NirYu
AI/ML- Senior Applied Scientist- Inbound Team
Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.
Publicado2 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
AI/ML- Senior Applied Scientist- Inbound Team
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
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
Roles similares
Mantén una lista de respaldo.
Stack
Usa estas tags para comparar roles remotos similares.
Elegibilidad de ubicación
Candidatos deberían aplicar solo cuando el país del perfil aparece aquí.
Tu perfilPaís no definidoInicia sesión para comparar tu país con este rol.
Flujo de contratación
WithMira muestra el rol y luego envía candidatos a la aplicación de la empresa.
1Revisa fit del rol, stack y elegibilidad de ubicación en WithMira.
2Abre la página de aplicación de la empresa desde el link rastreado.
3Guarda el rol o suscríbete a oportunidades similares antes de salir.