*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

Senior Data Scientist – Natural Language Processing and Document Automation

Fidelity Workplace Investing is seeking a Senior Data Scientist with experience in natural language processing, OCR, computer vision, information retrieval, question answering, machine learning, various deep learning related technologies, predictive and prescriptive analytics. 

This position will be based full time in Boston, MA or Durham, NC.

The Purpose of Your Role

This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to define and develop AI-based solutions.  Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise

The Skills You Bring

• PhD in Computer Science or other related STEM disciplines with research papers on natural language processing, OCR, computer vision, and information retrieval, OR Master’s Degree in Computer Science, Statistics, Data Science or similar technical disciplines with 5 years relevant professional experience
• Deep understanding of Machine Learning & Deep Learning algorithms
• Knowledge of most of following quantitative fields: Natural Language Processing, OCR, Computer Vision, Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Experience in Big Data, information retrieval, NLP, and questing answering technologies such as BERT/BART, GPT, SQuAD, Snorkel, TFIDF, OCR, computer vision, etc.
• Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

The Value You Deliver

• Guide data science and data engineering elements of AI projects
• Guide and perform data identification, collection and qualification activities
• Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions
• Develop best practices for data science, considering the full analytical lifecycle
• Develop guidelines for the evaluation of new analytical tools and platforms
• Implement new technologies in a production environment with product, IT, and data engineering teams
• Present reports and findings to senior level technical and non-technical audiences
   

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

*Interested students may contact Philip at CSAIL (pmarsena AT mit.edu) or John at Fidelity ( John.Stather AT fmr.com ) to apply*

Data Scientist – Natural Language Processing and Document Automation

Fidelity Workplace Investing is seeking Data Scientists with experience in natural language processing, information retrieval, question answering, OCR, computer vision, machine learning, various deep learning related technologies, predictive and prescriptive analytics. 

This position will be based full time in Boston, MA or Durham, NC.

The Purpose of Your Role

This individual will be working high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to define and develop AI-based solutions.  Candidate must be comfortable in a fast-paced, unpredictable and sometimes ambiguous environment working with current and emerging AI technologies. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.

The successful candidate will be capable of supporting projects across many areas with the highest degree of quality. They will have a proven record of assuring quality of data gathering and analysis, be a team player who thrives in a high performing work environment and acts with confidence to communicate to all levels of Workplace Investing and the Fidelity Enterprise

The Skills You Bring

• Master’s Degree in Computer Science or other related STEM disciplines with research experience on natural language processing, OCR, computer vision, OR Bachler Degree in Computer Science, Statistics, Data Science or other related STEM disciplines with 5 years relevant professional experience
• Deep understanding of Machine Learning & Deep Learning algorithms
• Familiarity with at least some of following quantitative fields: Natural Language Processing, OCR, Computer Vision, Information Retrieval, Machine Comprehension, Question Answering, Reinforcement Learning, Knowledge Graph, Causal Inference, and Design of Experiment
• A strong Python and SQL programmer with demonstrated proficiency in data extraction, data engineering, data analysis, machine learning, data modeling and pipeline automation. An ability to write object-oriented solutions and to package together and streamline existing models is preferred
• Experience in Big Data, information retrieval, NLP, OCR and questing answering technologies such as BERT/BART, GPT, SQuAD, Snorkel, TFIDF, etc.
• Knowledge of Deep Learning and related tools such as TensorFlow, Keras, MXNET, or H2O is preferred

The Value You Deliver

• Develop the models and elements of AI projects
• Develop best practices for data science, considering the full analytical lifecycle
• Develop guidelines for the evaluation of new analytical tools and platforms
• Implement new technologies in a production environment with product, IT, and data engineering teams
• Present reports and findings to senior level technical and non-technical audiences
   

How Your Work Impacts the Organization

As a data scientist in Fidelity Workplace Investments, you will contribute to advancing the analytics and data science capability for a variety of employee benefit products, and will take the organization to the next level.

Company Overview

At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com

Fidelity Investments is an equal opportunity employer.

Customer Financial Services (CFS) is looking for a talented researcher to join a new AI research team. The core focus of this team is to transform today’s business processes into AI-driven processes. This researcher will help accomplish this goal through collaboration with other researchers to develop and deploy cutting-edge ML algorithms across the organization.  
The team is currently working on computer vision for document scanning and deep learning for natural language processing and time series.

