You will build and maintain a production-grade iOS application with a focus on AI-powered features and reliable user workflows. You will collaborate with backend and ML engineers to optimize performance, memory usage, and the overall user experience.
Remote Software Development Jobs (49,479)
Job category = Software Development
You will own the end-to-end AI product strategy, balancing technical feasibility with user needs to deliver reliable, high-value features. You will work closely with engineering teams to define success metrics, iterate on model performance, and manage complex technical trade-offs.
You will be responsible for building and owning end-to-end machine learning pipelines, including training, inference, and deployment systems. You will also collaborate with research and application teams to integrate scalable, production-grade AI models into real-world products.
You will build and improve core machine learning components across data, training, evaluation, and inference pipelines. Additionally, you will debug production model issues and collaborate with product teams to ensure reliability and performance.
You will own critical machine learning subsystems end-to-end, from data preparation and training to production deployment and iteration. You will collaborate with research and engineering teams to build reliable, scalable AI systems that solve complex, long-horizon tasks.
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You will build and maintain cross-platform desktop applications using Electron to deliver AI-powered features. Your role involves optimizing performance, managing local state, and ensuring stability across macOS and Windows environments.
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and inference architecture. You will also collaborate with application engineering to integrate these models into production products while ensuring reliability and performance.
You will own the core application architecture and lead a senior team to integrate AI systems into mobile, desktop, and backend platforms. Your role involves ensuring production-grade reliability, observability, and performance while translating machine learning capabilities into shippable product features.
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and inference architecture. You are responsible for translating research into production-ready solutions while ensuring system reliability, performance, and scalability.
You will define the research direction for the company's core AI intelligence, focusing on reasoning, memory, and planning. You will also establish evaluation frameworks to ensure real-world usefulness, safety, and robustness of the AI system.
The Salesforce Architect will lead the architectural design and migration of legacy systems to Salesforce Government Cloud Plus. They are responsible for overseeing data management, system integration, and ensuring compliance with federal security standards.
The role involves developing and operating large-scale machine learning models to detect and prevent fraud throughout the entire lifecycle. You will build scalable data pipelines and collaborate with engineering and product teams to maintain system reliability in high-volume environments.
Client Director, AI-Driven Commercial Effectiveness
Odaia Intelligence Inc.
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Full Time
·
7 Weeks Ago
Odaia Intelligence Inc.
The Client Director will drive new business growth and expand strategic partnerships within mid-market and enterprise life sciences organizations. They will lead consultative discovery conversations and architect AI-driven solutions to transform commercial performance.
Embedded Systems Engineer | Hardware-Integrated Software Developer | Deep-Tech Startup in Personalized Medicine
iLoF
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Full Time
·
7 Weeks Ago
iLoF
Collaborate with hardware and data science teams to develop software applications for automated data collection and hardware-software interfaces. Manage cloud infrastructure, databases, and ensure data security and regulatory compliance for medical device standards.
The Associate Structural Engineer will assist with structural design efforts for federal projects, including building frameworks, foundations, and structural systems. They will also collaborate with experienced engineers to produce structural plans, perform calculations, and prepare construction documents.
The Data Analyst will build and maintain high-quality Power BI dashboards, reports, and KPIs while performing statistical analysis to uncover business trends. They will partner with business units to translate complex data needs into actionable insights and mentor associate analysts.
Lead the technical vision, architecture, and strategy for the data lake platform while driving development roadmaps. Partner with cross-functional teams to design scalable data infrastructure and mentor engineering staff.
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You will design and build scalable GTM data pipelines and automation systems to drive revenue growth. This role involves partnering with marketing, sales, and engineering teams to develop internal tools and AI-native workflows.
Dynamics 365 F & SCM Functional Analyst - Accounting/Technical
Summit Racing
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Full Time
·
7 Weeks Ago
Summit Racing
The Functional Analyst will design, configure, and implement Microsoft Dynamics 365 ERP solutions to meet business requirements. They are responsible for analyzing business processes, providing expert support, and training team members across company facilities.
LV Field Service Power Distribution Engineer- EMEA
Eaton Corporation
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Full Time
·
7 Weeks Ago
Eaton Corporation
The engineer will perform installation, commissioning, testing, and maintenance of LV power distribution equipment across the EMEA region. They will act as the primary customer contact, manage site activities, and ensure all work complies with safety standards.
Develop water treatment process models to evaluate cost and environmental impacts while assessing innovative treatment technologies. Utilize data science and systems-level thinking to identify design tradeoffs and solve complex sustainability problems.
Data Engineer - Security (Kafka Experience) 13 APPLICANTS
NTT DATA
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Full Time
·
7 Weeks Ago
NTT DATA
Design and operate large-scale event-streaming platforms using Kafka and build robust data pipelines for ingestion from REST/GraphQL APIs. Manage end-to-end AWS data lake operations, including Glue job optimization, Airflow orchestration, and Snowflake ELT modeling.
Develop comprehensive solution and feature test plans to validate product capabilities and customer use-cases. Collaborate with software and hardware engineering teams to execute tests, analyze results, and resolve defects in end-to-end networking solutions.
Provide technical support and guidance to junior engineers and customers regarding power systems and arc flash analysis. Review complex models and reports for accuracy while ensuring adherence to industry standards like IEEE 1584 and NFPA 70E.
You will lead the research and development of core member metrics and decision frameworks to guide product strategy. Additionally, you will collaborate with cross-functional teams to improve measurement strategies and causal inference capabilities.
Senior Site Reliability Engineer, CORE (Member Experience / Resilience Operations)
Netflix
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Full Time
·
7 Weeks Ago
Netflix
Design and evolve resilient, scalable infrastructure for member-facing services while embedding reliability and observability into the software development lifecycle. Lead incident response efforts and proactively identify systemic risks to ensure high availability and performance across global systems.
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Manager, Data Science & Engineering - Title & Launch Management
Netflix
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Full Time
·
7 Weeks Ago
Netflix
Oversee the design, deployment, and evaluation of autonomous AI solutions to optimize Netflix's content launch strategy. Lead and mentor a multidisciplinary team of data scientists and engineers while driving cross-functional collaboration to build scalable content ingestion systems.
Participants will engage in hands-on skill building and technical interview preparation through interactive sessions. They will also connect with Liberty Mutual technologists and leaders to gain insights into career pathways in the tech industry.
You will build and evolve backend systems for AI governance, including audit event pipelines, access control, and artifact storage. You will also design data models for high-write systems and collaborate with cross-functional teams to implement scalable enterprise solutions.
You will define and drive the backend architecture for AI governance systems, focusing on auditability, policy enforcement, and enterprise reporting. You will also guide technical design for tool and registry governance while mentoring other engineers to ensure architectural consistency across teams.
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