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Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Engineering Qualcomm AI Research is looking for talented AI software engineers to enable AI technologies on edge devices. This is your opportunity to join a high-caliber team of engineers, building best-in-class GenAI solutions with model optimization tools to deploy state-of-the-art models to edge devices with optimal power, memory, and computation use. In this role, you will be part of a multi-disciplinary team that has continually enabled first-of-its-kind and competitive generative AI models on Qualcomm AI accelerator engines, such as the world's first on device text-to-image generation with stable diffusion, and text-to-text with 7B large language model on device. You will collaborate in a cross-functional environment spanning hardware, software and systems and see your design in action on industry-leading chips embedded in the next generation of intelligent devices, such as smartphones, autonomous vehicles, robotics, and IOT devices. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field. Responsibilities Development of end-to-end embedded AI software to run quantized neural network models on Qualcomm leading edge hardware with optimal resources. Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency. Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors. Development of debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases. Preferred Skills and Experience 3+ years of professional work experience in a relevant field. Excellent programming capabilities with C/C++ and Python. Knowledge of deep learning and ML frameworks (i.e. PyTorch). Strong software design, development, and debugging skills. Knowledge of Android programming is a plus. Optimization of algebraic operations in algorithms for HW cores is a plus. Knowledge in neural network model quantization is a big plus. Experience with Qualcomm QNN SDK is a big plus. EEO / Accessibility Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email disability-accommodations@qualcomm.com. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Notice to Staffing & Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. Pay range and Other Compensation & Benefits: $158,400.00 - $237,600.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

- Physical layout design including Synthesis, Place & Route, Physical verification, Static Timing Check, Power Verification, AC implementation, ... - Design and develop the overall architecture of the platform - Ensure the platform is scalable, flexible, and meets the performance requirements - Collaborate with related teams to finish design within defined schedule. - Working with team to achieve project. Qualifications - At least 5 years experience in semiconductor design, Physical Layout design. - Proven experience in platform architecture, design, and implementation - Solid knowledge in using EDA tool (Synopsys, Cadence, ...). - Experience with software development languages, such as C-Shell, Perl, Tcl or Python. - Good written and oral communication (in English) & interpersonal skills. - Strong team-oriented working and good relationship-building with others. - Good communication skills as well as problem solving skills. - A passion for working with platforms and a desire to contribute to the development Additional Information We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning. Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.' At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let's Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. #J-18808-Ljbffr

Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.About the client : Title of Role: Machine Learning Engineer Location: San Francisco, CA Company Stage of Funding: Series A Office Type: Onsite (5 Days a Week) Salary: $140,000 - $240,000 + Equity (0.2% - 0.8%) Company Description We are partnering with a rapidly growing Series A healthcare AI company that's transforming how medical systems operate. Backed by premier investors including YC and General Catalyst, the company has raised $14M and is solving some of the most complex operational challenges in American healthcare using cutting-edge AI. Their flagship platform streamlines prior authorization workflows by analyzing EHR data, accelerating patient access to care, and improving provider revenue. Despite being early-stage, the company has already signed enterprise contracts with major U.S. health systems and is scaling quickly. They are looking for mission-driven engineers who are eager to make a meaningful impact in healthcare using modern machine learning and language models. What You Will Do Design and develop LLM-powered pipelines to process various medical documents, including handwritten clinical notes. Build production-ready question-answering systems that extract actionable insights from structured and unstructured patient data. Create ML solutions that automate integrations between EHR platforms and other healthcare infrastructure systems. Own ML features from research and experimentation to scalable deployment in real-world healthcare environments. Collaborate cross-functionally with the product and engineering teams to align machine learning solutions with business goals. Continuously iterate on and improve ML models, pipelines, and infrastructure to ensure performance and scalability. Ideal Candidate Background 5+ years of hands-on experience building and deploying production-grade machine learning systems. Strong expertise in training and fine-tuning large language models (LLMs), beyond basic API use. Deep understanding of ML frameworks such as PyTorch and TensorFlow. Proven success in roles at companies with mature ML environments (e.g., FAANG, AI startups, or top-tier ML-focused orgs). Prior work in document processing, information extraction, or question-answering systems. Preferred MS or PhD in Computer Science or a related STEM discipline, or equivalent industry research and production experience. Exposure to fast-paced startup environments with small, collaborative teams. Contributions to ML research or publications are a plus, but not required. Experience in healthcare tech or working with EHR data is a bonus. Compensation and Benefits Base Salary: $140,000 - $240,000 Equity: 0.2% - 0.8% stock options Visa Sponsorship: H1B transfers supported Work Schedule: Full onsite presence (5 days/week), working west coast hours Additional Perks: Join a tight-knit engineering team of 11, with high-impact ownership and the opportunity to help shape the future of healthcare AI from the ground up. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimization. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong theoretical background in AI and general ML techniques Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics ML Accelerator architecture knowledge & experience with ML Accelerators - GPU/NPU Proven hands-on experience building LLM stacks to solve real-world problems Strong Python and modern C++ design and implementation skills. Strong command of Machine Learning training frameworks (i.e. PyTorch ) Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) Strong Linux command line skills. Strong general analytical and debugging skills. Prior experience working in agile environments. Prior experience in collaborating with multi-disciplinary teams across time zones. Strong team player, communicator, presenter, mentor, and teacher. Preferred extra experience and skills: Hands-on experience developing software for heterogenous platforms with OpenCL. Experience developing solutions that target a variety of hardware ( CPU, GPU, NSP …) along with their respective SW development environments. Prior experience with model quantization, profiling and running models on edge devices. Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows) Previous experience with Docker and Git. Preferred qualifications: Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Pay range: $140,800.00 - $211,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

