ML Research Scientist - Remote Work | REF#300946

BairesDev; United States; A distancia; MXN 2.042.000 - 3.063.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Competitive USD compensation

Hardware and software setup

Flexible hours

Parental leave and holidays

Global team mentorship and growth

Diverse and multicultural environment

Descripción de la vacante

BairesDev is seeking an ML Research Scientist for a fully remote role. You will lead development of next-generation AI, focusing on foundation models and multimodal systems, and publish findings to advance the field.

Join a global team and collaborate with engineers to deploy research into scalable, production-ready architectures, while maintaining a strong publication record and staying at the forefront of AI.

Formación

• 4+ years of experience in Machine Learning Research or a related quantitative field.
• Advanced proficiency with deep learning frameworks such as PyTorch or JAX.
• Proven track record of research in foundation models, multimodal systems, or diffusion models.
• Strong mathematical foundations including linear algebra, calculus, and statistics.
• Experience with large-scale model training and publication in top-tier AI conferences.
• Advanced proficiency in English.

Responsabilidades

• Design and implement innovative machine learning algorithms focusing on foundation models and multimodal systems.
• Conduct original research on novel ML methods, including reinforcement learning, vision-language models, and diffusion processes.
• Develop and optimize state-of-the-art models using frameworks such as PyTorch or JAX to solve complex real-world problems.
• Collaborate with engineering teams to transition theoretical research into production-ready architectures and scalable systems.
• Maintain a high standard of research quality and stay at the forefront of AI advancements through a strong publication record.

Conocimientos

Machine Learning Research

PyTorch

JAX

Foundation Models

Multimodal Systems

Diffusion Models

Mathematical Foundations

English Proficiency

Large-scale Training

Herramientas

PyTorch

JAX

Descripción del empleo

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

As an ML Research Scientist, you will drive the development of next-generation AI by exploring and implementing novel machine learning methods. You will act as a lead contributor to the advancement of foundation models and multimodal systems, translating complex mathematical theories into high-performance algorithmic solutions.

What You'll Do

• Design and implement innovative machine learning algorithms focusing on foundation models and multimodal systems.
• Conduct original research on novel ML methods, including reinforcement learning, vision-language models, and diffusion processes.
• Develop and optimize state-of-the‑art models using frameworks such as PyTorch or JAX to solve complex real‑world problems.
• Collaborate with engineering teams to transition theoretical research into production‑ready architectures and scalable systems.
• Maintain a high standard of research quality and stay at the forefront of AI advancements through a strong publication record.

What We Are Looking For

• 4+ years of experience in Machine Learning Research or a related quantitative field.
• Advanced proficiency with deep learning frameworks such as PyTorch or JAX.
• Proven track record of research in foundation models, multimodal systems, or diffusion models.
• Strong mathematical foundations including linear algebra, calculus, and statistics.
• Experience with large-scale model training and publication in top-tier AI conferences.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!