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Vatic Labs

engineering opportunity

AI Engineer

Design and develop cutting-edge frameworks and platforms for machine learning to drive trading and research efforts. Define and execute large-scale experiments for rigorous evaluation and in-depth analysis of foundational models.

New York, New York, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Vatic Labs?

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.

As an AI Engineer you will:

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.

We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.

If you possess the following, we would love to explore what is available for you with our team:

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

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

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.

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.

Which skills does this role require?

PythonLinuxMachine LearningDeep LearningGenerative AIMulti-GPU Model TrainingPerformance TuningParallel ComputingFoundational ModelsModel EvaluationSoftware OptimizationAnalytical Problem SolvingAI EngineerMulti-GPUModel ArchitecturesTradingResearchCloud PlatformsML FrameworksMultimodal DataVisionLanguageStructured DataLLMsPrototyping

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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