NirYu
AI/ML- Senior Applied Scientist- Inbound Team
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJul 2, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
AI/ML- Senior Applied Scientist- Inbound Team
Requirements and responsibilities
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Responsibilities:
- Develop and deploy Computer Vision and Machine Learning solutions to solve business problems.
- Maintain clean, efficient, and scalable code that meets industry standards
- Analyze large datasets to extract actionable insights and make informed decisions.
- Employ state-of-the-art Machine Learning methodologies and frameworks to develop robust and scalable models.
- Influence technical direction and take ownership of key components of systems and solutions, ensuring that they meet the needs of the business.
- Collaborate with key stakeholders in the development of data-driven solutions and deployable products.
- Mentor other team members to help establish team domain expertise.
- Contribute to the company's intellectual property and technical leadership through patents and publications at top-tier conferences and journals.
Minimum Requirements:
- 5+ years of industry experience in Computer Vision and applied Machine Learning
- Masters Degree or PhD in CS / ML, statistics, or related field, or 8+ years of industry experience.
- 3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale
- Deep understanding of Computer Vision and ML algorithms/techniques (CNNs, transformers, GANs, optimizers, regularization) and experiment design and best practices (A/B testing, training/serving pipelines, feature engineering).
- Extensive experience in scientific libraries in Python (numpy, pandas) and Machine Learning tools and frameworks (PyTorch, Tensorflow, Keras, Scikit-Learn)
- Strong data engineering skills and experience working with large scale datasets
- Experience with experiment automation frameworks (Ray Tune, W&B, Kubeflow)
- Experience with cloud technologies AWS, GCP or Azure
- Fluency in Python
Preferred Requirements:
- PhD preferred (CS, ML, AI, Stats, OR or related field)
- Background in applying ML techniques to solve real-world business problems in the retail sector.
- Familiarity with MLOps tools and pipelines.
- Impact-focused and passionate about delivering high-quality models
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