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Machine Learning Algorithms Jobs in Princeton, NJ

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus * Results oriented ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus * Results oriented ...

Tata Consultancy Services

AI Researcher

Edison, NJ · On-site

You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Open to Quantitative Finance, Algorithmic Trading, and Other * Experience contributing to or ...

Virtu Financial

Machine Learning Engineer

New York, NY · On-site

$200K - $300K/yr

Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a ... Open to Quantitative Finance, Algorithmic Trading, and Other * Experience contributing to or ...

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Machine Learning Algorithms information

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$26.7K

$44.6K

$92.2K

How much do machine learning algorithms jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning algorithms in Princeton, NJ is $44,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,200.00 per year, depending on experience, location, and employer.

What are machine learning algorithms?

Machine learning algorithms are computational methods that enable computers to learn patterns and make decisions or predictions from data without being explicitly programmed for each task. These algorithms can be classified into categories such as supervised learning, unsupervised learning, and reinforcement learning, each suited for different data and goals. Examples include decision trees, support vector machines, neural networks, and clustering algorithms. The choice of algorithm depends on the type of problem, the nature of the data, and the desired outcome.

What are the key skills and qualifications needed to thrive as a Machine Learning Algorithms Engineer, and why are they important?

To excel as a Machine Learning Algorithms Engineer, you need a solid background in mathematics, statistics, programming (especially Python or R), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow, PyTorch, or scikit-learn), data preprocessing tools, and cloud platforms is typically required, along with knowledge of version control systems. Strong analytical thinking, problem-solving abilities, and effective communication skills set top performers apart in this role. These skills and qualities are critical for designing robust models, collaborating with cross-functional teams, and translating complex data into actionable solutions.

What is the difference between Machine Learning Algorithms vs Data Scientists?

AspectMachine Learning AlgorithmsData Scientists
CredentialsKnowledge of algorithms, programming, statisticsAdvanced degrees in data science, statistics, or related fields
Work EnvironmentDeveloping, testing, and tuning algorithmsAnalyzing data, building models, interpreting results
Industry UsageEmbedded within data science workflows and toolsLeading data analysis projects, decision-making

While machine learning algorithms are the core tools used by data scientists, the role of a data scientist encompasses understanding, applying, and interpreting these algorithms within broader data analysis and business contexts. Machine learning algorithms are technical components, whereas data scientists integrate these tools to derive insights and inform strategies.

What are some common challenges faced when collaborating with cross-functional teams as a Machine Learning Algorithms specialist?

As a Machine Learning Algorithms specialist, collaborating with cross-functional teams such as data engineers, software developers, and product managers can present challenges like aligning on project goals, communicating complex technical concepts to non-experts, and integrating models into existing systems. It's important to establish clear communication channels, define shared objectives early, and actively participate in iterative feedback cycles. These practices help ensure that machine learning solutions are both technically sound and aligned with business needs.
What are popular job titles related to Machine Learning Algorithms jobs in Princeton, NJ? For Machine Learning Algorithms jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Algorithms jobs in Princeton, NJ look for? The top searched job categories for Machine Learning Algorithms jobs in Princeton, NJ are:
Machine Learning Algorithms jobs near you
Machine Learning Researcher

Machine Learning Researcher

Virtu Financial

New York, NY • On-site

$200K - $300K/yr

Other

Re-posted 16 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.

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