Full-Stack Web Developer and Machine Learning Engineer_

Our Environmental Science Division (EVS) division is looking for a Full-Stack Web Developer and Machine Learning Engineer to join their team for a temporary appointment.This software engineering position will help design, develop, and maintain web portals for the division. This position will also help advance the utilization of machine learning (ML) to enhance system capabilities and user engagement. These portals serve as tools for students, researchers, and policy makers to access, query, visualize, and model environmental data and processes.In this role you can expect to:+ Design, develop, and implement user-friendly web portals for a variety of audiences and stakeholders+ Create and utilize data visualization tools present data in a meaningful way+ Implement and integrate with back-end functionality and workflows, potentially utilizing large-scale computing and storage systems+ Enhance and integrate machine learning models and algorithms+ Ensure the security, scalability, and performance of portals+ Conduct testing and debugging to ensure correct functionality and system reliability+ Stay up to date with the latest web development and machine learning trends and technologies+ Document development processes, procedures, and user guides+ Provide training and support to researchers on using the portals effectively**Position Requirements**Required knowledge, skills, and experience:+ A foundation in computer science, computational/data science, or a related field+ Experience with front-end web development with JavaScript, HTML5, CSS3, and related frameworks such as React+ Experience with data visualization frameworks such as D3.js+ Experience with backend development using Elixir, Python, Ruby, or similar technologies+ Experience with ML models, training, and workflows+ Experience developing on Linux+ Experience with database systems such as PostgreSQL, MySQL, or SQL Server+ Familiarity with RESTful APIs and service-oriented architectures+ Knowledge and experience with revision control systems, build tools, and issue tracking+ Strong analytical and problem-solving skills+ Ability to think independently and innovatively+ Effective verbal and written communication skills+ Strong organizational skills and attention to detail+ Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamworkDesired knowledge, skills, and experience:+ Knowledge of Elixir/Erlang and related tools and libraries (Phoenix, LiveView, Nx, LiveBook, etc.)+ Knowledge of scientific computing tools and libraries (NumPy, SciPy, Jupyter, etc.)+ Experience with spatial data and Geographical Information Systems (GIS)+ Understanding of cybersecurity best practices for web applications+ Familiarity with high-performance computing platformsThis position can be hired at one of two levels; the selected candidate will be placed at the appropriate level (PT2 or PT3) dependent upon the depth and breadth of relevant knowledge and skills. The minimum requirements of the two levels are as follows:+ PT2: Bachelor’s and 2+ years of experience, or a master’s degree, or equivalent+ PT3: Bachelor’s and 4+ years of experience, or a master’s degree and 2+ years of experience, or equivalent**Job Family**Professional Technical (PT)**Job Profile**IT Multi-Functional 2**Worker Type**Long-Term (Fixed Term)**Time Type**Full time_As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.__Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.__All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._