Develop state-of-the-art foundation models and multimodal systems using advanced ML methods. Lead original research in Reinforcement Learning, VLMs, and diffusion models with strong mathematical foundations. Requires 4+ years ML research experience and advanced degree in Computer Science or related field.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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 a Research Engineer, you will focus on developing state-of-the-art foundation models and multimodal systems. You will lead the exploration of novel ML methods, leveraging your strong mathematical background to push the boundaries of current machine learning technology.
What You'll Do
- Conduct original research to develop novel machine learning methods, including Reinforcement Learning, VLMs, and diffusion models.
- Design and implement large-scale foundation models and multimodal systems using frameworks like PyTorch or JAX.
- Apply strong mathematical foundations to solve complex problems in model architecture and training stability.
- Advance the development of cutting-edge AI solutions through rigorous experimental design and implementation.
- Translate theoretical research into functional, scalable machine learning components for diverse applications.
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 4+ years of experience in Machine Learning Research or Software Engineering.
- Proven track record of novel research in foundation models, multimodal systems, or RL.
- Proficiency with deep learning frameworks such as PyTorch or JAX.
- Strong mathematical foundations and experience with advanced ML methods.
- Advanced degree (PhD or MS) in Computer Science, Machine Learning, or a related field.
- Advanced proficiency in English.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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.
Apply now!
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