Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.

Drive the state of the art in scientific computing for life sciences as the Senior Machine Learning Engineer in the Bystro team. Bystro is a next generation tool for genetics, genomics, and other omics research. This individual will lead the development of large language to generate scientific computing code (for example, generating valid genome wide association analyses from a prompt) and improving search experience that augments an existing token and vector-based search engine. Additionally, they will be responsible for driving to development of novel, state of the art statistical models that use Bayesian priors in linear and non-linear generative, regression, and classification settings. We are a small-cross disciplinary team including members of the Wingo Lab, the Cutler Lab, a senior systems software engineer, senior systems administrator, and a frontend developer. Our current expertise spans disease-associations, statistical genetics, genomics, and "big data" analysis, as well as software engineering and systems architecture. The ideal candidate will test different approaches, learn from those experiences, and apply them to the overall goal of simplifying technical portions of analysis so that scientists can spend most of their time coming up with great questions rather than spending most of their time executing them.

JOB DESCRIPTION:

• Leads software projects. Works with other developers to architect and design the individual project as well as implement the critical components.
• Projects and applications may include Web and Grid services oriented systems; portal environments; client-server based applications; applications that manage, integrate, and analyze large scale databases; applications and middleware infrastructure that provide federated, secure access to multiple applications and databases; knowledge management and integration systems; and systems for high performance databases and analysis applications.
• Architects and implements interoperable middleware components, data models, and interfaces for integration of multiple software systems, applications, and databases.
• Develops and integrates software for secure and controlled access to application components and databases.
• Designs and implements graphical user interfaces for components of a software system and for applications.
• Performs related responsibilities as required.

MINIMUM QUALIFICATIONS:

• A bachelor's degree in Computer Science, Engineering or a related field and three years of software engineering or related experience.
• A master's degree in Computer Science or Engineering is preferred.
• Strong programming skills in Java, C++, object oriented-design, XML, SQL and database development.
• Experience with software engineering best practices such as software design patterns, requirements gathering, version control, automated testing, and configuration management is required.
• Experience with service oriented architectures, web services, Grid technologies, distributed computing strongly preferred.
• Strong leadership and communication skills.

PREFERRED QUALIFICATIONS:
• Expertise with Bayesian & frequentist approaches
• Expertise with generative models (e.g., Probabilistic PCA)
• Expertise with regression models
• Expertise with dimensionality reduction techniques (e.g., Variational Autoencoders)
• Expertise with optimization, especially in high dimensional contexts where estimating normalization constants is difficult (e.g., Annealed Importance Sampling, Variational Bayes)
• Expertise with non-linear models, especially for language/code generation (e.g., Transformers)
• Familiarity with Bayesian nonparametric (e.g., Dirichlet Processes)
• Formal training preferred, especially Ph.D., but it is not required.

NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University location as needed.  Emory reserves the right to change this status with notice to employee.

The COVID-19 vaccine or an approved exemption is currently only required for individuals working in a clinical setting. For more information on the University or Hospital policies, including exemptions, please see our website.

Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.

Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.