Product Manager – Data & AI (full remote) (Seattle)

Senior Data Analyst positions offered by Capital One, National Association (McLean, Virginia). Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please apply online at: https://capitalone.wd12.myworkdayjobs.com/Capital_One, Reference Job ID: R225859.

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. We are seeking a Senior AI/ML Computer Vision Engineer to drive the development and deployment of AI-powered features across our smart home automation product lines, which includes smart security cameras, video doorbells and autonomous vacuum cleaners. This role is crucial for optimizing real-time machine learning inference and video analytics at the edge, ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency. The ideal candidate has a strong background in embedded AI, computer vision, and real-time video processing with hands-on experience in deploying and optimizing ML models on constrained edge devices. Responsibilities Lead the development of ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, radar, LiDAR, and other sensors Utilize multi-sensor fusion techniques, combining video, audio, and radar/LiDAR data to enhance smart device intelligence. Optimize deep learning models for low-latency inference on embedded hardware (e.g., TensorFlow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU). Implement quantization, pruning, and model compression to maximize performance on edge devices. Collaborate with cloud team to develop edge-to-cloud data pipelines Requirements Required Qualifications Master’s degree in computer science or related field 3-7 years of experience in embedded AI, edge computing, and computer vision. Strong proficiency in Python for embedded AI development. At least 4 years of experience in deep learning frameworks such as TensorFlow, PyTorch and Darknet Expertise in machine learning model deployment on resource-constrained edge devices. Proficiency in image/video processing and computer vision tools such as PIL/Pillow, gstreamer, FFmpeg, OpenCV Able to simultaneously manage multiple projects Desired Qualifications Familiarity with state-of-the-art deep learning models for image segmentation and object detection Experience in Ensembling methods for combining multiple ML models Knowledge of low-power optimization techniques for AI inference on edge hardware. C/C++ Benefits Salary range: $130,000-$180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

Data Scientist II positions offered by WarnerMedia Services, LLC (Burbank, CA). Work with managers and business stakeholders to fully understand business requirements and the desired outcomes of their science and analytics needs. Perform exploratory and predictive analysis with SQL, Python, R. Produce statistical and machine learning models that inform business initiatives. Offering salary range of $83,090 to $154,310 per year. Position reports to Burbank, CA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please submit resume to wbdi@wbd.com. Reference Job ID: 8387489.

Summary: Strategic Legal Practices (SLP), a forward-thinking law firm, is seeking a highly skilled and hands-on Salesforce Engineer to enhance and expand our Salesforce ecosystem. This role is not for administrators—we are looking for engineers who live in the code, with deep expertise in Apex, Flow, custom object design, and Salesforce cloud platforms. Candidates with architect-level experience, particularly in custom object integrations with tools like Formstack, Conga, and DocuSign, will receive top consideration. Key Responsibilities Salesforce Engineering & Development Design and implement scalable, high-quality Salesforce solutions using Apex, Lightning Web Components, and Flow. Own end-to-end configuration and development of custom objects, record types, automations, and integrations. Build and maintain solutions that support our firm’s operational and client service goals. Platform Optimization Leverage Experience Cloud to design and enhance secure, user-friendly client and partner portals. Implement and support features in Service Cloud and Voice Cloud, such as: Case management, knowledge base, and automated workflows. Call routing, IVR, transcription, and recordings for internal training and optimization. Integration Engineering Lead integrations between Salesforce and third-party tools such as: Formstack, Conga Composer, DocuSign, and calendar/scheduling platforms. Ensure robust and secure data flow between platforms and systems. Collaboration & Innovation Partner closely with IT, operations, and legal teams to translate business requirements into technical solutions. Stay ahead of Salesforce releases and trends, proactively applying new features and patterns. Requirements Bachelor's degree in Computer Science, Information Systems, or a related technical field. 5+ years of Salesforce development experience, not just admin experience. Mastery of Apex, Flow, and Salesforce APIs. Deep hands-on experience with: Experience Cloud Service Cloud Voice Cloud Custom object design and management Strong understanding of data modeling, security (roles, sharing, OWD), and testing. Ability to work independently and thrive in a fast-paced legal-tech environment. Preferred / Bonus Salesforce Certified Platform Developer I and II Salesforce Certified Experience Cloud Consultant Salesforce Certified Service Cloud Consultant Salesforce Certified Application Architect or System Architect Experience with legal operations or professional services is a plus Demonstrated success integrating Formstack, Conga, and DocuSign in production Benefits We’re committed to supporting the well-being and success of our team through a robust and thoughtfully designed benefits package, including: 401(k) with Employer Match – Plan for your future with confidence and company support. Health, Dental, and Vision Insurance – Comprehensive coverage to keep you and your family healthy. Short-Term, Long-Term Disability & Life Insurance – Financial protection for life’s unexpected events. Paid Parking – Convenient and covered, so you can focus on your day. Generous Paid Time Off – Ample time to rest, recharge, and take care of personal matters. Employee Referral Program – Earn rewards for introducing talented individuals to our team. Employee Assistance Program (EAP) – Confidential resources for personal and professional support. Employee Discount Program – Access to exclusive savings on a variety of products and services.

