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Head of AI Research Product

Via

New York, New York • Today

Full-time

USD 250,000.00 - 310,000.00 per year

Head of AI

Mitchell Martin, Inc.

New York, New York • 11d ago

Easy Apply

Full-time, Third Party

$157500 - $225000

Head of AI Solutions, COO Technology - MD (C16)

Citi

New York, New York • 21d ago

Full-time

USD 250,000.00 - 500,000.00 per year

Head of AI Solutions, COO Technology - MD (C16)

Citi

New York, New York • Today

Full-time

USD 250,000.00 - 500,000.00 per year

Technical Program Manager

Aditi Consulting

New York, New York • 24d ago

Easy Apply

Contract

$93 - $96

PhD Intern, AI Applied Scientist (2027)

Figma

New York, New York • Today

Full-time

USD 74.00 - 74.00 per hour

User Experience Researcher

Oscar Health

New York, New York • Today

Full-time

USD 163,944.00 - 215,176.50 per year

Staff AI Scientist, Foundation Models

Tempus

New York, New York • Today

Full-time

USD 220,000.00 - 260,000.00 per year

Member of Technical Staff, Finance Research

Pro Integrate

Remote or New York, New York • Today

Easy Apply

Full-time

$$400K - $800K/yr compensation

Member of Technical Staff, Medical Research

Pro Integrate

Remote or New York, New York • Today

Easy Apply

Full-time

$$400K - $800K/yr compensation

Applied AI Engineer (Summer Internship)

Balyasny Asset Management

New York, New York • Today

Full-time

Research Platform - AI Engineer - NYC or Miami- Award-Winning Global Market Maker

Oxford Knight

New York, New York • 14d ago

Full-time

Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks

Apple, Inc.

New York, New York • Today

Full-time

AI Research Scientist - New York- Global Quant Firm

Oxford Knight

New York, New York • 12d ago

Full-time

USD 200,000.00 per year

Deep Learning Research Intern - Summer 2027 - New York

IMC

New York, New York • 5d ago

Full-time

USD 300,000.00 per year

Artificial Intelligence Research, Business Operations Lead

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 133,000.00 - 205,000.00 per year

Conversational AI Designer

Guardian Life Insurance Company

New York, New York • Today

Full-time

USD 81,580.00 - 122,365.00 per year

Medical Experts - USA

Braintrust

Remote or New York, New York • Today

Part-time

Vice President, Artificial Intelligence Research & Development

Trans Union LLC

New York, New York • Today

Full-time

USD 193,500.00 - 353,250.00 per year

Sourcing Program Manager - Hybrid

ApTask Global Workforce

New York, New York • Today

Full-time

USD 105.62 per hour

AI Product Senior Director

FanDuel

New York, New York • Today

Full-time

USD 230,000.00 - 302,000.00 per year

Senior UX Designer

Victoria's Secret

New York, New York • Today

Full-time

USD 129,700.00 - 176,820.00 per year

Senior Sourcer, Quantitative Research

The Voleon Group

New York, New York • 7d ago

Full-time

Quantitative Trading & Research - AI Scientist - Associate

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 150,000.00 - 200,000.00 per year

Applied Machine Learning Engineer

Fireworks AI

New York, New York • Today

Full-time

USD 170,000.00 - 240,000.00 per year

Graduate Deep Learning Researcher - New York

IMC

New York, New York • 5d ago

Full-time

USD 300,000.00 per year

Sr. Technical Outerwear Designer - Women Apparel

ilocatum

New York, New York • Today

Full-time

Compensation information provided in the description

Full Stack Engineer

NxT Level

New York, New York • Today

Full-time

Applied AI/ML Senior Associate - Payments

JPMorgan Chase & Co.

New York, New York • 14d ago

Full-time

Compensation information provided in the description

AI Security Specialist

Suno

New York, New York • Today

Full-time

USD 276,960.00 - 363,510.00 per year

Job Details

Skills

Product Innovation
Roadmaps
Network
Routing
Training
Network Design
Ensemble
Pricing
Collaboration
Partnership
Economics
Artificial Intelligence
A/B Testing
Evaluation
Machine Learning Operations (ML Ops)
Statistics
Applied Mathematics
Management
Modeling
Optimization
Monte Carlo Method
Real-time
SaaS
User Experience
KPI
Research
Machine Learning (ML)
Product Strategy
Insurance

Summary

Via is a global leader in smart transportation, using technology to revolutionize mobility worldwide. Our impact ranges from transforming individual daily commutes to reducing the collective environmental cost of transit systems. We're driven by ambitious goals. This is an opportunity to join a core team reshaping how public mobility operates at scale.

