Machine Learning Engineer Salary at Pix4d Sa BETA

Machine Learning Engineer, Developer Productivity Cupertino, California, United States Software and Services Our team of applied ML scientists and engineers works to enhance the experience and productivity of software developers at Apple and in the Apple developer ecosystem. Our team trains state-of-the-art ML models and applies them in products to solve real-world problems. Were looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you Description Our team designs and builds ML solutions to enhance the software development experience at Apple and within the Apple developer ecosystem. We are a team of applied scientists, infrastructure engineers, and machine learning engineers (like you) who are immersed in the rapidly advancing field of ML, and Natural Language Processing in particular. In this role, you will be responsible for engineering so

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The newly formed Stripe Assistant team aims to build an assistant for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fin

Title: Machine Learning Engineer / Computer Vision Engineer Salary: $220k – $280k Location: San Francisco (1 day a week onsite) We are a cutting-edge palm-based biometrics company at the forefront of developing innovative solutions for secure and efficient identity verification. Our technology leverages advanced machine learning and computer vision techniques to provide accurate and scalable biometric authentication systems. Job Description We are seeking a highly skilled and experienced Machine Learning / Computer Vision Engineer to join our dynamic team. The ideal candidate will have a strong background in biometrics, deep learning, and computer vision. This role requires a blend of theoretical knowledge and practical experience in implementing state-of-the-art ML/CV algorithms. Skills Deep understanding of Convolutional Neural Networks (CNNs) and Siamese Networks, including their architecture and applications in biometrics. Expertise in implementing and optimizing advanced loss func

We seek an experienced Machine Learning Engineer specializing in ML infrastructure and deep learning architecture. In this position, you will be instrumental in creating state-of-the-art deep learning structures and enhancing our ML infrastructure. If you are enthusiastic about pushing the limits of machine learning technology, constructing high-value businesses with advanced algorithms, and are eager to contribute in a dynamic, innovative setting, this is the opportunity you have been anticipating. Responsibilities Deep Learning Architecture: Devise, create, and implement innovative deep learning structures that drive advancements and enhance the effectiveness of our advertising technology. Stay abreast of the latest developments in deep learning research and incorporate them into practical applications. ML Infrastructure Advancement: Spearhead initiatives to improve and scale our ML infrastructure, ensuring its dependability, efficiency, and scalability. Collaborate with cross-functi

Base Pay Range: $124,100.00 - $211,000.00 Annually Primary Location: USA-CA-Milpitas-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearabl

Master the Future of AI: Lead Pretraining as a Research Engineer in Palo Alto, CA What We're Building We're at the forefront of AI innovation, focusing on pretraining models to meet the unique demands of our commercial partners. Our success in developing, aligning, and deploying state-of-the-art models has established a strong foundation. Equipped with ample H100 resources, we've built a robust infrastructure to support best-in-class finetuning and pretraining. Join us to contribute your expertise to a dynamic organization that values innovation and collaboration. About Us As a small, interdisciplinary AI studio, we’ve trained several state-of-the-art language models and built a personal assistant. Our focus is on pretraining and deploying models for specific commercial use cases. We believe that AI represents the beginning of an era of exponential change, and our work reflects this moment of transformation. Our status as a public benefit corporation ensures that we prioritize the well

Elevate AI Performance: Join Us as a Research Engineer in Model Inference! What We're Building: As we embark on a new phase of growth, our focus is on collaborating with commercial partners to adapt and fine-tune our state-of-the-art AI models for their unique business needs. With a strong track record in developing and deploying cutting-edge models in consumer-facing applications, we’re now channeling our expertise into optimizing these models for real-world performance. Join our team and be part of an innovative organization dedicated to pushing the boundaries of AI. About the Role: As a Member of Technical Staff, Research Engineer specializing in inference, you will be at the forefront of optimizing our advanced AI models for efficient and effective deployment in enterprise environments. Your work will involve fine-tuning the inference processes, reducing latency, and enhancing throughput, all while maintaining the highest standards of model performance. You'll play a critical role

Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. With growth as the top priority... The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you're invigorated by our mission, values, and drive to change the world - we'd love to have you apply. About the team + role Robinhood stands at the crossroads of data-driven insights and technological innovation. As a Staff Machine Learning Engineer, you will work closely with application teams and AI practitioners to rapidly build, deplo