Lead Machine Learning Engineer Salary at Linkedin Corp BETA

Lead Machine Learning Engineer Location: San Francisco, CA (Hybrid, 3+ days/week in-office) Salary: ~$200K + 0.25–0.75% equity Type: Full-time About the Opportunity A fast-growing, VC-backed B2B startup is transforming how companies automate customer support. The platform enables non-technical customer experience (CX) teams to build automation without relying on engineers—think ChatGPT tailored to each brand, with the ability to take real-time action on behalf of agents and customers. Following 7x growth in 2023 and strong momentum into 2024, the company is preparing to raise a Series A in Q4. Backed by leading investors from Silicon Valley, this is a unique opportunity to join early and make a significant impact. Role Overview We’re looking for a talented and experienced Lead Machine Learning Engineer to drive the company’s AI and ML initiatives. This is a foundational role with both strategic and hands-on responsibilities, perfect for someone who wants to help shape the future of a p

Senior - Principal Machine Learning Research Engineer Bay Area - Hybrid We are looking for a passionate and driven Machine Learning Research Engineer to join an impressive applied research company in the Bay Area. We are seeking a highly skilled professional with a strong computational background and a proven ability to operate at the cutting edge of engineering and science. Responsibilities: Apply state-of-the-art research methods in AI and machine learning to solve complex challenges. Design, maintain, and improve benchmarks for evaluating AI systems. Optimise agent architectures to enhance performance, functionality, and scalability. Develop a comprehensive experimental framework to ensure seamless integration of research insights into real-world applications. Qualifications: Extensive experience in software engineering, particularly in AI or machine learning. Proficiency in programming languages like Python and C++, commonly used in AI development. Familiarity with version control

Senior - Principal Machine Learning Research Engineer Bay Area - Hybrid We are looking for a passionate and driven Machine Learning Research Engineer to join an impressive applied research company in the Bay Area. We are seeking a highly skilled professional with a strong computational background and a proven ability to operate at the cutting edge of engineering and science. Responsibilities: Apply state-of-the-art research methods in AI and machine learning to solve complex challenges. Design, maintain, and improve benchmarks for evaluating AI systems. Optimise agent architectures to enhance performance, functionality, and scalability. Develop a comprehensive experimental framework to ensure seamless integration of research insights into real-world applications. Qualifications: Extensive experience in software engineering, particularly in AI or machine learning. Proficiency in programming languages like Python and C++, commonly used in AI development. Familiarity with version control

**Job Requisition ID #** 24WD78709 **Digital Experience & Customer Empowerment Machine Learning Team (DXC-ML)@Autodesk** The DXC-ML Team is responsible delivering Machine Learning features that transform the customer experience for Sales, Marketing, and Customer Success functions at Autodesk. We aim to help our customers, through conversation, personalization, and other intelligent features on our platform. Our team members work extensively with stakeholders across the company, with significant technology leadership and opportunity for impact. We work in a supportive and collaborative way, applying the latest technology and rigorous analysis to solve complex customer problems using ML. **Position Overview** Our focus is on optimizing e-commerce through advanced techniques in conversion, segmentation, and behavior targeting. This initiative aims to enhance customer experiences and drive better business outcomes. For instance, we are developing sophisticated models to personalize custome

Senior Machine Learning Engineer - Robotics Location: Onsite – Bay Area Type: Full-Time DeepRec.ai is collaborating with a well-funded, stealth-mode robotics start-up in the Bay Area that’s on a mission to transform the robotics industry. Their team of top-tier talent is developing state-of-the-art robotic systems to solve complex, real-world problems. We’re building a world-class AI robotics team and are seeking a Machine Learning Engineer to join their ranks. In this role, you’ll focus on designing, developing, testing, and deploying machine learning algorithms that enable robotic manipulators to execute sophisticated tasks in dynamic environments. A strong background in reinforcement learning (RL) and imitation learning (IL) as applied to robotics is essential. This is a unique opportunity to join a fast-paced start-up, work alongside industry experts, and play a pivotal role in shaping the company’s future, backed by significant financial investment. For more information, please ap

Data Science – Machine Learning / Full Time / Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while delivering an essential service to society. What You’ll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency

Senior Machine Learning Engineer Remote Up to $200,000 + Bonus Company: A leading AI platform in the advertising space is seeking a Senior Machine Learning Engineer to help drive the development of its LLM and foundational model product suite. This role involves building and deploying advanced ML models to solve real-world business challenges with close collaboration across product and engineering teams. Role: Design, build, and deploy machine learning models, including large language models (LLMs) and foundational models, to address real-world challenges. Develop and refine components within ML pipelines, focusing on LLM integration, robust monitoring, and seamless product implementation. Collaborate with product teams to ensure ML solutions align with business objectives and deliver meaningful user value. Work alongside engineering teams to embed models into production systems, optimizing for scalability, performance, and reliability. Apply deep technical knowledge to maintain high p

Data Science – Machine Learning / Full Time / Remote A mission-driven company focused on enabling equitable and efficient access to insurance for everyone. The goal is to empower insurers to offer affordable coverage to individuals and organizations facing challenges such as climate change, cyber risks, and social inflation. Backed by leading investors, they leverage cutting-edge AI/ML technology to redefine how risks are managed. Their AI-driven platform uses deep reinforcement learning to help insurance companies optimize their risk portfolios, ensuring fair and equitable pricing in hard-to-price areas. By operationalizing underutilized data and providing real-time risk insights, their solution improves underwriting decisions and empowers insurance underwriters to achieve their goals while delivering an essential service to society. What You’ll Be Doing Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to improve accuracy and efficiency