We are looking for a Head of AI Research Product to lead the intersection of applied machine learning research and product innovation across Via's rider and transit operations platform. This role sits at the frontier of what AI can do for public transportation, not as a feature layer, but as the engine that makes the system smarter, more equitable, and more efficient for every rider and agency we serve.

This is a three-part role: innovating with lighthouse customers to pilot and pressure-test cutting-edge approaches in real-world transit environments, conducting original applied research, and driving productization of proven methods into Via's core platform.

What you'll do:

Build and lead Via's AI research product function, defining the roadmap for how machine learning advances rider experience and transit network performance.
Design and deploy reinforcement learning systems that optimize routing, pooling efficiency, and real-time dispatching, balancing rider satisfaction against vehicle utilization and transit agency cost targets.
Pioneer AlphaGo-style machine learning for transit: combine deep reinforcement learning, and tree search over high-fidelity simulations of real transit networks, training policy and value networks that discover dispatching, pooling, and network-design strategies beyond what hand-built heuristics or conventional optimization can reach.
Develop weighted ensemble models and multi-objective optimization frameworks that surface the right tradeoffs between competing system goals: wait times, cost per ride, emissions, and equity of service.
Invent personalization systems that adapt the rider mobile experience in real time, surfacing relevant trip options, proactive alerts, and dynamic pricing signals, in close partnership with the rider mobile product team.
Research and productize behavioral incentive models that increase ridership and shift demand to improve aggregation: surge smoothing mechanisms, loyalty structures, and gamified engagement grounded in behavioral economics and causal inference.
Partner with lighthouse transit agencies to co-develop and validate novel AI approaches, turning field pilots into scalable platform features.
Establish rigorous experimentation infrastructure (A/B testing, contextual bandits, offline policy evaluation) to measure the real-world impact of model changes on rider behavior and agency outcomes.

What we are looking for:

MS or PhD in a quantitative field: machine learning, operations research, statistics, applied mathematics, or a related discipline.
Deep hands-on proficiency in ML: reinforcement learning, supervised and unsupervised methods, probabilistic modeling, and optimization. Experience with AlphaGo-style approaches (self-play, Monte Carlo tree search, policy/value networks) and with large-scale real-time inference systems is a strong plus.
Genuine user empathy: you think as carefully about what a rider or agency dispatcher experiences as you do about model architecture.
Very user-minded and clear-eyed about outcomes for users. You work closely with the mobile and SaaS product teams on experimentation, and you know how to find the balance between a delightful user experience and service KPIs such as efficiency and rider experience.
Business sense and product instincts: you know how to translate a research finding into a shipped product and a shipped product into a business outcome.
Experience partnering with engineering teams to move models from research into production at scale.
Track record of working with external customers or partners to iterate on novel solutions in ambiguous, real-world conditions.
Comfort operating across research, product, and commercial contexts: you can present a model architecture to an ML engineer and a product strategy to a transit authority CEO.
Passion for building technology that makes public transit work better for everyone, especially riders in underserved communities.

Compensation and Benefits:

Final salary will be determined by the candidate's experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
Salary Range: $250,000 - $310,000 per year
Comprehensive health coverage, with low-cost dental and vision plans
A 401(k) with a generous company match and vesting
Fully paid parental leave for new parents, with extended leave options
Additional benefits (mental health, pet insurance, and other wellness perks)
20 days of paid time off (PTO) annually

Ready to join the ride?

