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Software Engineer - Machine Learning

San Jose, CA, United States

Pay
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Employment
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Apply at Quantiply Corporation

What you’ll work on

Full posting
  • Develop highly scalable deep learning, reinforcement learning and bayesian models.

  • Support research projects by providing innovative designs for end-to-end Machine Learning systems.

  • Optimize performance of complex machine learning systems.

From the employer’s posting
Responsibilities: Develop highly scalable deep learning, reinforcement learning and bayesian models. Support research projects by providing innovative designs for end-to-end Machine Learning systems.
Develop highly scalable deep learning, reinforcement learning and bayesian models. Support research projects by providing innovative designs for end-to-end Machine Learning systems. Optimize performance of complex machine learning systems. Exploit modern parallel environments.
Support research projects by providing innovative designs for end-to-end Machine Learning systems. Optimize performance of complex machine learning systems. Exploit modern parallel environments. Design and develop software libraries.

What you’ll bring

All qualifications

Core experience

  • Strong knowledge and experience in Python, Docker and Kubernetes.
  • Knowledge of machine learning and statistics.

Preferred experience

  • Strong experience in Tensorflow or similar frameworks.
  • Strong experience with concurrent and distributed software architecture.
  • Experience with C++/Java/Scala.
Qualification wording
Strong knowledge and experience in Python, Docker and Kubernetes.
Knowledge of machine learning and statistics.
Strong experience in Tensorflow or similar frameworks.
Strong experience with concurrent and distributed software architecture.
Experience with C++/Java/Scala.

Tools in this posting

  • Python
  • Docker
  • TensorFlow
  • Java
  • C++
  • Scala
  • Hadoop
  • Kubernetes
Source — Tool mentions in context
- PhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience. - Strong knowledge and experience in Python, Docker and Kubernetes. - Working experience in Tensorflow.
- Strong knowledge and experience in Python, Docker and Kubernetes. - Working experience in Tensorflow. - Working experience with distributed software architecture.
Preferred qualifications: - Strong experience in Tensorflow or similar frameworks. - Strong experience with concurrent and distributed software architecture.
- Experience with Hadoop. - Experience with C++/Java/Scala. Additional Information
- Strong experience with concurrent and distributed software architecture. - Experience with Hadoop. - Experience with C++/Java/Scala.

Job description

View original posting ↗

Job Description

We’re looking for software engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply’s growth in the Anti-Money Laundering space.

Ideal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of high-performance computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.

Responsibilities:

  • Develop highly scalable deep learning, reinforcement learning and bayesian models.
  • Support research projects by providing innovative designs for end-to-end Machine Learning systems.
  • Optimize performance of complex machine learning systems. Exploit modern parallel environments.
  • Design and develop software libraries.
  • Partner with Product and Engineering teams to explore new opportunities.
  • Influence product features and product roadmap through exploratory analysis.
  • Report and present software developments verbally and in writing.

Qualifications

Minimum qualifications:

  • PhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience.
  • Strong knowledge and experience in Python, Docker and Kubernetes.
  • Working experience in Tensorflow.
  • Working experience with distributed software architecture.
  • Knowledge of machine learning and statistics.

Preferred qualifications:

  • Strong experience in Tensorflow or similar frameworks.
  • Strong experience with concurrent and distributed software architecture.
  • Experience with Hadoop.
  • Experience with C++/Java/Scala.

Additional Information

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

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

San Jose, CA, United States

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Status in our records
Active
First seen by us
Jul 3, 2026
Recorded sightings
19
Last seen by us
Oct 7, 2026
Employer says posted
Nov 26, 2018

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