226 to 250 of 252 Deep Learning Jobs

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … offline models that improve data quality and coverage at scale.ð You should apply if:You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view ...

adopt AIConduct live AI demonstrations that showcase how our technology conducts intelligent, adaptive interviews - not scripted questionnairesArticulate the AI advantage - explain how our deep learning models, natural language processing, and adaptive algorithms deliver better hiring outcomes.Manage the full sales cycle from initial contact through close for small … next decade of enterprise softwareAccelerated career growth - high performers advance quickly; we promote from withinWorld-class training - comprehensive onboarding on AI fundamentals, product deep-dives, and sales methodologyCollaborative, in-office culture - learn from peers, participate in live demos, and build relationships in our Santa Clara officeCompetitive compensation - base salary ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars … from the crowd:Hardware Implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures.LLM Knowledge: Deep understanding of Large Language Model (LLM) inference and its profound implications on computer architecture.Architecture & Design: Demonstrated understanding in the designing and architecting of comprehensive compiler ...

kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experienceMust have two or more years work experience building deep learning systems, for any domain: robotics, biology, chemistry, physics, audio, video, recommendations, etc.Experience translating methods between areas of application is highly valuedLLM experience ...

from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.QualificationsMust have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.Experience translating methods between areas of application is highly valued.LLM experience ...

designing or operating agent-based automation for CI, QA, or code-generation workflowsBackground in Rust or another systems language; interest in ML/applied deep learningContributions to open-source Python or CLI toolingAdditionally, this position is eligible for benefits including, but not limited to, medical, dental, vision, retirement benefits ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleWe’re looking for a Senior Machine Learning Engineer to join a high-ownership team responsible for delivering production-ready model releases as our OEM engagements and release cadence accelerate. This ...

well-funded, high-growth UK deep-tech organisation is seeking a Principal AI Architect to lead a flagship initiative focused on next-generation AI compute infrastructure. The company collaborates with major industry partners, research institutions, and public bodies to accelerate large-scale AI deployment. As models scale rapidly, understanding … long-term technical roadmap for an enterprise-grade performance modeling platform Systems Integration: Bridge the gap between semiconductor hardware engineering, systems software, and deep learning model workloads Engineering Standards: Establish validation methodologies and high-performance engineering standards across multiple technical teams Executive Liaison: Serve as the chief technical ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars ...

invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars ...

Datadog and PagerDuty Built on a foundation of open source — the team maintains a widely-used community observability tool Leadership includes former builders of deep learning infrastructure, autonomous drone systems, ridesharing marketplaces, and ad tech at scale A genuinely global remote-first culture, with hubs in New York ...

hypotheses in parallel, identify signal early, and focus on outcomes rather than exploration for its own sake.What we’re looking forMust-haveStrong experience training deep learning models at scaleStrong Python and PyTorch skillsHands-on experience with diffusion models (image domain required; video preferred)Experience with large scale multi ...

/11/11/word-embeddings-for-fashion/)72k crowd-sourced labels generated per day40k product gender classifications per day via deep learning500k recommended products per day120 EC2, 8 RDS, 7 ElastiCache and 10 Redshift instancesour internal analytics system collects ~100M data points/day...and a team ...

/11/11/word-embeddings-for-fashion/)72k crowd-sourced labels generated per day40k product gender classifications per day via deep learning500k recommended products per day120 EC2, 8 RDS, 7 ElastiCache and 10 Redshift instancesour internal analytics system collects ~100M data points/day...and a team ...

ownership of the infrastructure that powers the AI training. This is not a conventional infrastructure role. You will work at the intersection of machine learning, distributed systems, cloud computing and robotics, building the platforms that enable cutting edge research to become production-ready technology. You may need to build … modern AI, influencing the technical direction of the company from an early stage. Engineers may come with experience building high-performance infrastructure for machine learning or other compute-intensive workloads. You may have worked in AI infrastructure, platform engineering, high performance computing or a related field. Experience with distributed ...

Azure, Google Cloud) and deploying AI solutions in cloud environments.Technical Skills: Proficiency in programming languages such as Python, Java, or C++.Strong understanding of machine learning algorithms, deep learningFull-Time ...

spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees … clients on AI best practices, ensuring delivery of scalable and efficient solutions.Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI).Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure ...

Helmholtz-Zentrum Hereon The Helmholtz-Zentrum Hereon conducts cutting-edge international research for a changing world: Around 1,000 employees contribute to the tackling of climate change, the sustainable use of the world's coastal ...

storage architectures, power and cooling systems, and the platforms that tie them together. As eleven-time NVIDIA Partner of the Year for AI and Deep Learning, WWT brings unmatched depth in AI infrastructure at enterprise scale.The OpportunityThis is the most senior client-facing technical role … demand for WWT’s capabilities, and ensuring that WWT is positioned as the indispensable partner for every major AI infrastructure investment in EMEA.You combine deep technical credibility with commercial instinct and boardroom presence.What You’ll Do• Provide C-suite advisory on AI infrastructure strategy: GPU compute investment, data centre ...

continued development of a range of technologies, a scientific technology development company, based in Cambridge, are currently looking for a skilled and experienced Machine Learning Expert who will be able to apply a unique Machine Learning approach on life improving technologies.In the past you would have applied your … Machine Learning techniques to a range of different applications. These could include deep neural networking, statistical signal processing, artificial intelligence, data science, machine learning or other complex fields.As you will be applying your development skills to a number of areas, we are happy with your software skills ...

world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.What … work with other teams within Sony Interactive EntertainmentWhat we’re looking for:PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post5+ years of experience in demonstrable ...

client. Our client is a is a recently founded technology business that seeks to improve the way projects are delivered, using the power of deep learning. They are funded by well known names in the PE space. My client is all about making construction more predictable via a comprehensive … understanding of plan outcomes, and a crucial part of that is being able to deliver deep insights for very large construction schedules. They’re working on some of the largest infrastructure projects in the world, which means having the opportunity to have true impact on the world around us. ...

retention.6. Collaborate with the Engine/Agent teams to define standardized interfaces for controllable signals.7. Drive the joint optimization of controllable generation and Reinforcement Learning post-training.Who We Look For1. Ph.D. in AI-related fields, focusing on Computer Vision/Deep Learning.2. Proficient in conditional generation models ...

Engineering – PythonOur client is a is a recently founded technology business that seeks to improve the way projects are delivered, using the power of deep learning. They are funded by well known names in the PE space.My client is all about making construction more predictable via a comprehensive understanding … plan outcomes, and a crucial part of that is being able to deliver deep insights for very large construction schedules. They’re working on some of the largest infrastructure projects in the world, which means having the opportunity to have true impact on the world around us.The environment ...