AI Research Scientist

Vintti is a staffing agency with a unique mission: to create win-win scenarios for both US businesses and Latin American professionals. We address the challenges faced by SMBs, startups, and firms in finding the right talent, as well as the aspirations of skilled Latin American workers seeking international opportunities. By bridging this gap, Vintti enables US companies to access a wealth of untapped talent, while providing Latin American professionals with pathways to expand their careers on a global scale. Our approach cultivates a symbiotic ecosystem that benefits all parties involved.

An AI Research Scientist is a key player in the field of artificial intelligence, responsible for developing new algorithms, models, and technologies that advance the capabilities of AI systems. They engage in rigorous research, often blending experimental techniques with theoretical analysis to push the boundaries of what AI can achieve. This role involves a mix of data analysis, experimentation, and collaboration with interdisciplinary teams to solve complex real-world problems. By staying abreast of the latest advancements in AI, these scientists aim to innovate and contribute to the evolving landscape of artificial intelligence.

- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong background in machine learning, deep learning, neural networks, and other AI techniques.
- Proficiency in programming languages such as Python, R, Java, or C++.
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or scikit-learn.
- Solid understanding of data structures, algorithms, and software development principles.
- Demonstrated ability to publish research findings in high-impact journals and conferences.
- Strong analytical and problem-solving skills with experience working on large-scale datasets.
- Excellent written and oral communication skills for effective collaboration and presentation.
- Ability to work both independently and collaboratively within multidisciplinary teams.
- Proficiency in statistical analysis and mathematical modeling.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with version control systems such as Git.
- Proven track record of securing research funding through grants or industry partnerships.
- Experience in mentoring or supervising junior researchers and interns.
- Knowledge of best practices in software development, including code documentation and project management.
- Strong attention to detail and commitment to producing high-quality work.
- Ability to stay current with the latest trends and advancements in AI research.
- Experience in deploying and maintaining AI systems in production environments.
- Strong time management skills and the ability to manage multiple projects simultaneously.
- Commitment to ethical AI research and awareness of potential societal impacts.

- Conduct extensive literature reviews to remain at the forefront of AI and machine learning advancements.
- Develop and implement novel AI models and algorithms tailored to specific research problems.
- Design, execute, and analyze experiments to test and refine AI models.
- Analyze complex datasets to uncover insights that drive model innovation.
- Collaborate with cross-functional teams to align AI research with business objectives.
- Author and publish research findings in esteemed peer-reviewed journals and conferences.
- Present research outcomes at various academic and industry platforms.
- Review, critique, and provide constructive feedback on research papers for conferences and journals.
- Optimize existing AI models to enhance performance and computational efficiency.
- Mentor junior researchers and interns, aiding their growth and development.
- Write and secure grant proposals to obtain funding for research initiatives.
- Implement robust coding practices, including version control and thorough documentation.
- Develop and maintain research software, tools, and AI frameworks.
- Monitor deployed AI systems, ensure functionality, and resolve any operational issues.
- Integrate cutting-edge technologies and methodologies into ongoing research projects.

The ideal candidate for the role of an AI Research Scientist is a pioneering thinker with a strong passion for pushing the boundaries of artificial intelligence technologies. They hold a Ph.D. in Computer Science, AI, Machine Learning, or a closely related field, and possess a robust background in machine learning, deep learning, neural networks, and other advanced AI techniques. Proficiency in programming languages such as Python, R, Java, or C++ and experience with frameworks like TensorFlow, PyTorch, and Keras are essential. This candidate is marked by a proven track record of publishing impactful research in esteemed journals and presenting findings at prominent conferences. They have exceptional analytical and problem-solving skills, along with the ability to work with complex, large-scale datasets. Their expertise extends to statistical analysis, mathematical modeling, and utilizing cloud platforms such as AWS, Google Cloud, or Azure. The ideal candidate excels in both independent research and collaborative environments, demonstrating strong interpersonal skills and effective communication abilities. They have a keen eye for detail, ensuring high-quality, well-documented work, and are well-versed in best practices for software development and version control using systems like Git. Demonstrated success in securing research funding through grants or industry partnerships is vital. Furthermore, this candidate is adept at mentoring junior researchers, fostering their development, and leading by example with strong time management, multitasking skills, and commitment to ethical AI research. They are adaptable to new technologies and methodologies, persistent and resilient in overcoming research challenges, and dedicated to continuous learning and openness in sharing knowledge. Their ability to translate complex theoretical ideas into practical applications underscores their capability to significantly impact the field of AI research.

- Conduct literature reviews to stay updated on the latest advancements in artificial intelligence and machine learning.
- Develop new AI models and algorithms to address specific research challenges.
- Design and implement experiments to validate the performance and accuracy of AI models.
- Analyze large datasets to extract meaningful insights and patterns that inform model development.
- Collaborate with cross-functional teams including data scientists, engineers, and product managers to align research goals with business objectives.
- Write and publish research papers in peer-reviewed journals or conference proceedings.
- Present research findings at academic conferences, symposia, and industry events.
- Review and critique research papers submitted by other researchers to journals or conferences.
- Optimize and fine-tune existing AI models to improve their efficiency and effectiveness.
- Mentor junior researchers and interns, providing guidance on project work and professional development.
- Secure funding through grant proposals, patents, and collaborations with academic and industry partners.
- Implement best practices for code development, version control, and documentation.
- Develop and maintain research software and simulation tools.
- Monitor AI systems in production to ensure they are operating as expected and troubleshoot any issues that arise.
- Explore and incorporate state-of-the-art technologies and methodologies into AI research initiatives.

- Innovative thinker with a passion for advancing AI technologies.
- Strong analytical and critical-thinking skills.
- Proficiency in complex problem-solving and optimization.
- Excellent collaborator with strong interpersonal skills.
- Self-motivated and capable of independent research.
- Detail-oriented with a high standard for quality and accuracy.
- Effective communicator with strong presentation skills.
- Adaptive to new technologies and methodologies.
- Persistent and resilient in tackling challenging research problems.
- Ethical mindset with awareness of AI's societal impacts.
- Strong leadership and mentorship abilities.
- Efficient time management and multitasking skills.
- Commitment to continuous learning and professional development.
- Strong ability to translate complex ideas into practical applications.
- Proven ability to secure research funding and foster industry partnerships.
- Commitment to open science and knowledge sharing.

- Competitive salary range based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- Flexible working hours and remote work options
- Generous paid time off and holiday schedule
- Opportunities for professional development and continuing education
- Access to state-of-the-art research facilities and resources
- Collaborative and inclusive work environment
- Retirement savings plan with company matching contributions
- Performance-based bonuses and incentives
- Well-being programs and on-site fitness facilities
- Employee assistance programs for mental health and counseling
- Conference and travel allowances for attending industry events
- Support for publication and patent filing fees
- Opportunities to work on cutting-edge AI projects and technologies
- Company-sponsored social events and team-building activities
- Relocation assistance for eligible candidates
- Mentorship and career coaching programs
- Opportunities for internal career advancement and leadership roles
- Inclusive maternity and paternity leave policies