Key Responsibilities

-    Lead cutting-edge research in artificial intelligence and machine learning applications
-    Design and test new analytical methods with a creative blend of theory and practice
-    Develop and test new algorithms/functions to address core subject-matter requirements and customer engagements
-    Initiate and lead research programs spanning multiple areas of strategic importance, guiding and coordinating research staff responsible for specific areas
-    Interacts with business leaders to understand business strategy, conditions, and problem areas
-    Communicate and present research and findings in a precise manner to business leaders and executives
-    Influence decision making based on insight from research projects
-    Consult across all processes at Dell and recommend short-term and long-term solutions
-    Build a research portfolio for short-term and long-term expected business wins built on state-of-the-art and emerging technologies
-    Develop IP for Dell in the form of patents and submit publications to relevant conferences (such as CVPR, NeurIPS, ICCV, ECCV, ICML, ICLR, etc.)
-    Deliver results and presentations in a timely manner and handle projects with a long- term focus
-    Collaborate with groups from academic institutions and teams of business partners
-    Serve as subject-matter analytics expert in presentations to customers and larger audiences
-    Mentor and educate new data scientists with best practices and latest techniques

Requirements

-    CS, Statistics, Physics, Mathematics, Engineering (or related field) education
-    Master’s and PhD students are preferred, however those with Bachelor’s degrees and extensive research experience will be considered

-    Experience contributing to research communities and/or efforts, including publications at conferences and/or patents
-    Experience in experimental design across multiple domains of research
-    Must have exceptional communication skills as you would have to clearly articulate advanced concepts to a wide range of audiences
-    Demonstrated ability to deliver enterprise grade AI/Machine learning solutions for large scale environments
-    GPU programming experience
-    Passion to keep current on emerging technologies in the big data, data science, artificial intelligence and machine learning space
-    Experience with Python, R, Scala, C, C++
-    Ability to prioritize and manage work load on critical projects

Benefits
Our people are the most critical component of our long-term success:

-    Life at Dell means collaborating with dedicated professionals with a passion for technology
-    Our people demonstrate our winning culture through positive and meaningful relationships
-    We invest in our people and offer top notch training that can accelerate your career

Dell is a collective of customer-obsessed, industry-leading visionaries. At our core is a commitment to diversity, sustainability and our communities. We offer unparalleled growth and development opportunities for our team members. We believe that technology is essential for driving human progress, and we’re committed to providing that technology to people and organizations everywhere, so they can transform the way they work and live.
Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race,  religion or belief, national, social or ethnic origin, sex
(including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. 

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services 

Basic Qualifications:

• Bachelor’s degree 

• At least 4 years of experience in DevOps Engineering

• At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

• At least 2 years of Unix or Linux system administration experience

Preferred Qualifications:

• 2+ years of experience with Terraform or Ansible

• 2+ years of experience with container orchestration services including Docker or Kubernetes

• 2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 

• 2+ years of experience working with Agile Development Practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications: 

• Bachelor’s Degree 

• At least 4 years of experience in application development

• At least 1 year of experience in big data technologies 

Preferred Qualifications: 

• 5+ years of experience in application development including Python, SQL, Scala, or Java

• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

• 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

• 2+ year experience working on real-time data and streaming applications 

• 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 

• 2+ years of data warehousing experience (Redshift or Snowflake) 

• 3+ years of experience with UNIX/Linux including basic commands and shell scripting

• 2+ years of experience with Agile engineering practices 

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.  We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do: 

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that  help meet regulatory needs for the company

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 6 years of experience in software engineering

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• At least 2 years of people management experience

Preferred Qualifications:

• Master's Degree

• 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js

• 2+ years of experience with AWS, GCP, Azure, or another cloud service

• 4+ years of experience in open source frameworks

• 5+ years of people management experience

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Master Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that  help meet regulatory needs for the company

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 6 years of experience in software engineering

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master's Degree

• 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 4+ years of experience in open source frameworks

• 1+ years of people management experience

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree

• At least 4 years of experience in software engineering 

Preferred Qualifications:

• 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 3+ years of experience in open source frameworks

• 2+ years of experience in Agile practices

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. 

What You’ll Do: 

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community

• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services 

Basic Qualifications: 

• Bachelor’s Degree 

• At least 2 years of experience in software engineering 

Preferred Qualifications: 

• 3+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 2+ years of experience in open source frameworks

• 2+ years of experience in Agile practices

As a Capital One Machine Learning Engineer, you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. Working within an Agile environment, you’ll serve as a technical lead, providing input into machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. 

What you’ll do in the role: 

• Deliver ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams

• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment 

• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications

• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 

• Construct optimized data pipelines to feed ML models 

• Use programming languages like Python, Scala, or Java 

• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code 

Basic Qualifications :

• Bachelor’s degree. 

• At least 3 years of experience designing and building data-intensive solutions using distributed computing 

• At least 4 years of experience programming with Python, Scala, or Java

• At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) 

• At least 1 year of experience productionizing, monitoring, and maintaining models 

Preferred Qualifications:

• 1+ years of experience building, scaling, and optimizing ML systems

• 1+ years of experience with data gathering and preparation for ML models

• 2+ years of experience developing performant, resilient, and maintainable code

• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 

• 3+ years of experience with distributed file systems or multi-node database paradigms

• Contributed to open source ML software 

• Authored/co-authored a paper on a ML technique, model, or proof of concept

• 3+ years of experience building production-ready data pipelines that feed ML models 

• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance