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Machine Learning Architect Jobs in New York (NOW HIRING)

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

Understanding of data structures, data modelling and software architecture * Deep knowledge of math ... Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have ...

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Showing results 1-20

Machine Learning Architect information

See New York salary details

$50.9K

$140.9K

$220.4K

How much do machine learning architect jobs pay per year?

As of Aug 1, 2026, the average yearly pay for machine learning architect in New York is $140,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $181,600.00 per year, depending on experience, location, and employer.

What typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.

What does a Machine Learning Architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What are the key skills and qualifications needed to thrive in the Machine Learning Architect position, and why are they important?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What are the most commonly searched types of Machine Learning Architect jobs in New York? The most popular types of Machine Learning Architect jobs in New York are:
What job categories do people searching Machine Learning Architect jobs in New York look for? The top searched job categories for Machine Learning Architect jobs in New York are:
Infographic showing various Machine Learning Architect job openings in New York as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $140,863 per year, or $67.7 per hour.

Machine Learning Researcher

Virtu Financial

New York, NY • On-site

$200K - $300K/yr

Full-time

Re-posted 8 days ago


Job description

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets.
As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual challenge and direct business impact. You'll tackle complex problems without obvious solutions, taking ownership of our entire modeling ecosystem-from feature engineering and deep learning architecture design to training dynamics and execution strategy. Your innovations will directly influence how we operate in markets globally, making a tangible difference in a field that demands constant evolution, creative problem-solving, and first-principles thinking.
A sense of curiosity, strong technical skillset, and collaborative mentality make you a good fit for this position, regardless of what industry you come from.
The Role
  • Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus
  • Results oriented mindset with a focus on developing deep learning models that directly impact P&L
  • Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges
  • Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems
  • Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas. Adapt techniques from your area of expertise to achieve breakthrough results in the financial markets
  • Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models

The Candidate
  • Minimum 2 years of applied experience developing deep learning solutions across diverse fields
  • Proven capability in applying machine learning methodologies between different problem domains and application areas
  • Strong production mindset with emphasis on delivering solutions that create bottom-line value and tangible business outcomes
  • Proficient in rapid prototyping and iterative development using Python and contemporary deep learning frameworks
  • Advanced programming expertise in areas such as core PyTorch/JAX framework development. Exposure to C++ in production environments is a plus
  • Comfortable partnering with other researchers, developers, and traders and working on cross-functional projects in a collaborative environment

Salary Range: $200,000 - $300,000 (salary range is exclusive of bonuses, benefits or other categories of compensation)
Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.