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Platform Engineer - AI Tool & Integration Position Overview: The Data Analytics & AI department at RCG is seeking a highly skilled and experienced Software & Platform Engineer to join our team. This pivotal role requires a strong technical background in AI tooling, data platform architecture, cloud computing, and big data technologies. The successful candidate will be responsible for all tooling and integration with GenAI LLM, maintaining our Azure platform with OpenAI, and leveraging Databricks Mosaic AI. This role will be instrumental in driving innovation, ensuring seamless integration, and optimizing our AI and data platforms to meet the evolving needs of the business. Key Responsibilities: • Design, develop, and maintain tooling and integration for GenAI LLM and other AI models. • Manage and optimize our Azure platform, ensuring seamless integration with OpenAI and Databricks Mosaic AI. • Collaborate with cross-functional teams to identify and implement innovative AI solutions to enhance our platform capabilities. • Stay up to date with the latest advancements in AI and machine learning technologies to drive continuous improvement and innovation. • Develop and implement best practices for AI model deployment & scaling. • Design and execute integration strategies for incorporating large language models (LLMs) and CoPilot technologies with existing business platforms. • Assess and recommend suitable LLM and CoPilot technologies that align with business needs and technical requirements. • Conduct feasibility studies and proof-of-concepts to validate the integration of new tools and technologies. • Keep abreast of the latest advancements in LLM, CoPilot, and related technologies to identify opportunities for further innovation and improvement. • Understand and leverage MS CoPilot and MS CoPilot Studio for enhanced productivity and collaboration within the development team. • Integrate MS CoPilot tools into existing workflows and ensure seamless integration with other systems and applications used by the team. • Work closely with product managers, data scientists, and other stakeholders to gather requirements and ensure successful integration of LLM and CoPilot technologies. Requirements: • Bachelor’s or Master’s degree in computer science, Engineering, or a related field. • Proven experience in software/system/platform engineering, with a focus on AI tooling and integration. • Strong expertise in working with Azure, including managing and integrating AI services such as OpenAI and Databricks Mosaic AI. • Proficiency in programming languages such as Python, Java, or C++. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Solid understanding of software development methodologies, including Agile and DevOps practices and tools for continuous integration and deployment. • Understanding of data security best practices and compliance requirements in software development and integration • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication and collaboration skills. Preferred Qualification: • Strong proficiency in one or more programming languages such as Python, Java, C#, or JavaScript. • Experience with large language models (LLMs) and familiarity with tools like OpenAI GPT, Google BERT, or similar. • Hands-on experience with Databricks for data engineering, data science, or machine learning workflows. • Proficiency in using Databricks for building and managing data pipelines, ETL processes, and real-time data processing. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Hands-on experience with Microsoft CoPilot and CoPilot Studio. • Proficiency in working with APIs, microservices architecture, and web services (REST/SOAP). • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their integration services. • Knowledge of database systems, both SQL and NoSQL (e.g., MySQL, MongoDB). • Knowledge of natural language processing (NLP) and large language models (LLMs). • Previous experience in a similar role within a technology-driven organization. • Certifications in Azure, AI, or related areas.