Machine Learning Engineer Job at Canals in New York

Remote – North or South America | Full-Time | Canals AI
About Canals
Canals is a bootstrapped, profitable startup transforming logistics and distribution with AI. Our platform seamlessly integrates with the systems distributors, manufacturers, and vendors already use, automating tedious tasks and reducing failure points in moving physical goods across the globe. We’re a 40‑person, fully remote team (30 in engineering) across North and South America, operating at millions in ARR and growing rapidly without outside funding.

The Opportunity
Our customer base is expanding fast, and AI is central to how we scale and deliver value. We’re looking for a senior‑level Machine Learning Engineer who can move quickly while maintaining high quality, owning end‑to‑end ML pipelines while shaping product features that deliver real‑world impact.

What You’ll Do

Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers.

Own projects end‑to‑end, from problem definition and data exploration to model deployment and monitoring in production.

Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value.

Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.

Evaluate and implement tools and frameworks to improve our ML infrastructure and workflows.

Help shape the future of Canals as we continue scaling with our customers.

What We’re Looking For

Senior‑level experience building and deploying machine learning models in production environments.

Experience designing scalable data pipelines and working with large datasets.

Comfort taking ownership of projects and ensuring models deliver real, measurable customer value.

Strong Python skills with knowledge of ML frameworks (e.g., scikit‑learn, PyTorch, TensorFlow) and data tools (e.g., Pandas, Spark).

Ability to guide and unblock others, providing thoughtful code reviews and architectural feedback.

Experience working independently in a fast‑paced, product‑focused environment.

Previous experience in high‑growth startups or small teams is a plus.

Familiarity with MLOps practices and tools is a plus.

Why Join Canals

Bootstrapped and profitable: stability without the chaos of venture pivots.

Real‑world impact: your work improves global supply chains, saving customers time and reducing waste.

Strong engineering culture: we invest in quality and documentation to keep moving fast sustainably.

Remote‑first, flexible work environment across North and South America.

Opportunity to grow while staying close to technical work, including potential for ML leadership as we scale.

Seniority level
Mid‑Senior level

Employment type
Full‑time

Job function
Engineering and Information Technology

Industries
Technology, Information and Internet

Canals.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age.

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In Summary: Canals is a 40-person, fully remote team (30 in engineering) across North and South America . Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers . Work improves global supply chains, saving customers time and reducing waste .

En Español:

Remote América del Norte o del Sur ✓ Trabajo a tiempo completo  Canales AI About Canals Canais es una startup arrancada y rentable que transforma la logística y distribución con IA. Nuestra plataforma se integra perfectamente con los sistemas distribuidores, fabricantes y proveedores que ya utilizan, automatizando tareas tediosas y reduciendo puntos de falla en el movimiento de bienes físicos por todo el mundo. Somos un equipo de 40 personas, completamente remoto (30 en ingeniería) en toda América del norte y sur, operando en millones en ARR y creciendo rápidamente sin fondos externos. Buscamos un ingeniero de aprendizaje automático de nivel superior que pueda moverse rápidamente mientras se mantiene una alta calidad, posee tuberías de ML de extremo a extremo y ofrece características que impulsen el valor del negocio. Sirva como líder técnico y mentor en la área del impacto real de los productos. Lo que harás Diseñar, construir y mantener modelos escalables de machine learning que mejoren y automaticen los procesos logísticos para nuestros clientes. Proporcionar proyectos de extramo a extramo, desde la definición de problemas y la exploración de datos hasta la implementación y monitoreo de modelos en producción. Colaborar estrechamente con equipos de ingeniería para alinear el trabajo de ML con las necesidades del cliente y ofrecer funciones que generan valor al negocio. Servir como líder tecnológico y mentor dentro del ámbito del producto que produzca impactos reales. Desarrollar, desarrollar e implementar mejores prácticas de conocimiento de máquina que garantizan la reproducibilidad, la calidad y las revisiones. Proyectar y ejecutar herramientas y marcos de trabajo potenciales para mejorar los flujos de trabajo de la ML. Además de que la EEO sea la ley, es una política totalmente consistente con nuestros principios. Todos los solicitantes calificados recibirán consideración para el empleo sin tener en cuenta su estatus como veterano protegido o un individuo cualificado con discapacidad, u otro estado protegido como raza, religión, color, origen nacional, sexo, orientación sexual, identidad de género, información genética, embarazo o edad. #J-18808-Ljbffr