Lead the Future of Dentistry. Overjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we're looking for talented people to fulfill our mission: improve oral health for all. Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you. Simply put, there's no better place to accelerate your career. Come join us! The Role As a Staff ML Engineer at Overjet, your aim will be to lead the development of tools, infrastructure, processes, and overall systems that enable us to develop, test, ship and operationalize AI/ML models into large scale production environments. You will be responsible for designing the architecture and roadmap of the full-stack of ML lifecycle: from dataset creation and pre- and post-processing, model training, and model evaluation to the fully automated CI/CD process for seamless deployment of models and ML solutions in production. As part of your role, you will also be responsible for the development, implementation, and maintenance of tools and systems dedicated to monitoring the performance of our production models. You thrive in uncertainty and are comfortable building entire cloud pipelines from the ground up, leveraging the latest technologies. At Overjet, we are at the forefront of ML/AI innovation, where creative problem-solving and a strong grasp of first principles are essential. We are focused on building future-ready solutions today. Responsibilities Design, develop, and maintain machine learning model development pipelines Design, develop, and maintain real-time and batch inference pipelines Design, implement, and maintain metrics for infrastructure observability and ML model performance Design and develop APIs for model training and inference services, develop and maintain datasets and feature stores Model performance optimization, monitoring, maintenance, and reporting Participating in an on-call rotation, responding to critical incidents outside of normal business hours Qualifications 6+ years of experience designing microservices and data processing pipelines at scale 6+ years of experience with Cloud Platform such as GCP, AWS or Azure Experience with distributed model training and/or inference Experience with deploying applications on Kubernetes, DevOps/GitOps tools such as Terraform, ArgoCD, Crossplane Strong programming skills in Python, Go (Golang), C++ or Java (10+ years) Extensive experience with database (SQL and NoSQL) systems such as BigQuery, Postgres, MongoDB Experience with optimizing models for production deployments (e.g., architecture modifications, quantization, or other techniques) Strong understanding of machine learning concepts and algorithms, and experience with developing and deploying machine learning models in production Working machine learning knowledge of either Computer Vision models or LLMs (Demonstrable experience working with Pytorch is required) Ability to modify and train open source models Why Overjet? Competitive Compensation and Equity Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location 401k plans with a matching program Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered Life and AD+D Insurance 8 weeks Paid Parental Leave Optional HSA with Employer contribution Flexible Time Off and company paid holidays Annual Learning and Development Stipend Work from Home Stipend Our Hybrid Workplace We have a unique hybrid workplace at Overjet - which combines the teamwork of meeting in person, with the flexibility of working from anywhere. Many of our positions are based in San Mateo, New York City, Boston, Salt Lake City, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week. Our People Team is happy to answer any questions about what hybrid work means for your specific role! Overjet's Values Excellence: We set ambitious goals and strive for excellence. Velocity: We focus, act with urgency, and deliver results. Ownership: We take ownership, dive deep and solve problems. Win-win: We play to win, setting ourselves and our customers up for success. Growth: We stay curious, seek feedback, and continuously learn and grow. Company Recognition Honored as one of the 2025 Best Places to Work by Built In and 2024 Best Places to Work by Built In Named one of the TIME Best Inventions of 2024 Recognized in Newsweek's Most Loved Workplaces in America 2024 Won the Dental Health category at the Digital Health Awards 2024 and 2024 Best Places to Work by Built In Recognized as one of the Top Startups of 2023 by LinkedIn Named one of the 2023 World's Most Innovative Companies by Fast Company Included on the definitive 2022 Forbes AI 50 Featured in Bloomberg, Forbes, Fast Company, and TechCrunch EEOC Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! If you are a Colorado resident: Please contact us by emailing ********************* to receive compensation and benefits information for this role. Please include the job title in the subject line of the email. #J-18808-Ljbffr

