Machine Learning EngineerJoin our innovative team as a Machine Learning Engineer, where we are at the forefront of revolutionizing hardware engineering with advanced models designed to enhance the design process significantly. Our aim is to autonomously generate cutting-edge hardware designs, pushing the boundaries of efficiency and affordability in the industry. About UsWe are dedicated to transforming hardware design processes, founded by leaders with backgrounds from top-tier institutions and supported by renowned investors. Our team is driven by a mission to streamline hardware design, leveraging expertise from industries intersecting AI and semiconductors. About the RoleAs a Machine Learning Engineer, you will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for training complex models, optimize both open-source and closed-source models under various constraints, and design innovative search and retrieval algorithms. Your responsibilities will include implementing and evaluating models while addressing challenging engineering constraints like latency and costly model inference. What We Can Offer You<ul><li>Opportunity to pioneer advancements in hardware engineering through AI integration</li><li>Collaborative environment with a focus on innovation and cutting-edge technology</li><li>Competitive salary and comprehensive benefits package</li><li>Flexible working hours and potential for remote work</li><li>Professional growth opportunities with continuous learning support</li><li>Chance to contribute to a rapidly expanding field bridging AI and semiconductor industries</li></ul> Key Responsibilities<ul><li>Develop and evaluate extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms.</li><li>Structure data appropriately for training complex models.</li><li>Build and optimize both open-source and closed-source models, considering various constraints.</li><li>Design and execute innovative search and retrieval algorithms.</li><li>Create and implement model evaluations.</li><li>Address challenging engineering constraints such as latency and costly model inference.</li></ul> Relevant Keywords in ItalicsThe ideal candidate should have a strong understanding of NLP and LLMs, along with strong proficiency in PyTorch. They should demonstrate a proven track record of exceptional data engineering and AI capabilities, including publications in top AI conferences and competitions and experience at leading AI companies and research labs. Additionally, experience in complex ML domains and a passion for solving challenging problems and innovating are crucial. Requirements<ul><li>Strong understanding of NLP and LLMs.</li><li>Strong proficiency in PyTorch.</li><li>Proven track record of exceptional data engineering and AI capabilities.</li><li>Publications in top AI conferences and competitions.</li><li>Experience at leading AI companies and research labs.</li><li>Implemented research papers into production code.</li><li>Experience in complex ML domains.</li><li>Passion for solving challenging problems and a hunger to innovate.</li></ul> Bonus<ul><li>Experience with code generation models.</li><li>Background in reinforcement learning.</li><li>Passion for 0 to 1 challenges and demonstrated drive to excel in the field.</li></ul> This role offers an exciting opportunity to contribute to groundbreaking advancements in hardware engineering while working in a dynamic and collaborative environment. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join us in transforming the future of hardware design.

Founding ML Engineer - AI/LLMs About the Role:We are searching for an exceptional Founding ML Engineer to join our team and play a pivotal role in developing an AI-powered co-pilot for chip designers. This role is perfect for someone with deep expertise in AI/ML and LLMs who is excited about redefining how the semiconductor industry builds and optimizes chips. Who You Are:As our Founding ML Engineer you are passionate about transforming the chip design process and empowering designers with cutting-edge tools. You’ll use your knowledge of AI, ML, and LLMs to build impactful features that make chip development faster, easier, and more intuitive. You’ll also work directly with top-tier clients in chip and IP design to evolve our product with real-world feedback. What You’ll Do:As our Founding ML Engineer your responsibilities will include:<ul><li>Developing advanced AI models and infrastructure that support 10+ customers in the chip and IP sectors.</li><li>Making critical architectural decisions to define key product features and the co-pilot's overall direction.</li><li>Translating user feedback into product updates and new features, ensuring the tool aligns with customer needs.</li><li>Collaborating with the founding team to help shape the product roadmap and core strategy.</li></ul> Minimum Requirements for the Founding ML Engineer Role:<ul><li>Proficiency in Python, C++, and PyTorch.</li><li>Strong knowledge of ML models, LLMs, foundation models, and agent-based systems.</li><li>Experience building ML pipelines and working with LLMs/foundation models.</li><li>Motivation to apply AI/ML to transform chip design.</li><li>Ability to ship high-quality code quickly, work iteratively, and solve complex technical problems.</li></ul> Ideal Experience:As a Founding ML Engineer ideal candidates will have:<ul><li>Experience shipping products using LLMs, foundation models, or agentic workflows.</li><li>Familiarity with AWS SageMaker.</li></ul> Nice-to-Have Skills:<ul><li>Prior experience in AI/ML-driven chip EDA software.</li><li>Background in chip design, either commercial or open-source.</li></ul> Why Join Us as a Founding ML Engineer?This role offers a unique opportunity to be on the ground floor of a fast-growing AI company focused on revolutionizing chip design. With a competitive salary, generous equity, and comprehensive benefits, you’ll work closely with top industry professionals and shape a tool set to redefine the future of chip design.

