Principal Software Engineer - Machine Learning

Company: Fidelity Investments
Location: Boston, Massachusetts, United States
Type: Full-time
Posted: 20.JUL.2021

Summary

Job Description:As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines. Contribute to building ad...

Description

Job Description:As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines. Contribute to building advanced analytics, machine learning platform and tools to enable both prediction and optimization model development. Extend existing ML Platform and frameworks for scaling model training & deployment. Partner closely with various business & engineering teams to drive the integration of our model outputs. This role is a critical element to delivering Fidelity's promise of crafting the best customer experiences in financial services!The TeamPI Data Engineering team (part of Personal Investing Technology BU) is passionate about delivery data and ML solutions for the organization. As part of this team, you will be responsible for building advanced analytics solutions demonstrating various cloud technologies and collaborating with Data Scientists to robustly scale up ML Models to large volumes in production.The Expertise You HaveHas Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.).7+ years of experience in implementing Big data solutions in data analytics space.2+ years of experience in developing ML infrastructure and MLOps in the Cloud (AWS preferred).Experience in Object Oriented Programming (Java, Scala, Python), Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (Cassandra, Elastic search, Graph database), API and in-memory technologies.Solid understanding of developing highly scalable distributed systems using Open-source technologies.Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (Airflow, Luigi, Kubeflow, or equivalent).Solid experience in Agile methodologies (Kanban and SCRUM).Cloud experience (AWS preferred).The Skills You BringStrong technical design and analysis skills.Ability to deal with ambiguity and work in fast paced environment.Experience supporting mission critical applications.Familiar with applied data science methods, feature engineering and machine learning algorithms.Data wrangling experience with structured and unstructured data.Experience building ML infrastructure, with an eye towards software engineering.Communication skills, both through written and verbal channels.Collaboration skills to work with multiple teams in the organization.Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.The Value You DeliverExamples of specific problems you'll help solve - build tools to help detect shifts in data/features used by ML models to help identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics. Designing & developing a feature generation & store framework that promotes sharing of data among different ML models, etc.Designing, Building and supporting mission critical applications to provide the best customer experienceExploring new technology trends and demonstrating them to simplify our data and ML ecosystemDriving Innovation and implementing solutions with future thinkingEffectively partner with applied Data Scientists and lay software foundations upon which models can be builtGuiding teams to improve development agility and productivityResolving technical roadblocks to the team and mitigating potential risksDelivering system automation by setting up continuous integration/continuous delivery pipelinesCertifications:Company Overview At Fidelity Investments, our customers are at the heart of everything we do. As a privately held company with a rich 75-year history, our mission has remained the same since our founding: to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money. Join Us At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning and growth so you can build the career you've always imagined. We welcome associates from different backgrounds and with different perspectives to help us innovate and make a difference for our customers and our communities. We invite you to Find Your Fidelity at fidelitycareers.com.Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Leave of Absence/Accommodation Team by sending an email to or by calling , prompt 2, option 2.

 
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