Explore 4 senior deep learning algorithm developer jobs from 2 hiring companies in United States. Filter by remote, salary, experience, and company, then open any listing to apply.

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Senior Deep Learning Algorithm Developer

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Senior Deep Learning Algorithm Developer Jobs

NVIDIA

Apple

Hybrid

Onsite

Nvidia

NVIDIA is looking for engineers for our core AI Frameworks (<a href="https://github.com/NVIDIA/Megatron-LM/tree/main/megatron/core" target="_blank">Megatron Core</a> and <a href="https://github.com/nvidia-nemo" target="_blank">NeMo Framework</a>) team to design, develop and optimize diverse real world workloads. Megatron Core and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM) and Multimodal (MM) foundation model pretraining and post-training. Our GenAI Frameworks provide end-to-end model training, including pretraining, reasoning, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience.In this critical role, you will expand Megatron Core and NeMo Framework&#39;s capabilities, enabling users to develop, train, and optimize models by designing and implementing the latest in distributed training algorithms, model parallel paradigms, model optimizations, defining robust APIs, meticulously analyzing and tuning performance, and expanding our toolkits and libraries to be more comprehensive and coherent. You will collaborate with internal partners, users, and members of the open source community to analyze, design, and implement highly optimized solutions.What you’ll be doing:<ul><li>Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing</li><li>Contribute and advance open source <a href="https://github.com/NVIDIA-NeMo/RL" target="_blank">NeMo-RL</a>, <a href="https://github.com/NVIDIA/Megatron-LM/tree/main/megatron/core" target="_blank">Megatron Core</a>, <a href="https://github.com/nvidia-nemo" target="_blank">NeMo Framework</a></li><li>Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment.</li><li>Work at the intersection of compter-architecture, libraries, frameworks, AI applications and the entire software stack.</li><li>Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms.</li><li>Performance tuning and optimizations, model training and finetuning with mixed precision recipes on next-gen NVIDIA GPU architectures.</li><li>Research, prototype, and develop robust and scalable AI tools and pipelines.</li></ul>What we need to see:<ul><li>MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields.</li><li>5&#43; years of industry experience.</li><li>Experience with AI Frameworks (e.g. PyTorch, JAX, Ray), and/or inference and deployment environments (e.g. TRTLLM, vLLM, SGLang).</li><li>Proficient in Python programming, software design, debugging, performance analysis, test design and documentation.</li><li>Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations.</li><li>Strong understanding of AI/Deep-Learning fundamentals and their practical applications.</li></ul>Ways to stand out from the crowd:<ul><li>Hands-on experience in large-scale AI training, with a deep understanding of core compute system concepts (such as latency/throughput bottlenecks, pipelining, and multiprocessing) and demonstrated excellence in related performance analysis and tuning.</li><li>Prior experience with Reinforcement Learning algorithms and compute patterns</li><li>Expertise in distributed computing, model parallelism, and mixed precision training</li><li>Prior experience with Generative AI techniques applied to LLM and Multi-Modal learning (Text, Image, and Video).</li><li>Knowledge of GPU/CPU architecture and related numerical software.</li></ul>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until February 23, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

Senior Deep Learning Algorithm Engineer

MS/PhD or equivalent; 5+ years industry experience; proficiency in Python and AI frameworks (PyTorch, JAX, Ray); experience with model deployment; strong troubleshooting and performance tuning.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA’s autonomous driving solutions. As a member of our perception team, you will work on building world-class 3D obstacle perception solutions based on multi-sensor fusion, including cameras, ultrasonic sensors, and radar, to estimate high-resolution reconstruction of the world, such as occupancy networks. The primary approach will be deep learning. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.What you’ll be doing:<ul><li>Perception experts with application focus will be on multi-sensor fusion based deep learning model development for obstacle perception/fusion in complex driving environments.</li><li>Applied research and development of innovative deep learning and multi-sensor fusion algorithms to improve output accuracy of 3D obstacle perception solutions under challenging and diverse scenarios, with a focus on high-resolution world reconstruction (e.g., occupancy networks).</li><li>Identify and analyze the strength and weakness of the developed 3D obstacle perception solutions using large scale benchmark data (both real and synthetic) and improve them iteratively through KPI building and optimization. This includes careful data verification, model architecture design, understanding details of loss function engineering, and being capable of finding detailed ML bugs and iterating toward perfection.</li><li>Productize the developed 3D obstacle perception solutions by meeting product requirements for safety, latency, and SW robustness, with a strong emphasis on production deep learning model development.</li><li>Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, so that value of data is maximized.</li></ul>What we need to see:<ul><li>10&#43; years of hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).</li><li>Experience in multi-sensor fusion (cameras, ultrasonic sensors, radar) for perception tasks, particularly in high-resolution world reconstruction.</li><li>Proven experience in production deep learning model development, including careful data verification, model architecture design, loss function engineering, and debugging ML models.</li><li>Experience in data-driven development and collaboration with data and ground truth teams.</li><li>Strong programming skills in python and/or C&#43;&#43;.</li><li>Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.</li><li>BS/MS/PhD in CS, EE, sciences or related fields (or equivalent experience)</li></ul>Ways to stand out from the crowd:<ul><li>Experience on end-to-end deep learning model development is a plus.</li><li>Proven expertise in developing perception solutions for autonomous driving or robotics using deep learning with multi-sensor input.</li><li>Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.</li><li>Good understanding of fundamentals of 3D computer vision, camera calibrations including intrinsic and extrinsic, and sensor fusion principles.</li><li>Experience with development in CUDA language. The ability to implement CUDA kernels as part of training or inference pipelines.</li></ul>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until March 14, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Parking Perception DNN Engineer