Via is an equal opportunity employer.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80184962
Position Id: 612cfff22d837fbf8949815aaed74949
Posted 4 days ago

Fitment

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New York, New York

•

Today

Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are c

Full-time

Applied Researcher 4 (AI Foundations)

New York, New York

•

Today

Applied Researcher 4 (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class app

Full-time

Applied Researcher 4 (AI Foundations, LLM Customization and Finetuning)

New York, New York

•

Today

Applied Researcher 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to

Full-time

Sr. Director, Applied Researcher

New York, New York

•

Today

Sr. Director, Applied Researcher At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science a

Full-time

Job Details

Skills

Product Innovation
Roadmaps
Network
Routing
Training
Network Design
Ensemble
Pricing
Collaboration
Partnership
Economics
Artificial Intelligence
A/B Testing
Evaluation
Machine Learning Operations (ML Ops)
Statistics
Applied Mathematics
Management
Modeling
Optimization
Monte Carlo Method
Real-time
SaaS
User Experience
KPI
Research
Machine Learning (ML)
Product Strategy
Insurance

Summary

Build and lead Via's AI research product function, defining the roadmap for how machine learning advances rider experience and transit network performance.
Design and deploy reinforcement learning systems that optimize routing, pooling efficiency, and real-time dispatching, balancing rider satisfaction against vehicle utilization and transit agency cost targets.
Pioneer AlphaGo-style machine learning for transit: combine deep reinforcement learning, and tree search over high-fidelity simulations of real transit networks, training policy and value networks that discover dispatching, pooling, and network-design strategies beyond what hand-built heuristics or conventional optimization can reach.
Develop weighted ensemble models and multi-objective optimization frameworks that surface the right tradeoffs between competing system goals: wait times, cost per ride, emissions, and equity of service.
Invent personalization systems that adapt the rider mobile experience in real time, surfacing relevant trip options, proactive alerts, and dynamic pricing signals, in close partnership with the rider mobile product team.
Research and productize behavioral incentive models that increase ridership and shift demand to improve aggregation: surge smoothing mechanisms, loyalty structures, and gamified engagement grounded in behavioral economics and causal inference.
Partner with lighthouse transit agencies to co-develop and validate novel AI approaches, turning field pilots into scalable platform features.
Establish rigorous experimentation infrastructure (A/B testing, contextual bandits, offline policy evaluation) to measure the real-world impact of model changes on rider behavior and agency outcomes.

What we are looking for:

MS or PhD in a quantitative field: machine learning, operations research, statistics, applied mathematics, or a related discipline.
Deep hands-on proficiency in ML: reinforcement learning, supervised and unsupervised methods, probabilistic modeling, and optimization. Experience with AlphaGo-style approaches (self-play, Monte Carlo tree search, policy/value networks) and with large-scale real-time inference systems is a strong plus.
Genuine user empathy: you think as carefully about what a rider or agency dispatcher experiences as you do about model architecture.
Very user-minded and clear-eyed about outcomes for users. You work closely with the mobile and SaaS product teams on experimentation, and you know how to find the balance between a delightful user experience and service KPIs such as efficiency and rider experience.
Business sense and product instincts: you know how to translate a research finding into a shipped product and a shipped product into a business outcome.
Experience partnering with engineering teams to move models from research into production at scale.
Track record of working with external customers or partners to iterate on novel solutions in ambiguous, real-world conditions.
Comfort operating across research, product, and commercial contexts: you can present a model architecture to an ML engineer and a product strategy to a transit authority CEO.
Passion for building technology that makes public transit work better for everyone, especially riders in underserved communities.

Compensation and Benefits:

Final salary will be determined by the candidate's experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
Salary Range: $250,000 - $310,000 per year
Comprehensive health coverage, with low-cost dental and vision plans
A 401(k) with a generous company match and vesting
Fully paid parental leave for new parents, with extended leave options
Additional benefits (mental health, pet insurance, and other wellness perks)
20 days of paid time off (PTO) annually

Ready to join the ride?

Via is an equal opportunity employer.

Dice Id: 80184962
Position Id: 612cfff22d837fbf8949815aaed74949
Posted 4 days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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New York, New York

•

Today

Full-time

Applied Researcher 4 (AI Foundations)

New York, New York

•

Today

Full-time

Applied Researcher 4 (AI Foundations, LLM Customization and Finetuning)

New York, New York

•

Today

Full-time

Sr. Director, Applied Researcher

New York, New York

•

Today

Full-time

Head of AI Research Product

Skills

Summary

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Head of AI Research Product

Job Details

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Summary

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