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Causal Inference Machine Learning Postdoctoral Jobs in New Brunswick, NJ

Zocdoc

Director, Marketing Data Science

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You follow how the field is evolving (privacy changes, signal loss, new causal inference approaches ... Machine Learning, Artificial Intelligence, Economics, Physics, or a related field is required. A ...

Spotify

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving ...

Spotify

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

By leveraging data, machine learning, causal inference, and large scale online experimentation, we aim to uncover and learn the most effective strategies for enhancing user experiences and driving ...

Amazon

Applied Science Manager, Ads Measurement Science

New York, NY · On-site

$42K - $56K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with ... scientists or machine learning engineers management experience - 3+ years of building machine ...

CVS Health

Senior Machine Learning Engineer

New York, NY · On-site

$111K - $222K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... Strong background in one or more of the following: reinforcement learning, causal inference, LLM ...

Apple

Staff Data Scientist - Experimentation

New York, NY

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

... inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end ... Familiarity with causal machine learning tools and technologies. Well versed in observational ...

Apple

Staff Data Scientist - Experimentation

New York, NY

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

... inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end ... Familiarity with causal machine learning tools and technologies. Well versed in observational ...

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All JobsCausal Inference Machine Learning Postdoctoral JobsCausal Inference Machine Learning Postdoctoral Jobs in New Brunswick, NJ

Causal Inference Machine Learning Postdoctoral information

See New Brunswick, NJ salary details

$36.6K

$56K

$62.9K

How much do causal inference machine learning postdoctoral jobs pay per year?

As of Aug 12, 2026, the average yearly pay for causal inference machine learning postdoctoral in New Brunswick, NJ is $55,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $58,300.00 per year, depending on experience, location, and employer.

What is a causal inference machine learning postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a causal inference machine learning postdoctoral researcher?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by causal inference machine learning postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in New Brunswick, NJ? For Causal Inference Machine Learning Postdoctoral jobs in New Brunswick, NJ, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in New Brunswick, NJ look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in New Brunswick, NJ are:
What cities near New Brunswick, NJ are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities near New Brunswick, NJ with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in New Brunswick, NJ as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, 3% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $55,956 per year, or $26.9 per hour.

Senior Member of Research Staff, Voleon Securities

The Voleon Group

New York, NY • On-site

$275K - $300K/yr

Full-time

Re-posted 20 days ago

Job description

Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon's deep real-world experience applying ML to financial markets.
Voleon Securities is looking for creative, entrepreneurial researchers who enjoy grappling with very difficult problems. This is a chance to join the initial buildout of a fully modern securities business rooted in the frontier of AI/ML and statistics. We particularly welcome researchers with practical experience in optimal stochastic control, deep RL, deep learning, and causal inference. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.
As a Senior Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists, Voleon supports a culture of curiosity, collegiality, and creativity.
Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we've spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous.
Years of academic training has prepared you for this moment. You won't just conduct research, you'll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading.
Responsibilities
  • Develop a rich understanding of Voleon Securities' challenges and methodologies and propose research innovations and experiments to build, maintain, and optimize the models that govern our trading strategy
  • Prepare and analyze new datasets to assess their predictive efficacy
  • Develop, validate, and implement new models into production
  • Design and conduct experiments to improve simulations and evaluate the success of new models in a live trading environment
  • Build collaborative relationships cross-functionally and with key contacts outside your own area of expertise, with the potential to serve as an external spokesperson for Voleon Securities
  • Communicate and collaborate effectively with key stakeholders at each stage, facilitating meaningful discussions around complex issues and driving progress towards tangible outcomes
  • Mentor other researchers and provide technical guidance, coaching, and feedback
  • Keep up to date on the latest academic research to identify novel approaches to explore for application to trading and market prediction
  • Contribute to Voleon's efforts to recruit exceptional talent

Requirements
  • 5-10+ years of related experience directing key research projects and mentoring colleagues
  • Capability to run multiple projects simultaneously, exercising judgment in the methods, techniques, and evaluation criteria for determining results
  • Ability to make well-reasoned design decisions, identifying and proactively potential issues, tradeoffs, risks, and the appropriate level of abstraction
  • Proven success solving large-scale computing problems
  • Expertise modern statistical methods and machine learning with a track record as an applied researcher, preferably with experience in at least one of the following: optimal control, deep RL, deep learning, and causal inference
  • Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)
  • Strong skills in software development techniques and production level coding (Python and/or R preferred)
  • Effective at communicating complex technical issues simply and transparently, including writing insightful documentation
  • Ability to influence without requiring formal authority, with a proven track record of influence beyond your team
  • Interest in financial applications is essential, but prior finance industry experience is not a prerequisite
  • Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred

"Friends of Voleon" Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
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About Voleon Group

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

11 - 50 Employees

Headquarters location

Berkeley, CA, US

Year founded

2007

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