326 to 350 of 802 Permanent Algorithms Jobs

AI research and project management/project delivery • AI frameworks and tools, such as TensorFlow, PyTorch, or similar technologies • Artificial Intelligence (AI) and Machine Learning (ML) technologies, including various algorithms, neural networks, deep learning, natural language processing (NLP) etc • Legal and regulatory requirements applicable to the financial services industry, such as GDPR, Data Sharing, CCPA, or specific financial regulations • Relationship More ❯

Analysts Level 4 Bachelor Degree with 11 years of experience. Other degrees 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). Certifications: 18 semester hours of military training More ❯

must be in Computer Science or related fields (Engineering, Mathematics) Other degrees 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). Perks and Benefits: 8 weeks paid leave More ❯

agent performance tracking Create robust authentication and authorization systems for agent access Data & Knowledge Management: Design and implement RAG (Retrieval-Augmented Generation) systems Optimize vector embeddings and similarity search algorithms Build knowledge graph integration for enhanced agent reasoning Implement efficient caching and data persistence strategies Required Technical Skills: Core AI/ML Frameworks Expert-level proficiency with LangGraph for agent More ❯

standards, ensuring that all technology and AI change initiatives adhere to these requirements. Oversee the ethical implementation of AI, ensuring that concerns regarding bias, fairness, and transparency in AI algorithms and decision-making are appropriately addressed. Provide regular reports and updates to senior management and relevant stakeholders regarding technology risk management activities, including identified risks and mitigation strategies. Maintain relationships More ❯

automation. On the SRE team, you'll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide More ❯

solutions, including Snowflake. Understanding of personalization for various domains, including sports betting and gaming, where it might add value and what best practices look like. Full understanding of recommendation algorithms and their applications. Professional experience in personalization and/or predictive CRM, and micro-segmentation. Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools (Terraform, Bicep, etc. More ❯

in Python or equivalent languages. Contribute to design, implement, and maintain automated test frameworks for embedded systems. Support in maintaining existing tooling, automation, and simulation code. Develop test equipment, algorithms, and methodologies to validate designs and provide feedback for design iterations. Use tools like Wireshark, Drewlinq, serial loggers, oscilloscopes, and power analyzers to verify data flow and system stability. Analyze More ❯

conversion YOLO object detection frameworks Core Python Skills Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns Data structures and algorithms for efficient data processing and model optimization Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing Pandas and NumPy for data manipulation, cleaning, and numerical More ❯

into initial design of software products Supports with development, maintenance, enhancement and optimization of software products and functionalities for systems integrations Support development, documentation and maintenance of architectures, requirements, algorithms, interfaces and designs for software products Support with debugging and resolution of issues identified to ensure the reliability and efficiency of software products Troubleshoot technical issues Assists to develop, establish More ❯

this opportunity, and if so, make an application asap. To be successful as a Risk Plaform .Net Developer, you should have: Strong experience of .NET programming, data structure and algorithms Interaction with webservices (REST/WCF) Familiarity with databases (MS SQL) and optimisation of queries Previous experience in financial services Some other highly valued skills may include: Degree in engineering More ❯

industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch or similar libraries. Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling. Strong foundation in biology, biochemistry, and/or biophysics, with a clear understanding of molecular biology More ❯

millions of items without requiring human input to delight our customers. As part of this effort you will define the multi-year vision for building out Pricing systems and algorithms that work in less than ideal data conditions, in nascent market segments and in places where substitutes are rampant but hard to find. You will work with research scientists, economists More ❯

/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 ❯

leadership to develop, integrate, and maintain real-time embedded applications. Typical applications are software products related to image processing, target detection and tracking, missile guidance/navigation/control algorithms, missile launchers, system control, built-in test, and system communication. The selected candidate will work with an Agile Scrum team using a Linux Operating system running on multi-core or 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 ❯