fast-paced, innovation-focused culture with significant autonomy and ownership.
• Career growth opportunities within a rapidly evolving international organization.
• Flexible and globally distributed work environment that values transparency, innovation, and continuous learning.

How Jobgether Works

We use an

AI-powered matching process

to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.