A healthcare AI start-up is seeking a Machine Learning Engineer to accelerate product expansion. You will optimize ML models for deployment in a high-stakes environment and improve data processing pipelines. The ideal candidate will have solid software engineering skills and experience in a startup, with a passion for AI in healthcare. This role offers a competitive salary and hybrid work arrangements in San Francisco, contributing to impactful healthcare solutions. #J-18808-Ljbffr

San Francisco, United States | Posted on 01/14/2026 We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities. What we do Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous. With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where millions of machines will make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes. At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone). We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide. What you'll do Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots. Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback). Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems. Deploy trained models to edge compute devices with real-time inference constraints. Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack. What you bring 3+ years of hands‑on ML experience, preferably in robotics, computer vision, or embodied AI. Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models. Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems. Proficiency with computer vision techniques (object detection, segmentation, point cloud processing). Understanding of robotics fundamentals (kinematics, control theory, sensor fusion). Strong Python skills and experience with ML libraries. Bonus: Experience with Vision‑Language‑Action models, foundation models, or deploying models to edge devices. Additional Notes Our team develops on physical robots in person-expect hands‑on testing and debugging Need to be located or willing to relocate to San Francisco, CA Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet Come join us in building a new global economy, where anyone can do manual work remotely and with robo‑scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth. #J-18808-Ljbffr

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. About the role Lightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers. Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs. We're inspired by the challenge of creating innovative new AI products for people doing serious work, and we're looking to grow our AI/ML team to meet that challenge. What you'll do Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use Craft Lightfield's AI/ML strategy in tight collaboration with founders and execs Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions Prototype innovative, LLM-powered experiences, and drive their development into robust product features Help build a world class AI/ML engineering team by recruiting and mentoring teammates Who you are You have a BS or MS degree in CS, AI, or applied math You have 5+ years of experience building AI/ML based products in NLP domains You have a strong understanding of deep learning AI/ML frameworks or cloud services You have hands-on ML Ops experience Bonus Points Experience leading AI/ML product initiatives Publications in applied AI/ML scientific journals Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc) Benefits & Perks Competitive salary Meaningful early equity Health insurance (medical, dental, vision) 3 weeks of PTO 11 paid company holidays + we enjoy a winter holiday break 3 months of paid family leave Wednesdays work from home Regular team dinners, events, offsites, and retreats 401k plan Other perks include: commuter and lunch stipend #J-18808-Ljbffr

A leading technology company is seeking a Smart Contract Engineer to join their remote team. You will be tasked with implementing innovative smart contracts and managing project roadmaps, all while enjoying the flexibility of remote work and a competitive salary. This role offers the chance to work with talented individuals in the thriving crypto space, with benefits including unlimited vacation and top-tier health coverage. #J-18808-Ljbffr

A culinary essentials distributor is seeking a Machine Learning Engineer to design predictive models and automate ML pipelines. You will work with data science teams to turn prototypes into production code. Ideal candidates have over 2 years in ML engineering, proficient in Python, and familiar with tools like TensorFlow and AWS. The role offers flexible remote or hybrid work options and a competitive salary range of $50,000 - $200,000 USD annually based on experience and location. #J-18808-Ljbffr

Title: Machine Learning Engineer Responsibilities: Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost). Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization. Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality. Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management. Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production. Define and track performance and cost KPIs; run continuous improvement loops and capacity planning. Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations. Educational Qualifications: Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master's preferred (or equivalent industry experience). Strong systems/ML engineering with exposure to distributed training and inference optimization. Industry Experience: 3-5 years in ML/AI engineering roles owning training and/or serving in production at scale. Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements. Experience collaborating across Research, Platform/Infra, Data, and Product functions. Technical Skills: Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers. Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores. Write performant, maintainable code Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Odins3 Remote / Seattle Full-time Posted 685 days ago AI Development 3+ years $160K - $220K 0.05% - 0.2% equity Build and deploy ML models that power our AI website builder. Work on cutting-edge algorithms for automated web design and development. About This Role Join our ML Engineering team to build the brain behind our AI website builder. You'll develop sophisticated machine learning models that understand design principles, generate beautiful layouts, and create intelligent web experiences automatically. This role combines traditional ML engineering with creative applications in web design and development. You'll work with computer vision models for design analysis, NLP systems for content generation, and recommendation engines for design optimization. Our ML Engineers work across the full stack - from research and experimentation to production deployment and monitoring. You'll collaborate closely with our AI researchers, product team, and frontend engineers to bring cutting-edge ML capabilities to millions of users. Requirements 3+ years ML engineering experience Strong Python, TensorFlow/PyTorch background Experience with computer vision and NLP Knowledge of web technologies and design principles Experience with MLOps and model deployment Understanding of design systems and UI/UX principles Experience with cloud platforms (AWS, GCP, Azure) Knowledge of containerization and orchestration Experience with A/B testing and experimentation Strong data analysis and visualization skills Responsibilities Develop ML models for automated web design Deploy and monitor ML models in production Research and prototype new AI capabilities Optimize model performance and accuracy Build data pipelines for training and inference Collaborate with design team on AI‑generated layouts Contribute to ML platform and infrastructure Required Skills & Technologies Python TensorFlow PyTorch Scikit‑learn NumPy Computer Vision NLP MLOps Docker AWS Redis Airflow Git Equity package: 0.05% - 0.2%. Unlimited PTO and flexible hours. $4,000 annual learning budget. Top‑tier hardware and equipment. Conference attendance support. Health and wellness benefits. Team building and social events. Fully remote with optional quarterly in‑person sessions. Flexible schedule with some overlap with PST hours. Reporting Structure Reports to: Senior AI Developer. Collaborates with: AI Research team, Product Engineering, Design team. Job Summary Department: AI Development Experience: 3+ years Type: Full‑time Location: Remote / Seattle Equity: 0.05% - 0.2% Posted January 12, 2024 About Odins3 We're revolutionizing web development with AI‑powered tools that make creating beautiful, functional websites accessible to everyone. Join our innovative team and help shape the future of digital experiences. #J-18808-Ljbffr

A global apparel company is looking for a Principal Engineer for Shared Platforms & Services in San Francisco. In this pivotal role, you'll evolve the core technology foundation to enhance the digital ecosystem by architecting resilient platforms and driving AI adoption. You'll leverage 12+ years in engineering to lead cross-functional initiatives, mentor teams, and communicate technical concepts clearly. This position offers flexibility as a remote or hybrid role with a competitive salary and a strong focus on platform excellence. #J-18808-Ljbffr

A cutting-edge technology company is looking for a Forward Deployed Engineer in San Francisco, CA, to work directly with customers to design and implement solutions using their products. This role demands strong engineering fundamentals, excellent communication skills, and the ability to proactively identify and solve problems. The candidate will own technical outcomes and work closely with cross-functional teams. Benefits include competitive pay, healthcare coverage, equity grants, and remote work flexibility. #J-18808-Ljbffr

