26 to 47 of 47 Remote Reinforcement Learning Jobs

LLMs and GenAI. • Perform feature engineering and selection to optimize model performance. • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. • Train, evaluate, and optimize models using machine learning techniques. • Deploy models to production environments, ensuring robustness and scalability. • Monitor model … in AI/ML development. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). • Proficiency in Python, R, or other relevant programming languages. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn … invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from think tanks to hackathons, and access to 250,000 courses with More ❯

skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or Stateflow, Python … filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian … inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be considered for the More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and More ❯

hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your … our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. Manage, coach and … agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics More ❯

also safe, adaptable, and scalable within dynamic production environments. Responsibilities: AI Integration: Lead the deployment and integration of advanced AI models (such as machine learning, computer vision, and reinforcement learning) into robotic systems to enhance decision-making, task execution, and adaptability in real-world manufacturing environments. System … automation, or AI-driven systems deployment, preferably in a manufacturing or industrial setting. Experience in integrating AI models into robotic systems (robot control, machine learning, computer vision, etc.). Additional Skills/Preferences: Experience with novel safety verification methods and risk analysis for autonomous or semi-autonomous systems is More ❯

interaction with the team and stakeholders, but we will consider applicants with remote work requirements as well. BASIC QUALIFICATIONS PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data (or equivalent experience). Excellent written and verbal communication skills. Experience … applied research environment. Ability to handle ambiguity. Top tier publications pertinent to the field of study. KEY JOB RESPONSIBILITIES Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead … programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right More ❯

Description Gridiron IT is seeking a talented and innovative AI Developer with deep expertise in AI writing technologies, Large Language Models (LLMs) and machine learning to join our growing team. This individual will play a key role in building intelligent applications and tools that leverage cutting-edge natural language … AI-powered writing tools and applications using large language models. Fine-tune pre-trained LLMs to meet specific domain and user needs. Develop machine learning models for language understanding, generation, and personalization. Collaborate with data scientists, product managers, and engineers to integrate AI functionality into new and existing platforms. … Evaluate and improve model performance, accuracy, and safety. Research and apply new methods in natural language processing, reinforcement learning, and prompt engineering. Ensure ethical use of AI and alignment with privacy, security, and compliance requirements. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Artificial More ❯

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard … data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental More ❯

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard … data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental More ❯

experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are … safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts … if it goes outside your job description. Care about the impacts of AI. Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety. Have experience with LLMs. Have experience with reinforcement learning. Have experience with Kubernetes clusters and complex shared codebases. Candidates More ❯

web pages. Familiarity with web scraping frameworks like Puppeteer or similar framework On device AI model optimization and quantization Desired Skills & Experience: Experience in Reinforcement Learning is a plus Experience with integrating large language models (LLM), finetuning on LLM/VLLM, self-hosting LLMs and on-device (edge More ❯

is organized, and train language models to optimally use those architectures. Responsibilities: Designing and implementing from scratch new information architecture strategies Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures Building hard knowledge base eval sets to help identify failure modes … if you: Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using Have good machine learning research experience Have experience developing software that utilizes Large Language Models such as Claude Are results-oriented, with a bias towards flexibility and impact … 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 More ❯

Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined! As a Principal Machine Learning Engineer in the AI Search & Discovery Group, you’ll play a critical role in scaling the ML foundations that power Algolia’s relevance, ranking … in their own areas of excellence. You might be a fit if you: Have a strong engineering background with extensive experience in applied machine learning or deploying ML systems in production. Have led the design and deployment of models or pipelines in one or more of: search, recommendation, personalization … both through systems you build and people you support. Ideally you would also have: Experience with real-time ranking systems, retrieval-augmented generation, or reinforcement learning for recommendations. Familiarity with modern ML Ops stacks, including feature stores, offline/online evaluation tooling, and distributed inference. Experience in cross More ❯

Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined! As a Principal Machine Learning Engineer in the AI Search & Discovery Group, you’ll play a critical role in scaling the ML foundations that power Algolia’s relevance, ranking … in their own areas of excellence. You might be a fit if you: Have a strong engineering background with extensive experience in applied machine learning or deploying ML systems in production. Have led the design and deployment of models or pipelines in one or more of: search, recommendation, personalization … both through systems you build and people you support. Ideally you would also have: Experience with real-time ranking systems, retrieval-augmented generation, or reinforcement learning for recommendations. Familiarity with modern ML Ops stacks, including feature stores, offline/online evaluation tooling, and distributed inference. Experience in cross More ❯

Algolia powers 1.5 Trillion searches a year – that’s 4 times more than Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined! As a Principal Machine Learning Engineer in the AI Search & Discovery Group, you’ll play a critical role in scaling the ML foundations that power Algolia’s relevance, ranking … in their own areas of excellence You might be a fit if you: Have a strong engineering background with extensive experience in applied machine learning or deploying ML systems in production. Have led the design and deployment of models or pipelines in one or more of: search, recommendation, personalization … both through systems you build and people you support Ideally you would also have: Experience with real-time ranking systems, retrieval-augmented generation, or reinforcement learning for recommendations Familiarity with modern ML Ops stacks, including feature stores, offline/online evaluation tooling, and distributed inference Experience in cross More ❯

strong background in the mathematics, statistics and computational techniques which underpin AI/ML. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networkss; AI for RF and EW, radar, sonar, acoustics, AI for image and … interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. More ❯

proposals to secure external sponsorships. What We’re Looking For: Ph.D. (or equivalent experience) in AI, ML, robotics, or related fields. Expertise in manipulation, reinforcement learning, motion planning, and perception. A track record of conducting research and publishing in top-tier AI/ML conferences and journals. Proficiency More ❯

proposals to secure external sponsorships. What We’re Looking For: Ph.D. (or equivalent experience) in AI, ML, robotics, or related fields. Expertise in manipulation, reinforcement learning, motion planning, and perception. A track record of conducting research and publishing in top-tier AI/ML conferences and journals. Proficiency More ❯

the engineering team. Your Role: Research and develop innovative software solutions in the Defence domain, such as distributed middleware, software-defined networks, AI applications, reinforcement learning, etc., to address customer problems. Define and develop software solutions in architecture terms, including system boundaries, data flows, workflows, system layouts, and More ❯

procedures, and best practices related to identity management, biometrics, facial recognition, and/or image quality. Experience with artificial intelligence (AI), to include machine learning, neural networks, and natural language processing (NLP), computer vision, or deep reinforcement learning. Experience in project management, including budgeting, scheduling, and resource allocation. More ❯