\nThe Impact You’ll Be Contributing to Moloco:\n\nWe are an engineering company founded by engineers. We understand the value of a strong engineering team and strive to hire only the best engineering interns.\n\nWe are seeking exceptional Machine Learning interns to join us in building a state-of-the-art machine learning system. Moloco’s programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies. As an intern, you can expect to be a full member of the team you join and will be treated as a junior engineer, with the same expectations, project opportunities and responsibilities. Some examples of past intern projects are:\n\n\n* Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.\n\n* Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.\n\n* Building machine learning productivity tools (e.g. model quality measurement), deploy them in Kubernetes, and help model engineers adopt them.\n\n\n\n\nMinimum Qualifications:\n\n\n* Able and willing to work from our Redwood City, CA office.\n\n* Available to work during the summer of 2025 (May through September).\n\n* By the start of the internship, actively enrolled in a Bachelor's, Master’s or PhD program in Computer Science, or a related technical field, and returning back to the school program at the completion of the internship.\n\n* Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2026.\n\n\n\n\nPreferred Qualifications:\n\n\n* Strong background in data structures and algorithms.\n\n* Strong coding and problem solving skills.\n\n* Familiar with distributed systems and/or databases\n\n* Fluent with at least one programming language\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Junior and Engineer jobs that are similar:\n\n $30,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWe currently seeking a Senior Data Engineer with 5-7 years’ experience. The ideal candidate would have the ability to work independently within an AGILE working environment and have experience working with cloud infrastructure leveraging tools such as Apache Airflow, Databricks, DBT and Snowflake. A familiarity with real-time data processing and AI implementation is advantageous.  \n\n\n\nResponsibilities:\n* Design, build, and maintain scalable and robust data pipelines to support analytics and machine learning models, ensuring high data quality and reliability for both batch & real-time use cases.\n* Design, maintain, optimize data models and data structures in tooling such as Snowflake and Databricks. \n* Leverage Databricks for big data processing, ensuring efficient management of Spark jobs and seamless integration with other data services.\n* Utilize PySpark and/or Ray to build and scale distributed computing tasks, enhancing the performance of machine learning model training and inference processes.\n* Monitor, troubleshoot, and resolve issues within data pipelines and infrastructure, implementing best practices for data engineering and continuous improvement.\n* Diagrammatically document data engineering workflows. \n* Collaborate with other Data Engineers, Product Owners, Software Developers and Machine Learning Engineers to implement new product features by understanding their needs and delivery timeously. \n\n\n\nQualifications:\n* Minimum of 3 years experience deploying enterprise level scalable data engineering solutions.\n* Strong examples of independently developed data pipelines end-to-end, from problem formulation, raw data, to implementation, optimization, and result.\n* Proven track record of building and managing scalable cloud-based infrastructure on AWS (incl. S3, Dynamo DB, EMR). \n* Proven track record of implementing and managing of AI model lifecycle in a production environment.\n* Experience using Apache Airflow (or equivalent) , Snowflake, Lucene-based search engines.\n* Experience with Databricks (Delta format, Unity Catalog).\n* Advanced SQL and Python knowledge with associated coding experience.\n* Strong Experience with DevOps practices for continuous integration and continuous delivery (CI/CD).\n* Experience wrangling structured & unstructured file formats (Parquet, CSV, JSON).\n* Understanding and implementation of best practices within ETL end ELT processes.\n* Data Quality best practice implementation using Great Expectations.\n* Real-time data processing experience using Apache Kafka Experience (or equivalent) will be advantageous.\n* Work independently with minimal supervision.\n* Takes initiative and is action-focused.\n* Mentor and share knowledge with junior team members.\n* Collaborative with a strong ability to work in cross-functional teams.\n* Excellent communication skills with the ability to communicate with stakeholders across varying interest groups.\n* Fluency in spoken and written English.\n\n\n\n\n\n#LI-RT9\n\n\nEdelman Data & Intelligence (DXI) is a global, multidisciplinary research, analytics and data consultancy with a distinctly human mission.\n\n\nWe use data and intelligence to help businesses and organizations build trusting relationships with people: making communications more authentic, engagement more exciting and connections more meaningful.\n\n\nDXI brings together and integrates the necessary people-based PR, communications, social, research and exogenous data, as well as the technology infrastructure to create, collect, store and manage first-party data and identity resolution. DXI is comprised of over 350 research specialists, business scientists, data engineers, behavioral and machine-learning experts, and data strategy consultants based in 15 markets around the world.\n\n\nTo learn more, visit: https://www.edelmandxi.com \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nThe Impact You’ll Be Contributing to Moloco:\n\nWe are an engineering company founded by engineers. We understand the value of a strong engineering team and strive to hire only the best engineering interns.