AI SCORE 8.5

ML Research Scientist - Quantum Acceleration (Remote)

$120K–$150K/year

About the Role

We're hiring an ML Research Scientist - Quantum Acceleration to join our innovative team at Sygaldry Technologies. In this remote role, you will work at the intersection of quantum computing and generative AI, pushing the boundaries of what's possible in machine learning. As an ML Research Scientist, you'll contribute to groundbreaking research that aims to revolutionize the efficiency of generative models through quantum acceleration.

What You'll Work On

  • Advance state-of-the-art diffusion and score-based generative models.
  • Analyze computational bottlenecks in sampling, denoising, and likelihood estimation.
  • Develop and benchmark novel solver methods for diffusion ODEs/SDEs.
  • Identify mathematical structures in generative models amenable to quantum speedup.
  • Prototype hybrid workflows where quantum subroutines accelerate classical pipelines.
  • Translate research insights into scalable implementations.
  • Collaborate with quantum hardware teams to inform architecture requirements.
  • Build systems that make quantum-accelerated generation accessible to practitioners.

Requirements

  • Deep expertise in diffusion probabilistic models, score matching, or related generative methods.
  • Understanding of the mathematical foundations: SDEs, ODEs, Langevin dynamics, probability flow.
  • Experience with ML frameworks (PyTorch, JAX) and efficient inference implementation.
  • Ability to communicate complex ideas clearly across research communities.
  • Excitement to work on problems no one has solved before.

Nice to Have

  • Published research on diffusion models, score-based generation, or neural ODE/SDE methods.
  • Experience optimizing sampling efficiency (DDIM, DPM-Solver, consistency models, etc.).
  • Familiarity with numerical methods for differential equations.
  • Understanding of quantum algorithms and computational complexity.
  • Background in high-dimensional probability or stochastic processes.

What We Offer

  • Visa sponsorship for international candidates.
  • Competitive salary and meaningful equity.
  • Company-sponsored health coverage for you and your family.
  • Unlimited PTO to ensure you can recharge and come back ready to make an impact.
  • Opportunities to connect with your team through casual socials and company offsites.
Why This Job8.5 of 10

This remote ML Research Scientist position at Sygaldry Technologies offers a unique opportunity to work at the forefront of quantum acceleration in AI. With competitive compensation and a culture of curiosity, it's an exciting role for innovative thinkers.

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About Sygaldry Technologies

Explore Sygaldry Technologies careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Utilize advanced filters to refine your search, tailor your resume, and track your applications effortlessly. Stay informed with the latest company insights and industry news while finding your ideal position at Sygaldry Technologies. Your next career move starts here!

Industry
Tech
Location
Remote

Who Will Succeed Here

Strong foundation in machine learning algorithms and quantum computing principles, with hands-on experience using PyTorch and JAX for model development and experimentation.

Self-motivated with a proactive approach to remote collaboration, able to effectively manage time and deliver results independently while engaging with virtual teams.

Analytical mindset with a passion for exploring diffusion models and numerical methods, demonstrating a curiosity-driven approach to solving complex problems in quantum acceleration.

Learning Resources

Deep Learning with PyTorch: A 60 Minute Blitzguide

Career Path

ML Research Scientist - Quantum Acceleration(Now)Senior ML Research Scientist(2-4 years)Lead ML Engineer/Quantum Computing Specialist(4-6 years)

Market Overview

Market Size 2024
$30B
Annual Growth
38.5%
AI Adoption in ML
70%
Investment in Quantum Computing
+300%
Labour Demand for ML Scientists
+45%
Avg Salary for ML Research Scientist
$120K

Skills & Requirements

Required
Machine LearningQuantum ComputingPyTorch
Growing in Demand
Reinforcement LearningGraph Neural NetworksFederated Learning
Declining
Traditional Statistical MethodsSupport Vector Machines (SVM)

Domain Trends

Increased Investment in Quantum AI
Investment in Quantum AI technologies is projected to reach $13 billion by 2025, highlighting the growing intersection of quantum computing and machine learning.
Rise of Diffusion Models
Diffusion models are gaining traction, with adoption rates increasing by 25% in 2024, as they outperform traditional generative models in various applications.
Demand for Remote ML Roles
The demand for remote machine learning positions has surged by 55% since 2023, reflecting the shift towards flexible work environments in tech.

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