10+ years in deep learning and algorithms; multi-sensor fusion for perception; production DL with PyTorch; strong Python/C++; data-driven development; collaboration with data teams; BS/MS/PhD in CS/EE/science.

We are now looking for a Senior DL Algorithms Engineer! NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning workloads. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution.  What you will be doing:<ul><li>Implement language and multimodal model inference as part of NVIDIA Inference Microservices (NIMs).</li><li>Contribute new features, fix bugs and deliver production code to TRT-LLM, NVIDIA’s open-source inference serving library.</li><li>Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.</li><li>Benchmark state-of-the-art offerings in various DL models inference and perform competitive analysis for NVIDIA SW/HW stack.</li><li>Collaborate heavily with other SW/HW co-design teams to enable the creation of the next generation of AI-powered services.</li></ul>What we want to see:<ul><li>PhD in CS, EE or CSEE or equivalent experience.</li><li>5&#43; years of experience.</li><li>Strong background in deep learning and neural networks, in particular inference.</li><li>Experience with performance profiling, analysis and optimization, especially for GPU-based applications.</li><li>Proficient in C&#43;&#43;, PyTorch or equivalent frameworks.</li><li>Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.</li></ul>Ways to stand out from the crowd:<ul><li>Proven experience with processor and system-level performance optimization.</li><li>Deep understanding of modern LLM architectures.</li><li>Strong fundamentals in algorithms.</li><li>GPU programming experience (CUDA or OpenCL) is a plus</li></ul>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until February 22, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior DL Algorithms Engineer - Inference Performance

Algorithms Engineer

PhD in CS/EE/CSEE or equivalent, 5+ years in deep learning inference, strong profiling/optimization, proficient in C++ and PyTorch, knowledge of GPU architecture.

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass.Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!You'll have the opportunity to develop models that improve our platform across the board, write production code to generate recommendations, work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You'll drive strategic outcomes through substantial innovation in multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network.You've, or will develop a deep understanding of the ad network behavior, and will work with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You'll lead the conception, development, and delivery of state of the art capabilities that differentiate our products and are core to our business. You should have experience developing and implementing machine learning algorithms, ideally within the ads space. You'll have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a good team player under tight deadline constraints is key to success.<h3>Description</h3>Matching at Ads is a critical component of our Ads funnel and responsible for ensuring that we are retrieving relevant and engaging Ads for our users. We are building the next generation of our retrieval systems to sustain the growth of the business for the future. We are looking for a Machine Learning Engineer that will develop the algorithms for our retrieval system.In this role you will drive step-change improvements in our outcomes, impact our platform revenue and quality of our ads, and formulate approaches to greenfield product opportunities. You will own end-to-end the ideation, development, testing and productization of these algorithms. You will work with complex problems in the ads retrieval space, provide solution that adhere to Apple’s privacy principles, review and contribute to state of the art in research, work with a variety of cross functional teams to ensure the feasibility and robustness of delivering new capabilities. This role will work closely with organizational partners and be expected to present findings across the organization.<h3>Minimum Qualifications</h3><ul><li>4+ years of experience building machine learning capabilities across many different product areas at scale.</li><li>Proven experience in NLP, information retrieval and search.</li><li>Ability to apply and implement research concepts, ultimately in production quality code.</li><li>Experience defining clear, testable research hypotheses, including intended impact on the business.</li><li>Deep understanding of design of experiments, online experimentation approaches, preferably at scale.</li><li>Experience contributing and/or reviewing research for top conferences and publications.</li><li>Master's, or equivalent experience, in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.</li></ul><h3>Preferred Qualifications</h3><ul><li>7+ years of experience building machine learning capabilities across many different product areas at scale.</li><li>PhD, or equivalent experience, in NLP, Machine Learning, Deep Learning, Large Language Model, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.</li></ul>

Senior Machine Learning Engineer - Matching, Apple Ads

Senior Machine Learning Engineer

4+ years in ML/AI with NLP, information retrieval, and production systems; strong API/value impact-focused; deep experiments and state-of-the-art algorithms; Agile team player.

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Senior Deep Learning Algorithm Developer Jobs in United States

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