Brilliant people, transforming the banking industry with the latest technology.

We are Growing!

We are looking for dreamers and doers to shape the future of Quantiply. Work with smart people and build products to help fight financial crime using the latest in Artificial Intelligence.

Personality

Our fun and quirky team makes Quantiply great. We would never want you to leave your personality at the door.

Life at Quantiply

We see collaboration, growth and great work in your future.

Product-market fit

Simply put, our products solve real problems and transform the industry.

Professional development

Team Quantiply is small yet mighty. This is a great place to learn, grow and participate first hand in something big working on AI and Deep Learning.

Sr. Software Engineer

Full-Time - San Jose, CA

We are looking for a passionate and driven Software Engineer to design, develop. and install software solutions that revolve around Artificial Intelligence(AI) and Machine Learning.

Job Description

The responsibilities of this position involve working with product managers, engineers, data scientists, solution architects, and designers to define requirements, implement solutions, and test system efficiency and functionality. The successful candidate should be able to work efficiently and effectively throughout the entire SDLC and engage with customers to ensure the solution is meeting defined goals. This position offers a unique opportunity to work with complex solutions that are leveraging AI and Machine Learning to make an immediate impact in the Financial Services industry.

Qualifications

  • Bachelors/Masters Degree in Computer Science or related field
  • 5+ years of software development experience or related professional experience
  • 2+ years of large scale distributed systems development
  • Expert in J2EE technologies including Spring Boot, Hibernate, JDBC
  • Experience with micro-service design and development
  • Experience managing teams with diverse skill sets and experiences
  • Strong communication skills are required
  • Comfortable working with customers for requirement optimization and validation
  • Knowledge of big data technologies like HDFS, Spark, Kafka
  • Strong experience with NoSQL technologies like Cassandra or MongoDB
  • Experience with relational databases like Oracle DB
  • Knowledge of graph databases in a big plus
  • Experience working with major machine learning packages, such as, Spark/ML and TensorFLow is a big plus
  • Experience working with offshore teams
Please submit your resume at hiring@quantiply.com

Solution Architect

Full-time - San Jose, CA

We are looking for a passionate and results driven Solution Architect to work with our sales teams and customers.

Job Description

We are looking for a passionate and results driven Solution Architect to work with our sales teams and customers to:

  • Facilitate outcome-focused dialog to understand and define a customer’s business requirements
  • Partner with customers to develop a vision for their future requirements and implementation
  • Make this vision come to life by configuring and demonstrating the “art of the possible” on our platform
  • Configure our technology to build demonstrations that will show off the power of Quantiply’s AI platform for AML
  • You will be responsible for executing Proof of Value initiatives with clients and ensuring successful outcomes
  • Will have the opportunity to work with customers in the Financial Sector post sales to ensure successful product outcomes as well as improving processes, performance, and delivery

Qualifications

  • B. S. Computer Science, Software Engineering, MIS or equivalent
  • Strong communication, presentation, and demonstration skills are required
  • 4+ years experience working as a solution architect
  • Some domestic travel is required
  • Ability to work in a rapid growth environment and fanatical about customer’s success
  • Comfortable working with clients at all levels
  • Knowledge of Oracle and or SAP HANA
  • Software deployment experience on Docker, Kubernetes
  • Experience in Implementation / Configuration of distributed systems
  • Being fanatical about customer success
  • Java/ Javascript Programming experience
  • Some basic understanding about AI/ Machine Learning
Please submit your resume at hiring@quantiply.com

Data Science Engineer

Full-Time - San Jose, CA

We’re looking for data science engineers with experience in machine learning and artificial intelligence. In this position, you will be responsible for analyzing and optimizing key deep learning.

Job Description

In addition, responsibilities include working as part of a team that is collaborating on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply’s growth in this space. This includes both ensuring that leading DL/ML frameworks (e.g., TensorFlow) are taking full advantage of features in our products, as well as, impacting next generation products by driving technologies to ensure performance leadership on emerging DL/ML applications and use cases. 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 computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.

You are expected to maintain substantial knowledge of state-of-the-art principles and theories in the space of machine learning, performance optimization, and computer architecture in general. You may also participate in the development of intellectual property.

