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Trainee Computer Science Neuroscience Jobs (NOW HIRING)

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

Quantiply Corporation

Data Scientist

San Jose, CA

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

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How much do trainee computer science neuroscience jobs pay per year?

As of Jun 24, 2026, the average yearly pay for trainee computer science neuroscience in the United States is $43,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $51,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Trainee Computer Science Neuroscience jobs? Cities with the most Trainee Computer Science Neuroscience job openings:
What are the most commonly searched types of Computer Science Neuroscience jobs? The most popular types of Computer Science Neuroscience jobs are:
What states have the most Trainee Computer Science Neuroscience jobs? States with the most job openings for Trainee Computer Science Neuroscience jobs include:
Trainee Computer Science Neuroscience jobs near you
Infographic showing various Trainee Computer Science Neuroscience job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 7% Full Time, 83% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $43,530 per year, or $20.9 per hour.
Data Scientist

Data Scientist

Quantiply Corporation

San Jose, CA • On-site

Full-time

Posted 10 days ago

Job description

Company Description
Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.
Job Description
In this role, you will be part of a brand new, trend setting Cognitive Intelligence team which is applying Machine learning and AI to solve complex, business critical problems in the financial services industries.
This position within the Cognitive Intelligence team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product, and business. As a real-time transactional intelligence service, our solutions have to be scalable, secure, efficient, and extremely fault-tolerant.
A successful candidate will bring: deep technical and software expertise; ability to define visionary, ground breaking products; desire to have an industry-wide impact; and an ability to work within a fast moving, startup environment to rapidly deliver services that drive broad business impact.
Responsibilities:
  • Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models.
  • Present exploratory findings to both, technical and management teams, verbally and in writing.
  • Partner with Product and Engineering teams to explore new opportunities.
  • Engage in collaborating across team members to meet research and product goals.
  • Influence product features and product roadmap through exploratory analysis.

Qualifications
Minimum qualifications:
  • PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field.
  • Strong knowledge of mathematics.
  • Strong knowledge of machine learning and statistics.
  • Strong knowledge of designing algorithms.
  • Some experience in Python and Tensorflow.

Preferred qualifications:
  • Strong knowledge of deep learning.
  • Strong knowledge of reinforcement learning.
  • Strong experience in Tensorflow or similar frameworks.
  • Working experience in C++.

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply