1 to 25 of 593 Permanent Algorithms Jobs

in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level) Strong understanding of data structures, data modeling, algorithms, and software architecture. Proficient in probability, statistics, and algorithm development. Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib). (Bonus) Experience with More ❯

of experience OR PhD with industry or research experience in relevant areas Preferred Qualifications Advanced proficiency in Python and C++ Strong knowledge of object-oriented design, data structures, and algorithms Experience in real-time or embedded software development Familiarity with network communication protocols and hardware software integration Hands-on experience with ROS, Linux-based development, and/or real-time More ❯

a spectrum of capital market products. Required Qualifications Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience Strong background in Computer Science fundamentals including algorithms, data structures, computational complexity. Non-Technical Skills Excellent communication skills and teamwork is a must Experience collaborating efficiently within a global team. Demonstrable experience in fast-paced environments, supporting flexible More ❯

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products More ❯

experienced Senior Applied Machine Learning Engineer to drive the development and integration of AI-driven solutions within our platform. This role involves leveraging existing AI models and creating custom algorithms to optimize procurement processes, enhance decision-making, and deliver actionable insights for our users. Key Responsibilities: Design, develop, and deploy machine learning models tailored to solving challenges faced by many More ❯

to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and More ❯

to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and More ❯

Overview Complexio's Foundational AI works to automate business activities by ingesting whole company data - both structured and unstructured - and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia and Símbolo More ❯

solving ability. Understanding of Agile development methodology. Experience with space domain awareness, satellite operations, or space operations. Key Responsibilities Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities. Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

Keras, or Scikit-learn. Familiarity with data processing tools (e.g., Pandas, NumPy). Knowledge of AI model deployment and cloud services (AWS, Google Cloud, Azure). Solid understanding of algorithms and data structures. Excellent analytical skills and problem-solving capability. Strong communication skills to work effectively with team members and stakeholders. About Us We specialize in Digital, ERP, and larger More ❯

significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered More ❯

drive continuous improvement.Desirable Extensive experience of developing complex modelling applications in an underwriting environment Working knowledge and experience of Python - developing applications for pricing and modelling to implement pricing algorithms; Cloud development + Familiarity with Docker and Kubernetes. + Proficiency in AWS or Azure; Knowledge of design patterns and able to implement where appropriate; Working knowledge of software delivery and More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

visualizations and actionable insights. Ability to communicate end-to-end data outcomes visually to both technical and non-technical audiences. Demonstrates a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques. Strong understanding of SQL and experience querying relational databases. Comfortable in a project startup environment, demonstrating adaptability and initiative. US Citizenship and an active TS/ More ❯

and complex datasets (structured, semi-structured, unstructured) to derive features and insights, applying advanced ML/AI techniques (deep learning, NLP, CV, generative models, reinforcement learning) as appropriate.Choose appropriate algorithms and frameworks (supervised, unsupervised, deep neural networks, transformer architectures, etc, implement, fine-tune and optimize for latency, throughput, cost, accuracy, and bias/robustness.Deploy solutions into production in cloud and More ❯

Bachelor's or Master's degree in computer science, AI, machine learning, mathematics, data science or a related field; a PhD is a plus. Strong understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with selecting and adapting existing models for new problems. Proficiency in relevant programming languages (Python and C++ preferred). Solid More ❯

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. The Senior More ❯

containers (Docker, Kubernetes) and experience with cloud platforms such as GCP, Azure or AWS. Strong experience working with Kafka technologies. Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts. Good understating of cloud storage, networking, and resource provisioning It would be great if you had... Certification in GCP "Cloud Architect", "Cloud More ❯

with cross-functional teams to deliver on deadlines Write high-quality code aligned with product requirements that actually protects people's privacy Build web applications, RESTful APIs, and efficient algorithms that handle millions of privacy requests Lead feature implementation and redesign complex interfaces that make privacy compliance intuitive Optimize application performance, security, and browser compatibility for enterprise-scale deployments Work More ❯

experienced engineers, works independently and in collaboration with others on multiple projects which are complex in scope. This role applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of More ❯

Required Qualifications · Associate degree in Computer Science, Engineering, or related field. · 7+ years in software/infrastructure engineering with observability/logging focus. · Strong foundation in operating systems, networking, algorithms, and distributed systems. · Expertise in: o Programming (eg. Python, .Net, Java, Go, ) o System architecture and AI Ops o CI/CD (eg. GitHub Actions, Azure DevOps) o Infrastructure as More ❯

on your resume: BS/MS degree in Computer Science or closely related field. 3-5 years of functional programming (preferably Clojure) Strong CS skills such as data structures, algorithms, and problem solving. Build and CI tools such as git, Gradle, Leiningen, Clojure deps, CircleCI or Jenkins. Solid familiarity with Linux based operating systems such as CentOS or RHEL. Solid More ❯