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Cognitive Computing Jobs in New York (NOW HIRING)

Vatic Labs

AI Researcher - Vatic Labs

Manhattan, NY · On-site

$175K - $250K/yr

... Quantitative Finance, Cognitive Science, Physics or another field of science. * Experience ... NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications ...

Vatic Labs

AI Researcher

New York, NY · On-site

$175K - $250K/yr

... Quantitative Finance, Cognitive Science, Physics or another field of science. * Experience ... NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications ...

Nestle

Senior Data Scientist

Bridgewater, NJ

... cognitive and machine learning methods to solve business challenges. * Experience working with relational database and cloud computing technologies such as Databricks, Snowflake, AWS, Azure ML and ...

Nestlé S.A.

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

... cognitive and machine learning methods to solve business challenges. * Experience working with relational database and cloud computing technologies such as Databricks, Snowflake, AWS, Azure ML and ...

Child Mind Institute

Post-Doctoral Fellow

Manhattan, NY · On-site

$60K - $79K/yr

... cognitive, biometric, and/or multimodal data types. You will be primarily responsible for designing ... high-performance computing ecosystems, with version control through GitHub or equivalent ...

Child Mind Institute

Post-Doctoral Fellow

Manhattan, NY · On-site

$60K - $79K/yr

... cognitive, biometric, and/or multimodal data types. You will be primarily responsible for designing ... high-performance computing ecosystems, with version control through GitHub or equivalent ...

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Cognitive Computing information

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How much do cognitive computing jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for cognitive computing in New York is $58.45, according to ZipRecruiter salary data. Most workers in this role earn between $30.24 and $72.84 per hour, depending on experience, location, and employer.

How does a cognitive computing specialist typically collaborate with data scientists and software engineers in project teams?

Cognitive computing specialists often work closely with data scientists and software engineers to design, build, and deploy intelligent systems. They contribute expertise in machine learning, natural language processing, and reasoning algorithms, while data scientists focus on preparing and analyzing data, and software engineers handle system integration and deployment. Effective collaboration is essential, as projects usually require regular meetings, knowledge sharing, and joint problem-solving to ensure the cognitive solution aligns with business objectives and technical requirements.

What are the key skills and qualifications needed to thrive as a cognitive computing specialist, and why are they important?

To thrive as a Cognitive Computing Specialist, you need a solid background in computer science, artificial intelligence, and machine learning, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, data analysis tools, cloud computing platforms, and AI frameworks such as TensorFlow or IBM Watson is typically required. Critical thinking, creativity, and strong communication skills help you design innovative solutions and collaborate with multidisciplinary teams. These abilities are essential for developing intelligent systems that solve complex problems and drive business value.

What is the difference between Cognitive Computing vs Data Scientist?

AspectCognitive ComputingData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in AI or machine learningDegrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentAI labs, tech companies, research institutionsBusiness analytics teams, tech firms, consulting agencies
Industry UsageDeveloping AI systems that simulate human thoughtAnalyzing data to extract insights and inform decisions

While both roles involve advanced technical skills, Cognitive Computing focuses on creating AI systems that mimic human cognition, whereas Data Scientists analyze data to generate insights. The roles often overlap in AI and tech industries but serve different primary functions.

What is cognitive computing?

Cognitive computing refers to systems that simulate human thought processes using artificial intelligence, machine learning, and natural language processing. In the context of jobs like cognitive computing specialists, skills in data analysis, programming, and AI tools are essential for developing and managing these systems.

What are the most commonly searched types of Cognitive Computing jobs in New York?

The most popular types of Cognitive Computing jobs in New York are:

What are popular job titles related to Cognitive Computing jobs in New York?

For Cognitive Computing jobs in New York, the most frequently searched job titles are:

What job categories do people searching Cognitive Computing jobs in New York look for?

The top searched job categories for Cognitive Computing jobs in New York are:

Cognitive Computing jobs near you
Infographic showing various Cognitive Computing job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution, with an average salary of $121,575 per year, or $58.4 per hour.

AI Researcher - Vatic Labs

Vatic Labs

Manhattan, NY • On-site

$175K - $250K/yr

Full-time

Medical

Re-posted 3 hours ago

Job description

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods (e.g. GPT-4) to discover and capitalize on trading opportunities.
The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.
If you possess all or most of the following, we would love to explore what is available for you with our team:


  • Earned or will earn a Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.

  • Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.

  • Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.

  • Ability to generate impactful research in academic or professional pursuits.

  • Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.

  • Interest and enthusiasm for learning about financial markets (previous experience not required).


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 $250,000. 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.
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About Vatic Labs

Sourced by ZipRecruiter

Industry

Investment banking and securities dealing

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2013

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