Vatic Labs Logo

Vatic Labs

AI Engineer

Reposted 13 Days Ago
In-Office
New York, NY, USA
175K-275K Annually
Mid level
In-Office
New York, NY, USA
175K-275K Annually
Mid level
The AI Engineer will design and develop innovative frameworks for trading and research, conducting large-scale experiments and collaborating with a team on foundational models and cloud platforms.
The summary above was generated by AI

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.

HQ

Vatic Labs New York, New York, USA Office

New York, New York, United States

Similar Jobs

Yesterday
Hybrid
New York, NY, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the design, development, deployment, and support of scalable AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Develop optimization techniques to improve AI system scalability, latency, throughput, hardware utilization, and cost. Shape foundational AI roadmaps, collaborate with cross-functional teams, and mentor engineers while applying emerging research to production.
Top Skills: AWSAws UltraclustersAzureC#C++Foundation ModelsGoGCPHugging FaceJavaLarge Language ModelsMachine LearningNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
Yesterday
Hybrid
New York, NY, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for scalability, latency, throughput, hardware utilization, and cost. Partner with research, engineering, product, and program teams; apply emerging AI research in production; shape technical roadmaps; and lead or mentor engineering teams.
Top Skills: AWSAws UltraclustersAzureC#C++Foundation ModelsGoGCPHugging FaceJavaLarge Language ModelsNemo GuardrailsPythonPyTorchScalaSimilarity SearchVector DatabasesVision-Language Models
2 Days Ago
Hybrid
New York, NY, USA
63K-140K Annually
Junior
63K-140K Annually
Junior
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Develop and maintain AI-powered full-stack applications across frontend, backend, APIs, databases, and cloud environments. Integrate AI services and automation into enterprise workflows, build secure data pipelines and retrieval systems, apply natural language processing, and support deployment, monitoring, and maintenance. Collaborate with business and technical stakeholders to deliver solutions for risk, compliance, audit, and forensics clients while ensuring data quality, security, and regulatory compliance.
Top Skills: AgentspaceAPIsAzure AiClaudeCloud ComputingCopilot StudioDatabasesDevOpsGeminiNatural Language Processing (Nlp)Openai

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account