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Machine Learning Quantum Computing Jobs in Bound Brook, NJ

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 ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs.

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs.

Jane Street

Machine Learning Researcher

New York, NY · On-site

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs.

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Bound Brook, NJ

Machine Learning Quantum Computing information

See Bound Brook, NJ salary details

$27.2K

$45.4K

$93.8K

How much do machine learning quantum computing jobs pay per year?

As of Jul 12, 2026, the average yearly pay for machine learning quantum computing in Bound Brook, NJ is $45,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,600.00 and $49,000.00 per year, depending on experience, location, and employer.

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 cities near Bound Brook, NJ are hiring for Machine Learning Quantum Computing jobs? Cities near Bound Brook, NJ with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Quantitative Researcher - Machine Learning

Quantitative Researcher - Machine Learning

Point72

New York, NY • On-site

Full-time

Posted 5 days ago

Job description

JOB RESPONSIBILITIES:
A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.
Key responsibilities may include:
  • Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
  • Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
  • Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

DESIRABLE CANDIDATES:
  • Master's or PhD in machine learning, computer science, statistics, or related fields.
  • Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
  • Prior research experience utilizing machine learning over large, possibly noisy, data sets.
  • Strong analytical and quantitative skills, and a detail-oriented mindset.
  • Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
  • Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
  • Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
  • Commitment to the highest ethical standards.

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