About the Company This position offers an opportunity to work with an AI-driven talent platform that transforms recruitment by using advanced machine learning models to evaluate and rank candidates based on their capabilities. The company serves a diverse range of clients, from startups to large AI labs, ensuring precise candidate matches tailored to each business's needs. By leveraging vast data and machine learning algorithms, they aim to redefine hiring efficiency and accuracy in the AI talent market. About the Role As a Machine Learning Engineer, you’ll contribute to the company’s core functionality—delivering ranked candidate lists optimized for relevance and skill. The Machine Learning Engineer will focus on enhancing and deploying advanced ranking algorithms and search techniques to refine candidate matching. This role is hands-on, involving rapid experimentation, model optimization, and a deep dive into vast proprietary datasets to drive high-quality candidate recommendations. What We Can Offer You: <ul><li>Opportunity to work with cutting-edge ML models and large datasets</li><li>High-impact role with autonomy to iterate and optimize models</li><li>Exposure to complex problem-solving in semantic search and ranking</li><li>Collaborative environment with cross-functional opportunities</li><li>Competitive compensation and career growth potential</li></ul> Key Responsibilities: Algorithm Development:<ul><li>Train, test, and deploy advanced ranking models (LTR) utilizing proprietary data, including human-labeled and multimodal datasets</li><li>Develop and fine-tune semantic search algorithms to return relevant candidates based on client queries</li><li>Conduct rapid experimentation to enhance model accuracy and efficiency</li></ul> Infrastructure and Process:<ul><li>Write reliable, scalable code suitable for high-volume recruitment processes</li><li>Balance between research-oriented focus and efficient engineering practices</li><li>Build and maintain scalable ML infrastructure for processing multimodal data</li></ul> Algorithmic Bias Mitigation:<ul><li>Develop systems to measure and minimize algorithmic bias in candidate evaluations</li><li>Perform experiments to improve model transparency and fairness</li></ul> Business Context:<ul><li>Collaborate with other teams to integrate ML solutions into broader product offerings</li><li>Contribute to the development of ML strategies aligned with business growth</li></ul> Relevant Keywords: Experience with learn-to-rank, semantic search, multimodal data processing, high-volume recruitment systems, model optimization, and bias mitigation will be essential for this Machine Learning Engineer role.

Envisioning AI for All Democratizing AI accessibility is our commitment, making it an affordable and efficient tool for everyone. Expertise in AI, compilers, numerical algorithms, and computer architecture defines our diverse team's dedication to redefining accelerated computing. The development of both hardware and software tools aims to responsibly extend AI benefits to all, unlocking humanity's collective potential. Responsibilities: <ul><li>Drive Lemurian's AI SDK development, focusing on deep learning training and inference components.</li><li>Design Python and C++ tools for efficient deep learning model deployment.</li><li>Craft essential components of the AI framework, contributing insights to new hardware design.</li><li>Optimize AI model performance on cutting-edge hardware.</li><li>Stay current with industry advancements to keep our solutions at the forefront.</li></ul> Qualifications: <ul><li>STEM Education: Bachelor's degree (EE or CS preferred); Master's degree or equivalent experience a plus.</li><li>Algorithmic Proficiency: Strong understanding of algorithms and numerical analysis.</li><li>Coding Skills: Proven ability to write high-performance, scalable code for enterprise-grade products.</li><li>Linear Algebra: Proficient in linear algebra kernels for GPU platforms.</li><li>Software Development: 4+ years of experience in software development for large, complex applications.</li><li>Code Optimization: Adept at code manipulation and optimization.</li></ul> Ready to Shape the Future? Apply Now and be part of making AI a reality for everyone!

Machine Learning Engineer Are you an experienced Machine Learning Engineer looking to develop models that predict job performance more effectively than traditional methods? This opportunity is ideal for engineers passionate about using machine learning to solve complex, real-world problems. You'll join a team trusted by a wide range of clients, from emerging startups to leading AI labs, to train models at scale and push the boundaries of LLM capabilities. About the CompanyThis organization is driving innovation by creating predictive models that redefine job performance assessments, attracting the attention of high-profile clients in various sectors. With robust financial backing and steady growth, this team is scaling its technology and impact rapidly, supported by significant investment from some of the most respected names in tech. About the RoleAs a Machine Learning Engineer, you'll focus on developing and refining models that utilize large language models and other advanced techniques. Your experience with backend development and machine learning will be essential to creating solutions that can meet the diverse and challenging needs of our clients. This is a hands-on role for someone who thrives in a fast-paced, growth-oriented environment. What We Can Offer You<ul><li>Collaborative environment focused on hands-on problem-solving.</li><li>Access to cutting-edge AI and ML resources.</li><li>Opportunities to work with high-profile clients in the tech industry.</li><li>High-impact role with ownership over critical parts of the ML pipeline.</li><li>Support for continuous learning and professional development.</li></ul> Key Responsibilities<ul><li>Develop and deploy machine learning models, particularly focused on LLMs and other transformer-based models.</li><li>Design and implement backend services, utilizing Python and Django.</li><li>Create and maintain efficient databases and write optimized SQL queries.</li><li>Collaborate with cross-functional teams to understand complex requirements and develop rapid, viable solutions.</li><li>Ensure model performance and accuracy through rigorous testing and monitoring.</li><li>Implement and manage cloud infrastructure using GCP or AWS.</li></ul>

Machine Learning Engineer Acceler8 Talent Jobs

Machine Learning Engineer
January 2, 2025

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January 2, 2025

Machine Learning Engineer
January 1, 2025

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January 1, 2025

Machine Learning Engineer
December 31, 2024

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Machine Learning Engineer Acceler8 Talent Jobs

Machine Learning EngineerJanuary 2, 2025

Founding Machine Learning Engineer AillmsJanuary 2, 2025

Machine Learning EngineerJanuary 1, 2025

Senior Machine Learning EngineerJanuary 1, 2025

Machine Learning EngineerDecember 31, 2024