\n\nWe are seeking exceptional Machine Learning interns to join us in building a state-of-the-art machine learning system. Moloco’s programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies. As an intern, you can expect to be a full member of the team you join and will be treated as a junior engineer, with the same expectations, project opportunities and responsibilities. Some examples of past intern projects are:\n\n\n* Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.\n\n* Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.\n\n* Building machine learning productivity tools (e.g. model quality measurement), deploy them in Kubernetes, and help model engineers adopt them.\n\n\n\n\nMinimum Qualifications:\n\n\n* Able and willing to work from our Seattle, WA or Redwood City, CA office.\n\n* Currently enrolled in, or recently graduated from (within the last 12-months), a Bachelor's, Master’s or PhD program in Computer Science, or a related technical field.\n\n* Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining degree by June of 2025.\n\n\n\n\nPreferred Qualifications:\n\n\n* Strong background in data structures and algorithms.\n\n* Strong coding and problem solving skills.\n\n* Familiar with distributed systems and/or databases.\n\n* Fluent with at least one programming language.\n\n\n\n\nInternships are full-time (40-hours per week) and 12-weeks in duration during the summer, between May and September 2024. Interns are expected to work in office each working day for the first two weeks, and three days per week for the remainder of the internship. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud and Engineer jobs that are similar:\n\n $57,500 — $95,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nWho We Are:\n\nSmithRx is a rapidly growing, venture-backed Health-Tech company.  Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service.  With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.\n\nWe pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:\n\n\n* Integrity: Do the right thing. Especially when it’s hard.\n\n* Courage: Embrace the challenge.\n\n* Together: Build bridges and lift up your colleagues.\n\n\n\n\nJob Summary:\n\nSmithRx is innovating in Pharmacy Benefits Management (PBM) with a next-gen platform, transforming how businesses manage pharmacy benefits. Our advanced technology offers real-time insights for cost efficiency, improved clinical services, and an enhanced customer experience. As part of SmithRx's product & engineering organization, the data engineering team is committed to creating a scalable and reliable data ecosystem, a vital foundation for delivering excellent service and operational superiority to our customers.\n\nWe are currently seeking a highly motivated Senior Data Engineer to join our fast-paced data team. The ideal candidate will work closely with cross-functional teams to develop scalable data pipelines, optimize data workflows, and ensure data quality and reliability. This should also include a strong background in data engineering, with expertise in data modeling, ETL processes, and cloud technologies.\n\nWhat you will do:\n\n\n* Design and implement scalable data models in enterprise data warehouse to support the company's analytical and reporting needs.\n\n* Develop and optimize ETL processes to ingest, transform, and load data from various sources into a data warehouse.\n\n* Collaborate with internal stakeholders, including Data Analytics team, to understand data requirements and translate them into technical solutions.\n\n* Build and maintain data warehouses, data lakes, and other data storage solutions to store and manage large volumes of structured and unstructured data.\n\n* Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance.\n\n* Monitor and optimize ETL jobs, database performance and data warehouse queries.\n\n* Document data engineering processes, data models, and design for knowledge sharing and reference.\n\n* Mentor junior data engineers and provide technical guidance and support to team members.\n\n\n\n\nWhat you will bring to SmithRx:\n\n\n* Bachelor's degree above in Computer Science, Information Technology, or a related field.\n\n* 5+ years of related experience in data engineering, software engineering, including proven experience as a Data Engineer with expertise in data warehouse technologies.\n\n* Strong programming skills, particularly in languages such as Python, Java. Proficiency in SQL, PySpark.\n\n* Strong programming skills, particularly in languages such as Python, Java. Proficiency in SQL, PySpark\n\n* Solid understanding of data modeling concepts and database design principles.\n\n* Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, DBT, Looker)\n\n* Strong problem-solving abilities and attention to detail.\n\n* Excellent communication and collaboration skills.\n\n* Positivity; non-dogmatic, team-first attitude\n\n* Flexibility; someone who is responsive and comfortable with ambiguity\n\n* Start-up or healthcare experience is highly desirable\n\n\n\n\nWhat SmithRx Offers You: \n\n\n* Total Rewards package that includes incentive bonus and stock options\n\n* Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance\n\n* Flexible Spending Benefits \n\n* 401(k) Retirement Savings Program \n\n* Short-term and long-term disability\n\n* Discretionary Paid Time Off \n\n* 12 Paid Holidays\n\n* Wellness Benefits\n\n* Commuter Benefits \n\n* Paid Parental Leave benefits\n\n* Employee Assistance Program (EAP)\n\n* Well-stocked kitchen in office locations\n\n* Professional development and training opportunities\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Senior and Engineer jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States