AI Engineer

Vaticlabs; New York (NY); On-site; USD 175,000 - 275,000; Full time

Benefits offered by this job

Comprehensive health benefits

Daily meals provided

Gym membership

Unlimited office snacks

Fun team outings

Organized game nights

Job summary

Vaticlabs in New York is seeking an AI Engineer to design and develop frameworks for trading and research. This role requires proven experience with large foundational models and a strong understanding of machine learning methodologies.

The ideal candidate will work in a highly collaborative environment, engaging with teams to foster innovation. The position offers competitive salaries, comprehensive health benefits, and a flat organizational structure for direct executive exposure.

Qualifications

• Keen interest in foundational models training and evaluation.
• Advanced proficiency with Python development in a Linux environment.
• Strong understanding of machine learning methods.

Responsibilities

• Design and develop cutting-edge frameworks for trading and research.
• Ensure frameworks are compatible with modern ML frameworks and cloud platforms.
• Define and run large-scale experiments for model analysis.

Skills

Python development

Machine learning

Deep learning

Generative AI

Performance tuning

Analytical skills

Problem-solving

Job description

About Vatic

Vatic is looking for an AI engineer with proven experience with large foundational models. Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next‑generation platforms and tools for Machine Learning as well as conducting state‑of‑the‑art research.

Responsibilities

• Play a crucial role in designing and developing cutting‑edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.
• Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures.
• Play a central role in defining and running large‑scale experiments that contribute towards rigorous evaluation and in‑depth model analysis.

Qualifications

• Keen interest in training, evaluation, understanding, and innovation of foundational models
• Advanced proficiency with Python development in a Linux environment
• Strong understanding of machine learning, deep learning, and generative AI methods and technologies
• Direct experience with multi‑GPU model training
• Demonstrable success building high performance software
• Performance tuning/optimization of software and algorithms
• Familiarity with parallel computing models and frameworks
• Strong analytical and problem‑solving skills
• A passion for trading, research, and technology
• Excitement and interest in using readily available open source technologies and prototypes
• Excellent communication skills
• Confident team player motivated by a fast‑paced environment

Benefits

• Flat structure with direct executive exposure – work closely with leadership and make an impact from day one.
• Comprehensive health benefits – full health insurance coverage for employees and dependents.
• Daily meals provided – enjoy free breakfast, lunch, and dinner at the office.
• Gym membership – stay healthy with a gym reimbursement, in addition to our onsite gym.
• Unlimited office snacks – fuel your day with your favorite snacks, always stocked.
• Fun team outings – build camaraderie and unwind with regular events.
• Organized poker, ping pong, and game nights – we’re a competitive group that enjoys getting together to challenge one another.

Salary

The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits. Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.