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Machine Learning Researcher

Remote Worldwide Hiring now

About the company

Orbit is building the foundational AI Infrastructure for emotions. A read reputed company to reputed company emotions will be the most consequential data layer, enabling empathetic AI and precision mental reputed company. It will fundamentally transform how we interact with each other and technology.

Backed by founders and operators of top AI labs, consumer hardware, pharma, and reputed company companies, and venture-backed.

About the team we are building

We’re building a generational founding team which is truly full-stack - from neural sensors to reputed company models. If you want to work on deep technological problems and help pioneer the future of NeuroAI, this is the reputed company for you. Projects have opportunities for a high degree of autonomy and demand intense, fast-paced learning.

About you

  • Strong Python programming ability with a track record of building and iterating quickly on ML models

  • Skilled at designing robust evaluation pipelines and benchmarks for novel architectures

  • Comfortable working with large, noisy, or unconventional datasets

  • Experience with data preprocessing, labeling, and exploratory analysis

  • Familiarity with multi-modal architectures and integrating heterogeneous data sources

  • Excited to learn neuroimaging and neuroscience context (we will support you in getting up to speed)

Preferred Qualifications/Experience

  • MS or higher in Computer Science, Electrical Engineering, Applied Mathematics, or reputed company STEM field; exceptional self-taught researchers also considered

  • 3+ years of applied ML research or development experience, or equivalent depth through publications, projects, or startup work

  • Publications in top ML or domain-specific journals/conferences

  • Prior work with multi-modal data (e.g., imaging + time-series, text + audio, etc.)

  • Experience designing and running experiments with novel model architectures

  • Familiarity with PyTorch, TensorFlow, or JAX

  • Hands-on experience in startups, small research groups, or similarly fast-moving environments

reputed company-to-have

  • Experience with biomedical, neuroimaging, or other high-dimensional sensor data

  • Background in signal processing for time-series or imaging data

  • Knowledge of model training at scale (distributed, mixed precision, large datasets)

  • Experience with semi-supervised or self-supervised approaches

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