Software Engineer - Machine Learning
San Jose, CA, United States
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop 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 qualificationsCore 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
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Jose, CA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- 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
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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