Sr. Software Engineer - AI/ML (Remote)
NC, US
Join us on our mission to create a completely new, 100% digital bank that truly serves customers' best interests. We are a close-knit and fun-loving team of seasoned financial services professionals who came together for the challenge of building a bank from scratch - and we are committed to doing it all the right way (from technology infrastructure to modern marketing to customer experience).
The anticipated salary range for this role is between $85,000.00 and $170,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.
We work with the flexibility and speed of a start-up. But we also have significant stability and capital from being part of the SMBC Group (Sumitomo Mitsui Banking Corporation). SMBC is the second largest bank in Japan and the 12th largest bank in the world with operations in over forty countries. And SMBC is committed to disrupting the US marketplace with ground-breaking products.
It is the best of both worlds, and we are seeking proven marketing leaders to propel us towards a national launch. We have both the ambitious growth plans and the 'patient capital' necessary to execute a multi-year plan. Join us on the journey to deliver an exciting concept of evolved banking.
JOB SUMMARY:
Jenius Software Engineers are developing the next-generation technologies for the bank of the future. Our financial products will need to handle data information at scale with aspirations of being the bank of the future. As a Sr. Software Engineer – Machine Learning, you will work on Jenius’ needs to enable AI/ML capabilities for every domain bank operates with. We need our Engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the AI/ML stack as we continue to push technology forward.
PRINCIPAL DUTIES & RESPONSIBILTIES:
- Implement AI/ML Practices
- Enable and implement ML Operations and ML Lifecycle best practices.
- Work with Cross functional teams on ML/AI Use cases.
- Perform ML /AI engineering activities, working in collaboration with the Product and Data teams.
- Implement ML infrastructure solutions.
- Solve complex problems by writing and testing application code, developing and validating ML models, and automating test and deployment.
- Collaborate as part of cross-functional Agile Team
- Prepare and deliver optimized data pipelines.
- Understand and implement GenAI use cases.
- Use programming languages such as Python, R, Scala or Java
- Leverage continuous integration and deployment best practices, including test automation and monitoring.
POSITION SPECIFICATIONS:
- Bachelor's degree or equivalent practical experience.
- 5+ years of experience in software development, and with data structures/algorithms.
- GCP, Data, Vertex AI, MLOps, LLMOps, Gen AI, Predictive Modeling, Python, Docker
- 3+ years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing, GCP and Azure GenAI and ML products knowledge
- 3+ years of experience with design and architecture; and testing/launching software products.
- Knowledge of MLOps and Machine Learning Life Cycle, integration, and implementation of phases of Machine Learning
- Understanding and knowledge of Google AI/ML portfolio including Vertex AI, BQML, Gen AI and Duet AI
Preferred Qualifications:
- Bachelor’s degree in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.
EOE STATEMENT
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.
CCPA DISCLOSURE
Personal Information Collection Notice: This notice contains information under the California Consumer Privacy Act (CCPA) about the categories of personal information (PI) of California residents that SMBC MANUBANK collects and the business or commercial purpose(s) for which the PI may be used. We do not sell PI. More information about our collection and use of PI may be found in our CCPA Privacy Policy at https://www.smbcmanubank.com/privacy/ccpa-disclosure. Persons with disabilities may contact our Customer Contact Center toll-free at (877) 560-9812 to request the information in this Notice in an alternative format.
Job Profile
Annual discretionary incentive award Competitive benefits portfolio Competitive portfolio of benefits Flexibility Flexible work environment Stability
Tasks- Automate testing and deployment
- Collaborate with cross functional teams
- Develop and validate ML models
- Implement AI/ML practices
- Prepare optimized data pipelines
Agile AI Algorithms Analysis Automation Azure Banking Collaboration Customer Experience Data Structures Deep Learning Docker Financial Services GCP Gen AI Java LLMOps Machine Learning Marketing ML MLOps Monitoring Natural Language Processing Operations Predictive Modeling Python R Scala TensorFlow
Experience5 years
EducationBachelor's degree Computer Science Engineering Equivalent Technical field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9