Qualifications

  • At least 2 years of industry experience in Machine Learning
  • At least 1 year experience in Big Data acquisition and enrichment
  • Experience in Scala, Java, C++, Python, GoLang or other equivalent languages commonly, as well as, one or more frameworks like SparkML, TensorFlow
  • Industry experience building and productionizing innovative end-to-end Machine Learning, text analytics, search, and entity graph systems
  • Excellent understanding of common families of models, feature engineering, feature selection, and other practical machine learning issues, such as overfitting
  • Excellent understanding of text analytics primitives and information extraction and integration techniques
  • Applicants must be completely comfortable with Spark, Spark Streaming, and Scala at a minimum
  • Experience with Hadoop, HBase, Cassandra, Kafka, and Solr is a plus
  • Experience with graph databases
  • Knowledge of ML pipeline frameworks, as well as, incremental model building and scoring, detection of model decay is a big plus
  • Experience with deep learning, SAP HANA, SAP Vora, and Predictive Analytics Libraries is a big plus
  • Experience with performance profiling, characterization, and optimization is also a big plus
Please submit your resume at hiring@quantiply.com

Principal Data Scientist

Full-Time - San Jose, CA

In this role, you will lead 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

Job Description

In the larger scope of the role, you will own the design, development, testing and deployment of these Machine Learning and AI services You will draw from your deep and broad technical expertise to mentor engineers, complete hands-on technical work, and provide leadership on complex technical issues. You will manage and be responsible for delivering some of our most strategic technical projects, delivering large scalable systems, designing new software systems at the cutting edge of distributed, machine-learning web-services technology, and have a significant, bottom-line impact on our business and competitive position.

As a manager of software development, you will be part of the larger technical leadership community that forms the backbone of the company, you will play a critical role in the broad business planning, working closely with senior executives, influence our long-term technical and business strategy, help hiring a talented team of engineers, and ultimately enable the engineering team to deliver innovative new solutions rapidly.

This position within the Machine Learning 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. A successful candidate will bring: deep technical and software expertise; strong business acumen and judgment; ability to define visionary, ground breaking products; ability to hire and lead a team; 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.

Qualifications

  • Master’s Degree in Computer Science, Engineering, Math or relevant. PhD is a big plus.
  • 5+ years software development experience
  • At least 2 years’ experience in an engineering management role
  • 2+ years distributed systems experience
  • 2+ years Machine Learning experience
  • Strong knowledge of the mathematical foundations of statistical inference and machine learning, such as, time series analysis, multivariate analysis, clustering, graph analytics, and optimization
  • Proficient programming and analytical skills in major machine learning packages, such as, Python, Spark/ML, and TensorFlow
  • Experience with Java/Scala is a big plus
Please submit your resume at hiring@quantiply.com

Solutions Engineer

Full-Time - San Jose, CA

We’re looking for data science engineers with experience in machine learning and artificial intelligence. In this position, you will be responsible for analyzing and optimizing key deep learning (DL) and machine learning (ML) algorithms and applications on current and next generation hardware, including GPUs.

Job Description

In addition, responsibilities include working as part of a team that is collaborating on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply’s growth in this space. This includes both ensuring that leading DL/ML frameworks (e.g., TensorFlow) are taking full advantage of features in our products, as well as, impacting next generation products by driving technologies to ensure performance leadership on emerging DL/ML applications and use cases. 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 computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.

You are expected to maintain substantial knowledge of state-of-the-art principles and theories in the space of machine learning, performance optimization, and computer architecture in general. You may also participate in the development of intellectual property.

Qualifications

  • Master’s Degree in Computer Science, Engineering, Math or relevant. PhD is a big plus.
  • 5+ years software development experience
  • At least 2 years’ experience in an engineering management role
  • 2+ years distributed systems experience
  • 2+ years Machine Learning experience
  • Strong knowledge of the mathematical foundations of statistical inference and machine learning, such as, time series analysis, multivariate analysis, clustering, graph analytics, and optimization
  • Proficient programming and analytical skills in major machine learning packages, such as, Python, Spark/ML, and TensorFlow
  • Experience with Java/Scala is a big plus
Please submit your resume at hiring@quantiply.com

Fighting Financial Crime with Artificial Intelligence

Mitigate risk against damage to reputation, client trust, market share, and reduce false positives by more than 50%