Remote Software engineering Jobs • Python

Build and ship high quality applications to optimize in store operations and decision making. Collaborate with your engineering teammates to support thousands of grocery stores critical fresh food supply chains across the US. Deliver great product experiences across the iPad, the web front-end, API, and data layers. Participate in and provide meaningful feedback about major design choices.

This role is central to driving the integration of advanced AI, including Generative AI, into our core platforms—enhancing decision-making, optimizing user workflows, and delivering intelligent, scalable product experiences. As a technical leader, you will architect and oversee AI solutions that span machine learning, natural language processing, and large-scale cloud infrastructure. Shaping product strategy, and leading with technical excellence, we invite you to shape the future of the energy sector with us.

The Motley Fool is seeking a Senior Python Developer to help develop APIs and microservices using Python-based frameworks. You will develop and enhance the microservices that power customer-facing investing data and tools - from real-time market data to cryptocurrencies. This is a contract role with a strong potential for a full-time salaried role down the line.

Applies knowledge of the technologies in Pathward’s technical stack to develop solutions and is responsible for working as part of a team performing all duties of software development including design, development, testing, and documentation. Develops flexible, maintainable solutions using the guidelines, requirements and standard practices and solves development problems through the use of good design and practical experience.

This role will advance Omada's platform and enablement for analytics, data science, and AI initiatives by designing and building scalable, efficient platforms and architectures. It focuses on creating the technological foundation that empowers analytics, machine learning, and data-driven decision-making across the organization, maintaining reliable infrastructure for AI/ML workloads, using MLOps/LLMOps, automation, and cloud-native technologies.

We are looking for an enthusiastic and highly motivated software engineer with experience and interest in numerical and high-performance computing to join our PyTorch team. You will work with modern numerical computing and deep learning technology, contribute to open-source projects like PyTorch, TorchRL, TorchAO, and Triton, and use C++, CUDA, Python, C, and MLIR.

This individual in this role is responsible for developing new and exciting products for KnowBe4’s customers, alongside other engineers in a fast-paced, agile development environment. Develops software using the KnowBe4 Software Development Lifecycle and Agile Methodologies. Recommends solutions to engineering problems and assists other team members by providing technical direction.

As a versatile engineer, thrive on building and deploying seamless user experiences. As someone with a strong understanding of both backend and frontend technologies, take ownership of features from concept to launch. Proficient in crafting robust APIs, managing databases, and developing interactive user interfaces. Focus on delivering high-quality, scalable, and maintainable products.

Design, build, evaluate, and ship ML solutions in Spotify’s personalization products and collaborate with cross functional teams to build new product features that advance the mission to connect artists and fans. Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users. Promote and role-model best practices of ML systems development throughout the organization and be part of an active group of machine learning practitioners.

You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. By collaborating with product management, design & analytics, you will ensure technical sustainability, risks and trade-offs are well understood and managed. You will foster a culture of quality and ownership on your team.