Role Description As a Software Engineer on our Data Infrastructure team, you will contribute to scaling and advancing our entire data infrastructure. This includes: - Building data-related infrastructure and tooling. - Collaborating closely with various teams to facilitate and improve their usage of data. - Working with our team lead to design, scope, and deliver large scale projects within the team. - Collaborating closely with a diverse group of engineers to impact the team's productivity and successful delivery. - Defining the team's technical roadmap towards achieving strategic-level engineering goals. - Participating in mentorship and development of other engineers on the team. - Shaping our company's engineering culture. We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Qualifications - Computer Science / Engineering bachelor’s degree (or equivalent). - 3+ years of relevant software engineering experience. - Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale. - Experience working with large codebases and building modular, extensible, and maintainable software. - Expertise in a modern programming language, such as Python, Go, Java or C++. - Hands-on experience developing in a Linux/UNIX environment. - Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure. - Strong communication skills and a knack for explaining complex ideas with clarity and simplicity. Requirements - Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker). - Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena). - Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm). - Experience building data platforms with a developer experience lens — designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users. Benefits - Highly competitive compensation and benefits packages. - Technology talks by our experts. - A beautiful modern office. - Daily catered lunches. Company Description Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

Role Description Contribute to a team responsible for developing and supporting optimization and forecasting solutions for software used for inventory management, planning, and campaign delivery. - Apply mathematical programming, including linear and mixed integer programming and decomposition techniques. - Use machine learning techniques including tree-based models, linear and logistic regression, and time series models. - Use scikit-learn to create models. - Perform statistical modeling using techniques including linear and logistic regression, as well as clustering analysis. - Program using Python. - Manage code using Git. - Perform time series forecasting. - Manage relational databases and analyze data using SQL. - Perform distributed computing using Spark and TensorFlow. - Contribute to both software engineering and machine learning sides of projects. - Implement, refine, and validate machine learning algorithms for products and applications. - Develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring. - Train machine learning models, validate their accuracy, and deploy validated models into production. - Research, write, and edit documentation and technical requirements, including evaluation plans and technical manuals. - Create patents, including Application Programming Interfaces (APIs) and other intellectual property. - Test and evaluate solutions presented by various internal and external partners and vendors. - Complete case studies, testing, and reporting. - Design proof of concept solutions and contribute to studies to support future product or application development. - Collaborate with teams outside of immediate work group. - Represent the work team in providing solutions to technical issues associated with assigned projects. Position is eligible for 100% remote work. Qualifications - Master’s degree, or foreign equivalent, in Computer Science, any Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field. - One (1) year of experience using machine learning techniques including tree-based models, or linear and logistic regression. - Experience using scikit-learn or similar packages to create models. - Experience performing statistical modeling using techniques including either clustering algorithms, or linear and logistic regression. - Programming experience using Python. - Experience managing code using Git. - Six (6) months of experience performing time series forecasting. - Experience analyzing data using SQL. - Experience performing distributed computing using Spark, TensorFlow, or a similar framework. Requirements - Master’s degree, or foreign equivalent, in Computer Science, any Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field. - One (1) year of experience using machine learning techniques including tree-based models, or linear and logistic regression. - Experience using scikit-learn or similar packages to create models. - Experience performing statistical modeling using techniques including either clustering algorithms, or linear and logistic regression. - Programming experience using Python. - Experience managing code using Git. - Six (6) months of experience performing time series forecasting. - Experience analyzing data using SQL. - Experience performing distributed computing using Spark, TensorFlow, or a similar framework. Benefits We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the benefits summary on our careers site for more details.

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) Job Summary This job entails directing advanced machine learning projects for decision automation and pattern recognition. It includes setting goals, designing prototypes, and leading research. The role manages sophisticated solutions, authors critical documentation, and mentors engineers. High-level machine learning expertise and innovation capacity are essential. Job Description Responsibilities: - Leading the development of machine learning programs to identify patterns and automate decision-making processes - Setting technical objectives for machine learning assignments and overseeing their execution - Designing machine learning prototypes in collaboration with product teams and stakeholders - Conducting research and studies to inform product development and application of machine learning techniques - Implementing end-to-end machine learning solutions, including optimization technologies, and managing live deployments - Aggregating and analyzing data from multiple sources to discover patterns for feature engineering and model automation - Authoring technical documentation, including white papers and technical manuals, and contributing to intellectual property with patents and APIs - Evaluating machine learning solutions from internal and external partners, conducting case studies and reporting on outcomes - Collaborating with external teams and representing the work group in resolving technical challenges related to machine learning projects - Mentoring junior engineers in machine learning methodologies and leading by example in technical expertise and innovation - Consistent exercise of independent judgment and discretion in matters of significance. - Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. - Other duties and responsibilities as assigned. Employees at all levels are expected to: - Understand our Operating Principles; make them the guidelines for how you do your job. - Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. - Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. - Win as a team make big things happen by working together and being open to new ideas. - Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. - Drive results and growth. - Support a culture of inclusion in how you work and lead. - Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment. Skills: Customer Experience (CX); Machine Learning (ML); Agentic AI; Agentic Orchestration; Generative AI Agents Salary: National Pay Range: $117,098.24 USD-$274,449.00 USD Illinois Pay Range: $124,416.88 USD - $241,515.12 USD Colorado Pay Range: $131,735.52 USD - $252,493.08 USD Hawaii Pay Range: $153,691.44 USD - $230,537.16 USD Washington DC Pay Range: $168,328.72 USD - $252,493.08 USD Maryland Pay Range: $139,054.16 USD - $252,493.08 USD Minnesota Pay Range: $131,735.52 USD - $230,537.16 USD New York Pay Range: $139,054.16 USD - $274,449.00 USD Washington Pay Range: $131,735.52 USD - $263,471.04 USD New Jersey Pay Range: $146,372.80 USD - $263,471.04 USD Vermont Pay Range: $139,054.16 USD - $219,559.20 USD Massachusetts Pay Range: $146,372.80 USD - $263,471.04 USD California Pay Range: $131,735.52 USD - $243,954.66 Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 7-10 Years

• Design, build, and maintain complex, distributed systems for the full machine learning lifecycle (from ingestion to production monitoring); • Implement and evolve our MLOps architecture, including Feature Store concepts, Model Serving, and automated CI/CD pipelines; • Manage and apply cloud infrastructure for the team's projects using Infrastructure as Code (IaC) practices; • Develop internal tools and frameworks to optimize the team's workflows; • Ensure adoption of software engineering best practices (testing, clean code, sustainable architecture); • Collaborate with business areas (Product, Customer Success, and Sales/Marketing) to translate commercial needs into viable technical solutions.