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Top Remote Python Jobs in Boston, MA
The Developer Platform - Data Products team at Reddit is seeking a Senior Software Engineer to work on large scale batch and streaming data challenges. Responsibilities include refining and maintaining data infrastructure technologies, designing end-to-end data solutions, and implementing automation for key development processes. The ideal candidate has 4+ years of coding experience, proficiency in programming languages like Scala, Go, Java, and Python, and experience with various tech tools and platforms. A degree in Computer Science or equivalent experience is required.
The Senior Full Stack Engineer will manage the Inbound Email Portal team focusing on developing and improving Messaging Security products. Responsibilities include owning deliverables, architecting systems, implementing features, resolving performance issues, and mentoring junior team members. Expect to contribute quickly and shape the team's roadmap.
The Technical Lead will analyze data needs, support system databases, and ensure system reliability while overseeing the technical implementation and mentoring developers. They are responsible for software development, user needs analysis, and designing software solutions to enhance operational efficiency.
The internship involves collaborating with the backend team to design, develop, and maintain backend systems, APIs, and data pipelines using Python and cloud infrastructure. Interns will also troubleshoot issues, participate in code reviews, and contribute to best practices.
The AI Engineer will develop and implement AI/ML solutions using Python and libraries such as Pandas and Tensorflow, while maintaining enterprise-level applications with C#. The role involves ensuring the smooth operation of AI/ML projects and requires proficiency in OOP and Git.
The AI Engineer will develop and implement AI/ML solutions using Python and related libraries while maintaining enterprise-level applications in C#. Responsibilities include ensuring project functionality and managing the development process in a collaborative team environment.
As an AI Engineer, you will develop and implement AI/ML solutions, maintain project operations, and create enterprise-level applications primarily using Python and C#. You will also utilize various AI/ML libraries, ensure project functionality, and possibly employ RPA tools.
The Principal Architect, Data will lead technical project delivery while mentoring engineering teams, develop technology solutions based on client needs, and manage project timelines and stakeholder expectations, specifically focusing on data systems and Google Cloud technologies.
The Senior ML Researcher will lead the research and development of machine learning models, architect methodologies for training and fine-tuning, evaluate model performance, and mentor team members. The role emphasizes collaboration with product teams and staying updated on ML advancements to drive innovations in model architecture and optimization.
As a Senior Machine Learning Engineer, you will develop and optimize machine learning systems, focusing on model training, pipeline development, and fine-tuning large language models to meet business needs. You will work collaboratively with product teams, mentor junior staff, and keep abreast of advancements in the field to enhance the company's ML offerings.
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The Senior Storage Engineer is responsible for ensuring stability and efficiency of SAN arrays and data fabrics, managing workloads, supporting SAN installations and upgrades, and leading troubleshooting efforts for storage issues. They contribute to the modernization of storage infrastructure and collaborate with cross-functional teams to improve operational readiness.
The Business Systems Analyst will support API integrations, document bugs, develop requirements, conduct business process analysis, and lead collaboration with stakeholders, while also mentoring junior analysts and participating in product development processes.
The Business Systems Analyst will work with internal and external stakeholders to define business needs, collaborate with software developers to design solutions, and lead product development for the Iris software platform. Responsibilities include preparing functional specifications, analyzing processes for improvements, managing user stories and communicating project statuses.
The Staff Machine Learning Engineer will develop and maintain ML-driven products, focusing on fine-tuning LLMs, deploying models on GPUs, and addressing product-related ML challenges in a dynamic environment. Responsibilities include building training pipelines, managing customer issues, and integrating advancements in generative AI.
The Senior Machine Learning Engineer will build and maintain training pipelines for fine-tuning LLMs, serve and deploy models on GPUs, and formulate solutions to novel product issues. The role involves addressing customer issues related to ML performance and keeping abreast of developments in generative AI.
As a Machine Learning Engineer III at Wizard, you will build and maintain training pipelines for fine-tuning LLMs, serve and deploy models on GPUs, and address product issues with innovative ML solutions. You'll also communicate complex architectures to stakeholders and keep current with generative AI advancements.
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