Machine Learning Engineer Internship — Generative Modeling

BehaviorAI

New York (NY)

On-site

USD 62,000 - 83,000

Full time

2 hours ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Founding team collaboration
Competitive hourly pay
VC backing

Job summary

BehaviorAI in New York City is seeking a Machine Learning Engineering Intern with a background in generative modeling to help build the next generation of AI models. This full‑time, on‑site internship offers hands‑on experience working with the founding team across ML, sensing, data, software, and product.

You will design, build, and validate simulation and generative modeling pipelines for real‑world time‑series data, iterate rapidly, and collaborate with hardware and ML teams to integrate your

Qualifications

  • Strong foundation in deep learning, including experience with generative models and/or PINNs.
  • Comfort working with real‑world time‑series data, noisy signals, ambiguous requirements, and fast iteration cycles.
  • Experience with PyTorch or similar machine learning frameworks.
  • Experience with multiphysics simulation (i.e., COMSOL) is strongly preferred.
  • Ability to move quickly from prototype to working systems while maintaining engineering rigor.
  • Ownership mindset, practical problem‑solving ability, and comfort working in an early‑stage startup.
  • Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Applied Physics, Machine Learning, or a related field. Exceptional undergraduate candidates with strong relevant experience will also be considered.
  • Publications in venues such as NeurIPS, ICML, ICLR, or related venues are a plus, but not required.

Responsibilities

  • Design, build, and validate simulation and generative modeling pipelines for real‑world time‑series data.
  • Rapidly iterate on approaches based on experimental results and product needs.
  • Collaborate with hardware, sensing, and ML teams to integrate your work into training and evaluation pipelines.

Job description

We are looking for a Machine Learning Engineering Intern in NYC with a background in generative modeling to help build the next generation of AI models. This internship is ideal for someone who enjoys turning early technical ideas into robust AI systems and wants hands‑on experience helping build a core technology platform from the ground up. You will work directly with the founding team across machine learning, sensing, data, software, and product. This is a full‑time, on‑site internship in New York City.

The Focus

Develop generative models that improve how machine learning models are trained and evaluated on real‑world sensing data.

What You Will Do
  • Design, build, and validate simulation and generative modeling pipelines for real‑world time‑series data.
  • Rapidly iterate on approaches based on experimental results and product needs.
  • Collaborate with hardware, sensing, and ML teams to integrate your work into training and evaluation pipelines.
What We Are Looking For
  • Strong foundation in deep learning, including experience with generative models and/or PINNs.
  • Comfort working with real‑world time‑series data, noisy signals, ambiguous requirements, and fast iteration cycles.
  • Experience with PyTorch or similar machine learning frameworks.
  • Experience with multiphysics simulation (i.e., COMSOL) is strongly preferred.
  • Ability to move quickly from prototype to working systems while maintaining engineering rigor.
  • Ownership mindset, practical problem‑solving ability, and comfort working in an early‑stage startup.
  • Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Applied Physics, Machine Learning, or a related field. Exceptional undergraduate candidates with strong relevant experience will also be considered.
  • Publications in venues such as NeurIPS, ICML, ICLR, or related venues are a plus, but not required.
The Perks

Direct collaboration with the founding team, competitive hourly pay, top‑tier VC backing, and a rare opportunity to help build a "Zero to One" technology company at the intersection of AI, wearables, and real‑world human behavior understanding. Exceptional interns may be considered for full‑time roles.

Hourly rate: $45–$60/hour.

Location: In‑person, New York City

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Machine Learning Engineer - Generative Modeling
Machine Learning Engineer - Generative Modeling

BehaviorAI • New York (NY)

On-site
USD 160,000 - 200,000
Equity
Competitive pay
VC backing
Generative ML Engineer Intern – NYC (On-site)
Generative ML Engineer Intern – NYC (On-site)

BehaviorAI • New York (NY)

On-site
USD 62,000 - 83,000
Founding team collaboration
Competitive hourly pay
VC backing
Machine Learning Engineer - Representation Learning
Machine Learning Engineer - Representation Learning

BehaviorAI • New York (NY)

On-site
USD 160,000 - 200,000
Equity
Comprehensive benefits
Competitive salary
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Spectraforce Technologies • Newark (NJ)

Hybrid
USD 150,000 - 190,000
Senior Machine Learning Engineer
Senior Machine Learning Engineer

CyberCoders • Pittsburgh

On-site
USD 140,000 - 190,000
Vacation/PTO
Medical
Dental
+3
Machine Learning Engineer Intern at Upstart
Machine Learning Engineer Intern at Upstart

Feedinkoo: Remote Jobs • United States

Remote
USD 141,000 - 150,000
Medical, dental, vision
401k
Equity compensation
+1
2027 Summer Intern - Machine Learning Engineer, AV/AI Platform
2027 Summer Intern - Machine Learning Engineer, AV/AI Platform

General Motors • Sunnyvale (CA)

On-site
USD 90,000 - 132,000
Generative ML Engineer - Time-Series & Simulation, NYC
Generative ML Engineer - Time-Series & Simulation, NYC

BehaviorAI • New York (NY)

On-site
USD 160,000 - 200,000
Equity
Competitive pay
VC backing
Machine Learning Engineer, Applied AI Intern (Summer 2027)
Machine Learning Engineer, Applied AI Intern (Summer 2027)

Brain Co. • San Francisco (CA)

On-site
USD 34,000 - 55,000
Mentorship from AI engineers
Hands-on production systems
Competitive internship compensation
+2
Machine Learning Engineer
Machine Learning Engineer

Wintermeyer Ventures • Los Angeles (CA)

On-site
USD 175,000 - 250,000
Visa sponsorship available