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Machine Learning Quantum Computing Jobs in New York

QCi

Director of Business Development

Hoboken, NJ · On-site

Chief Revenue Officer About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today.

QCi

FPGA Design Engineer

Hoboken, NJ · On-site

$134K - $185K/yr

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to ...

QCi

Mechanical Engineer

Hoboken, NJ · On-site

Manager, Product Design and Manufacturing About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines ...

New York University

Software Engineer

New York, NY · On-site

$100K - $250K/yr

Our group includes researchers from multiple scientific disciplines ranging from machine learning, to astrophysics, biology, neuroscience and quantum computing. The selected candidates will work ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ... Distributed computing frameworks (e.g., Spark, Dask) * Cloud platforms (e.g., AWS, Azure, GCP) and ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

... at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled ... computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

... at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled ... computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration ... Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies ...

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Machine Learning Quantum Computing information

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What are popular job titles related to Machine Learning Quantum Computing jobs in New York? For Machine Learning Quantum Computing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in New York look for? The top searched job categories for Machine Learning Quantum Computing jobs in New York are:
What cities in New York are hiring for Machine Learning Quantum Computing jobs? Cities in New York with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Retrosynthesis Researcher, Machine Learning

Retrosynthesis Researcher, Machine Learning

Schrodinger

New York, NY

$120K - $145K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Schrodinger seeks a Retrosynthesis Researcher in Machine Learning (ML) to join us in our mission to transform the discovery of therapeutics and materials.

Schrodinger has pioneered a physics-based software platform that enables discovery of high-quality, novel molecules for drug development and materials applications more rapidly and at lower cost compared to traditional methods. The software platform is used by biopharmaceutical and industrial companies, academic institutions, and government laboratories around the world. Our multidisciplinary drug discovery team also leverages the software platform to advance collaborative programs and its own pipeline of novel therapeutics to address unmet medical needs.

As a member of our Machine Learning team, you'll work at the forefront of computational chemistry and AI, contributing to high-impact research with real-world applications in small molecule drug discovery and materials science.
 
Who will love this job:
  • An ML expert who has applied AI tools to chemical reaction prediction or retrosynthesis (e.g., reaction templates, template-free approaches) and understands organic synthesis and reaction mechanisms
  • An experienced user of cheminformatics tools (e.g., RDKit, Open Babel)
  • A proficient Python programmer who's familiar with ML tools like Pytorch, Tensorflow, and JAX
  • An excellent problem-solver who's comfortable working collaboratively in a multidisciplinary research environment

What you'll do:

  • Develop and implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic pathway prediction
  • Apply deep learning techniques to predict reaction outcomes, optimize reaction conditions, and identify novel synthetic routes
  • Curate and manage reaction datasets from literature, patents, and proprietary sources to train and validate predictive models
  • Integrate retrosynthesis tools with cheminformatics platforms and molecular modeling software
  • Collaborate with synthetic chemists to experimentally validate predicted retrosynthetic routes and optimize laboratory workflows
  • Contribute to scholarly publications in high-impact journals and represent the research group in conferences and workshops

What you should have:

  • PhD in Chemistry, Computational Chemistry, Cheminformatics, or a related field
  • A solid publication record that demonstrates expertise in retrosynthesis algorithms and computational chemistry

We'd prefer to hire someone who has:

  • Familiarity with chemical reaction databases (e.g., Reaxys, USPTO, Pistachio)
  • Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN)
  • A background in graph-based learning, attention mechanisms, and transformer architectures applied to chemical data
  • Familiarity with reaction condition prediction and reaction yield optimization.
  • Experience with Schrodinger Suite and LiveDesign
  • Experience with de novo design and generative machine learning methods
  • Experience with cloud computing and/or high-performance computing (HPC) resources
  • Exposure to quantum chemistry (DFT) is a plus
 
Pay and perks:
Schrodinger understands it's people that make a company great. Because of this, we're prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have regular catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time.  Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrodinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces. 
 
Estimated base salary range: $120,000 - $145,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.
 
Sound exciting? Apply today and join us!
 
As an equal opportunity employer, Schrodinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.

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