Preferred Locations: Midwest based: Indianapolis, IN or IL, Chicagoland Area preferred Who We Are: K1x is the leading data distribution platform for alternative investments. Simply put, our mission is to digitize the K-1 ecosystem. Our AI-powered K-1 extraction technologies surpass all other competition and we're the first to produce a digital K-1. Learn more at ********** About the role: We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in natural language processing (NLP) and extensive experience working with unstructured and semi-structured data such as financial statements and tax documents. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that enhance our software's ability to accurately and efficiently process partnership accounting and tax documents. If you are an experienced Machine Learning Engineer or Data Scientist looking for an exciting opportunity to work on challenging problems and deliver machine learning products, we would love to hear from you. Join our team and help shape the future of alternative investments management and distribution! Responsibilities Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents. Collaborate with cross-functional teams to integrate machine learning solutions into our software products. Apply statistical analysis to identify signals, trends, and insights that can inform product development. Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment. Qualifications Masters' or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field, or equivalent experience 6+ years of relevant industry experience as a data scientist, with a focus on NLP/NLU projects Demonstrated experience leading end-to-end data science project implementations Excellent problem-solving skills with the ability to synthesize and communicate complex technical results to senior leaders and nontechnical audiences Proficiency in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spa Cy) Preferred experience: Previous experience with applications of NLP to financial documents Familiarity with alternative investment accounting needs Experience deploying machine learning models using containerization and orchestration technologies Benefits: Unlimited Vacation Policy+ Sick Time + Holidays Paid Parental Leave Fully Remote Opportunity Healthcare Benefits and 401K Growing Startup Culture #J-18808-Ljbffr

A leading robotics company in California seeks a Lead Engineer for RL Scaling & Procedural Scenario Generation. You will design scalable training pipelines and optimize reinforcement learning systems. Ideal candidates possess a master's degree and over 7 years of experience with AI models in robotics, along with strong Python and C++ skills. This position offers a base salary range of $190k - $230k in the U.S. with opportunities for remote work. #J-18808-Ljbffr

A cutting-edge legal AI startup is seeking a Principal Engineer to lead the development of a production-ready AI platform for venture capital legal workflows. This role involves full-stack feature design using TypeScript, Node.js, and React while building robust pipelines for legal document processing. The ideal candidate has over 8 years of experience, showcasing a full-stack mindset and practical experience with AI integrations. This position offers a competitive salary and the flexibility of remote work. #J-18808-Ljbffr

Senior RTL Design Engineer Remote / work from home US Citizen or US Permanent Resident Full-time/employee + Benefits + 401k + Stock Options Responsibilities: • Participate in architectural feasibility studies • Develop micro-architecture specifications based on the SoC requirements • Design, implement and integrate complex SoC blocks • Develop block-level test cases to deliver fully functional designs • Develop synthesis constraints and resolve timing issues • Resolve Lint, CDC, and DFT related issues • Identify and resolve RTL and GLS failures at block and chip level • Participate in ECO implementation • Assist with silicon bring-up Required Skills & Experience: • BSEE/MSEE with 10+ years of SoC design/architecture experience • RTL Design including HVLs and HDLs (SystemVerilog, Verilog) • Third Party IP Integration experience • Logic synthesis and static timing analysis • SoC design flow including chip-level design, block/IP design and behavioral modeling • Modeling SoC architectures with FPGAs • Working knowledge of standard bus protocols such as AXI/AMBA/TileLink • Experience with RISC-V architecture • Working knowledge of PCIe and DDR • Clock domain crossing methodologies • Scripting languages such as Python, Perl, Tcl, shell, etc. • Strong familiarity with EDA tools • Strong problem solving and debugging capabilities • Working knowledge of SoC design with CHISEL is a plus • Asynchronous logic design is a plus #J-18808-Ljbffr

Regional Application Engineering Leader with FR3 Fluid / Transformer Oil You know transformers inside out - the hum, the heat, the physics behind the oil. But what if your next step wasn't just about keeping systems running, but redefining what powers them? As a Regional Application Engineering Leader, you'll be the go-to expert on FR3 fluid - guiding manufacturers, training end users, and helping shape how the next generation of transformers are built. You'll travel, teach, solve problems, and show why innovation and reliability don't have to clash. Every week brings a new challenge: answering tough questions from the field, collaborating with design engineers, or presenting ideas that move the industry forward. You won't just support change - you'll drive it. What You'll Do Build strong technical relationships with transformer manufacturers and end users. Provide technical training, on-site and virtual, to support commercial and engineering teams. Lead and support technology projects that enhance application and adoption of FR3 fluid. Offer technical expertise for product application and problem-solving. Represent the company at industry events and conferences through papers or presentations. What You'll Bring Bachelor's degree in a related field. 4+ years of related engineering experience. Understanding of insulating liquids and transformer design principles. Experience in power or distribution transformer manufacturing, or customer technical support. Willingness to travel up to 50%. Strong communication and collaboration skills. #J-18808-Ljbffr