301 to 324 of 324 Machine Learning Engineer Jobs

technology that reaches patients directly and shapes how medicine is practised, this is where that work happens. The role As an ML Platform Engineer at Panakeia, you will sit at the critical junction of research, engineering and product delivery. You will be responsible for designing, implementing and maintaining … multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both technical and executive stakeholders. Key Responsibilities Design, implement and evolve a multi-omics AI platform, incorporating ...

looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing ...

looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing ...

Markets is a leading algorithmic trading firm which uses state‐of‐the‐art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities, and crypto. It uses those forecasts to trade on exchanges and alternative trading venues … evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over ...

systems that scale, accelerate discovery and support innovation across the firm.Take the next step in your career.The roleWe are seeking an exceptional ML Performance Engineer to optimise large-scale workloads across our GPU and CPU infrastructure.This is a hands-on, impactful role. You will design and implement techniques that … develop reference solutions.Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation.Key responsibilities of the role include:Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions.Profiling, benchmarking ...

accelerate discovery and support innovation across the firm. Take the next step in your career. The role We are seeking an exceptional ML Performance Engineer to optimise large-scale workloads across our GPU and CPU infrastructure. This is a hands-on, impactful role. You will design and implement techniques … develop reference solutions. Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation. Key responsibilities Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling, benchmarking ...

Описание Wise is a global technology company building a way to move and manage money worldwide. It enables international transfers, spending abroad, and international payments for people and businesses. Задачи Own the evolution of ML ...

Описание Faculty is an AI company established in 2014 that helps global customers transform their performance through human-centric AI. It develops and deploys responsible AI solutions for clients across government, finance, retail, energy, life ...

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 … worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. ...

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 … worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. ...

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 … engineers to set performance targets and make the case with data. About you In order to set you up for success as a Software Engineer, AI Performance Tooling at Wayve, we’re looking for the following skills and experience. Essential Deep, hands-on performance engineering in complex systems: profiling ...

efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity ...

Synthesia is hiring a Senior ML Engineer to build the AI engine that powers coaching in our Roleplay Sessions. You will develop the models that listen to learners, score performance, generate real-time feedback, and drive avatar responses. This is an applied ML role, balancing product focus with strong ...

efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down ...

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:Creating custom AI applications that will impact millions of citizensGenerating high-quality training data ...

Teamwork makes the stream work.Roku is changing how the world watches TVRoku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in ...

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 geometry ...

values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform.As a Staff ML/AI Engineer, you'll operate across multiple product and platform teams - diving deep into selected ones to help them achieve great results with AI and ML. … decisively when the path forward is unclear.You should apply if...You have deep expertise across a range of ML techniques (e.g. Transformer-based NLP, Deep Learning, Tree-based methods, Bayesian modelling) and the judgment to select solutions that balance theoretical soundness against engineering practicality.You have a proven track record ...

hackajob is partnering directly with BlackRock to hire for this role. About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefinewhat'spossible in asset ...

hackajob is partnering directly with BlackRock to hire for this role. About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefine what's possible ...

hackajob is partnering directly with Kingfisher to hire for this role. Were Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico ...

with, and influence, technical and non‐technical people A passion for end‐to‐end ownership of solutions, from articulation to delivery Proven ability to engineer high‐quality software Effective decision‐making, with a focus on the mid to long term Value‐oriented and able to independently prioritise Finance experience ...

develop algorithms and optimizations for our LPX inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative!What … development, including IR design, optimization passes, or code generation.Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations.Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX.Solid understanding of parallel and heterogeneous compute architectures, such ...

collaborate with, and influence, technical and non-technical peopleA passion for end-to-end ownership of solutions, from articulation to deliveryProven ability to engineer high-quality softwareEffective decision-making, with a focus on the mid to long termValue orientated and able to independently prioritiseFinance experience is not necessary ...