401 to 425 of 970 Algorithms Jobs

/ML applications and collaborate with our back-end team to integrate seamlessly into the platform. Experimentation & Research: stay current with the latest AI/ML techniques, test new algorithms and tools, and improve upon existing approaches. Collaboration: work closely with product, data, and engineering teams to deliver high-impact, customer-facing features. What you'll bring 2-5 years More ❯

foundation development. Responsibilities Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200). Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data. Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame More ❯

think deeply about a business problem and devise a well-thought-out and pragmatic algorithmic solution. And you get satisfaction from working with non-technical stakeholders and seeing your algorithms shipped and driving measurable impact to the business. Requirements 3+ years' experience as a ML Engineer or Data Scientist Ability to produce accurate forecasts across multiple business domains accounting for More ❯

is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet More ❯

is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet More ❯

is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet More ❯

and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia. Responsibilities: Design, develop, and implement machine learning models and algorithms to solve specific business problems. Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. Transform machine learning models into … and infrastructure. Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions. Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems. Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability. Monitor and maintain deployed models … production environment. Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc. Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures). Experience with data preprocessing, feature engineering, and data visualization techniques. Familiarity with data storage and processing technologies (e.g., SQL, NoSQL More ❯

leverage data-driven insights to support strategic decision-making, enhance customer experience, and drive innovation in banking products and services. Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such as credit risk, fraud detection, customer segmentation, churn prediction, and personalization. Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python More ❯

leverage data-driven insights to support strategic decision-making, enhance customer experience, and drive innovation in banking products and services. Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such as credit risk, fraud detection, customer segmentation, churn prediction, and personalization. Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python More ❯

Job Description: Develop defensive algorithms against adversarial ML attacks (data poisoning, model inversion, evasion attacks). Conduct red teaming of AI/ML models to simulate real-world exploitation scenarios. Build explainable AI (XAI) frameworks ensuring transparency and fairness. Implement secure MLOps pipelines with compliance to the NIST AI Risk Management Framework. Research emerging threats in Generative AI, LLM security More ❯

major. Degree Type: Degree in Computer Science or related fields (Engineering, Mathematics) may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics). Experience: (U) Relevant experience must be in More ❯

system reliability. Requirements: 3+ years building high-performance trading systems, ideally in systematic equities. Strong coding skills in C++ or C#, with Python for research integration. Deep understanding of algorithms, databases, and distributed systems. Experience with market data handling, exchange connectivity, and real-time systems. Excellent communication and problem-solving skills. This is a unique opportunity to take ownership of More ❯

Tasks & Responsibilities Analyze data sets to identify trends and patterns. Develop and implement machine learning models. Collaborate with cross-functional teams to understand business needs. Evaluate and select appropriate algorithms for specific tasks. Clean and preprocess data for analysis. Conduct research on emerging AI technologies. Build predictive models for decision support. Design experiments to test hypotheses and refine models. Create More ❯

complex equity derivatives and volatility indices. Blend of cutting-edge quantitative research with production-grade engineering - you'd be designing macro time series frameworks for backtesting while implementing calibration algorithms for exotic products. This role requires 4 days onsite in Central London. Required Skills: - Excellent C++ programming skills - you will be working on modern versions of the language producing clean More ❯

science/engineering or 5+ years of equivalent experience in related disciplines o Hands on Application development experience within JavaCard/HCE domain. (MUST) o Working experience with cryptographic algorithms like 3DES, AES, RSA, ECC etc. (MUST) o Deep understanding of Global Platform card content management and key management processes (MUST) o Knowledge of EMV Common Personalization Specification and processes. More ❯

system reliability. Requirements: 3+ years building high-performance trading systems, ideally in systematic equities. Strong coding skills in C++ or C#, with Python for research integration. Deep understanding of algorithms, databases, and distributed systems. Experience with market data handling, exchange connectivity, and real-time systems. Excellent communication and problem-solving skills. This is a unique opportunity to take ownership of More ❯

system reliability. Requirements: 3+ years building high-performance trading systems, ideally in systematic equities. Strong coding skills in C++ or C#, with Python for research integration. Deep understanding of algorithms, databases, and distributed systems. Experience with market data handling, exchange connectivity, and real-time systems. Excellent communication and problem-solving skills. This is a unique opportunity to take ownership of More ❯

complex equity derivatives and volatility indices. Blend of cutting-edge quantitative research with production-grade engineering - you'd be designing macro time series frameworks for backtesting while implementing calibration algorithms for exotic products. This role requires 4 days onsite in Central London. Required Skills: - Excellent C++ programming skills - you will be working on modern versions of the language producing clean More ❯

FPGA development in VHDL PCB design and layout software development in embedded C/C++. The candidate will be responsible for: simulating and implementing signal, image, or data processing algorithms in VHDL for FPGAs designing PCBs using FPGAs, SoCs, high speed network interfaces and analogue/RF signal filtering performing schematic capture using OrCAD managing PCB layout, fabrication and assembly More ❯

changes to Fire Control software. Software will be developed using Agile methodology and the Client-3 development process. Most newer Fire Control software is written in C++ however some algorithms are still written Ada, hence knowledge of C++ is required while knowledge of Ada would be beneficial. Experience with RTI DDS is a plus, as is developing for a Linux More ❯

for an AI/ML Modeler/Engineer SME to develop machine learning models that optimize automation and generate data-driven insights. This role involves testing model performance, refining algorithms, and monitoring AI-driven systems in production. If you are passionate about AI innovation and solving complex problems-this opportunity is for you. RESPONSIBILITIES: Develop machine learning models to enhance More ❯

science into software tools. Analyze geological and mining data to extract patterns and generate insights. Combine drilling data with traditional rock properties to enhance subsurface understanding. Apply machine learning algorithms to geological datasets. Support data-driven decision-making in geological and mining operations. Leverage spatial data analysis to improve geological interpretations. What We're Looking For: Proven experience in data More ❯

related to trading activities, using a range of data science, analysis, and engineering skills. Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration. Partnering with researchers in the research development process, and take on coding tasks that optimise research project delivery. This role offers a unique More ❯

related to trading activities, using a range of data science, analysis, and engineering skills. Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration. Partnering with researchers in the research development process, and take on coding tasks that optimise research project delivery. This role offers a unique More ❯

related to trading activities, using a range of data science, analysis, and engineering skills. Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration. Partnering with researchers in the research development process, and take on coding tasks that optimise research project delivery. This role offers a unique More ❯