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Hybrid Software Engineer II - Machine Learning Software Engineer II - Machine Learning with verification

Entrust  ·  nan, · Hybrid

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About the job

Career Growth, Flexibility and Collaboration!Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. Headquartered in Minnesota, we offer our colleagues the ability to work globally, in a flexible and collaborative environment. Our team makes an impact!!The Company: Entrust relies on curious, dedicated and innovative individuals whom anticipate the future and provide solutions for a more connected, mobile and secure world. Entrust’s technologies and expertise help government agencies, enterprises and financial institutions in more than 150 countries serve and safeguard citizens, employees and consumers.We Believe: Securing identities is most effective when we value all identities. We are committed to ensuring that, through diversity and inclusion, the many voices that make up our communities are heard. From unconscious bias training for managers to global affinity groups that create connections both within and across our enterprise, Entrust expects and encourages all individuals to accept and respect one another. And, of course, to be themselves.Position Overview:As Entrust tackles the problem of bringing identities online, this means taking on the challenges of bringing both Biometrics and ID Documents into the virtual world. The work you could come help us solve will involve:

  • Develop state-of-the-art machine learning-backed services for automated biometric verification, document classification and extraction, as well as fraud analysis.
  • Build automated pipelines capable of minimising the time and effort of bringing support to new models and capabilities.
  • Iterate over research projects to optimise them and deploy them to production.
  • Continuously improve monitoring and tracing to provide a highly available service for our customers.
We deeply value trust and ownership. Our engineers, product managers and designers work together closely to solve a challenging problem - identity in an online world - and build products that are polished and impactful.What You Will Do:
  • Work in a cross-functional team to design, build, test and ship fraud-catching products.
  • Work closely with researchers to take research developed ML models to production.
  • Use off-the-shelf machine learning solution to provide simple initial solutions for fraud detection.
  • Design and implement efficient pre-processing steps around digital images or video files
  • Extend existing ML pipeline to fit an increasing array of use cases
  • Analyze algorithmic performances and identify common issues and potential improvements.
  • Provide technical guidance, support and advice to other engineers at Entrust
Basic Qualifications:
  • Good knowledge and experience with Python
  • Familiarity with scientific libraries and frameworks such as Numpy, Tensorflow, Keras, Scikit Learn, OpenCV, ONNX
  • Interested in developing, deploying and monitoring production-facing machine learning systems
  • You're enthusiastic and technically curious about ML technologies
  • Capable with testing frameworks, such as PyTest
  • Experience with dependency management tools (e.g. Poetry)
Preferred Qualifications:
  • Knowledge of Docker and Kubernetes
  • Familiarity with various different image and video file formats
  • Understanding of Computer Vision and standard Machine Learning algorithms (like decision trees, neural networks, support vector machines, clustering,…)
Tech StackWe are technology agnostic at Entrust We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply.
  • Backend: mostly Python and Ruby at Entrust
  • Frontend: React and Typescript
  • ML: Tensorflow, Jupyter, Dask
  • Kubernetes and Docker for deployment
  • AWS for underlying infrastructure (Aurora, Redis, Dynamo, S3, SNS, SQS, CloudFront, API Gateway, etc.)
  • Gitlab for software lifecycle management.
The technologies we use most frequently in Machine Learning are Python (3.x), Git, gRPC, WANDB, async-io, Tensorflow (and tf-serving), ONNX, OpenCV, Docker and Kubernetes.About Entrust:Entrust keeps the world moving safely by enabling trusted identities, payments and data protection around the globe. Today more than ever, people demand seamless, secure experiences, whether they are crossing borders, making a purchase, or accessing corporate networks. With our unmatched breadth of digital security and credential issuance solutions, it’s no wonder the world’s most entrusted organizations trust us.For more information, visit https://www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTubeEntrust Corporation is an EOE/AA/Veteran/People with Disabilities employer.NO AGENCIES, NO RELOCATION#ENT123For US Roles, Or Where Applicable:Entrust is an EEO/AA/Disabled/Veterans EmployerFor Canadian Roles, Or Where Applicable:Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.If you would require an accommodation, contact [email protected].For US Roles, Or Where Applicable:Entrust is an EEO/AA/Disabled/Veterans EmployerFor Canadian Roles, Or Where Applicable:Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities. If you require an accommodation, contact [email protected].Recruiter:Neha [email protected]

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