226 to 250 of 4,490 Algorithms Jobs

coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as … elementary or basic do not count. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time More ❯

techniques along with performing statistical analyses leading to the understanding of the structure of data sets. Proven and demonstrable experience with at least three of the following machine learning algorithms: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization. Experience working with Java and Python, and strong understanding of data … structures, algorithms, and software design patterns. Experience with AI and Gen AI frameworks (e.g., TensorFlow or PyTorch). Experience with at least one cloud-based platform (e.g., AWS SageMaker or Azure Machine Learning). Adept at translating business problems into solution statements. Strong communication skills and bilingualism/multilingualism are highly desirable. Open for travel (50% — national and international travel More ❯

data engineering team. Uncover novel biological insights into disease, spanning complex and rare diseases, and develop methods to validate new drug targets. Evaluate the scientific and technical integrity of algorithms and tools within the analysis pipeline. Work closely with discovery and development teams to integrate genomic and histology imaging analysis. Communicate findings effectively to both technical and non-technical audiences. … Key Qualifications: PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioinformatics, or a related quantitative field. Strong programming skills with a solid understanding of algorithms and data structures. Proficiency in Python with hands-on experience using open-source ML frameworks such as scikit-learn, PyTorch, TensorFlow, or Keras. Extensive experience with Machine Learning and Deep Learning models (e.g., tree More ❯

selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline’s extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and … Nice to have Hands-on building large-scale reinforcement learning solutions for content recommendation Experience with transport industry Experience with cloud infrastructure Experience with graph technology and/or algorithms Have experience with NLP, designing, fine-tunning and developing GenAI models and building agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM More ❯

is a plus) 2+ years of professional experience as in C++ Development Modern C++ programming experience in C+/20 or above Knowledge of design patterns, data structures and algorithms Ability to write efficient, high performing code. Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in a fast-paced environment Detail More ❯

assessment. We also build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows. About the Role: As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of … with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL. Solid understanding of algorithms, statistics, and data structures. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g. Git). Familiarity More ❯

to Portfolio and Risk Managers Required skills/experience: Strong analytical and mathematical skills, with interest and/or exposure to quantitative finance Good understanding of various design patterns, algorithms, and data structures Substantial experience with modern Java Experience with REST APIs and cloud services Relational SQL database development experience Unix/Linux command-line experience Ability to work independently More ❯

assessment. We also build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows. About the Role: As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of … with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL. Solid understanding of algorithms, statistics, and data structures. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g. Git). Familiarity More ❯

qualification is a plus) 2+ years of professional experience in C++ Development Modern C++ programming experience in C++17/20 or above Knowledge of design patterns, data structures, and algorithms Ability to write efficient, high performing code Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in a fast-paced environment Detail More ❯

Our massively scaled out distributed systems process hundreds of millions of updates on the billions of products across physical, digital, and services offerings. To achieve this, we develop the algorithms and build the systems and tools to ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. … Our massively scaled out distributed systems process hundreds of millions of updates on the billions of products across physical, digital, and services offerings. To achieve this, we develop the algorithms and build the systems and tools to ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. More ❯

JavaScript is preferred. Experience with AI/ML frameworks and libraries is a significant asset. Production experience with Cloud and ML technologies Experience working in the below areas and algorithms will be ideal but not mandatory: Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation Algorithms: Transformer models, Attention mechanism, Prompt More ❯

Transformers, graph neural networks) in real-world applications. Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering … Collaborative Attitude: You value cross-functional teamwork and can pivot between researcher mode and software engineer mode depending on the task at hand. Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same. What We Offer Equity Package: Meaningful ownership stake, commensurate with an early leadership role. Competitive Compensation: Salary More ❯

Transformers, graph neural networks) in real-world applications. • Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). • Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). • Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). • Solid understanding of data-engineering … Collaborative Attitude: You value cross-functional teamwork and can pivot between “researcher mode” and “software engineer mode” depending on the task at hand. • Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same. ⸻ What We Offer • Competitive Compensation: Salary aligned with early-stage startup benchmarks; a large portion of the More ❯

tailored quantum computing solutions. Develop quantum, or hybrid quantum-classical, software or applications for clients, as a lead member of a broader delivery team. Design, implement and optimize quantum algorithms for real-world challenges across industries. Collaborate with cross-functional teams to integrate quantum technologies into existing client infrastructures. Stay abreast of quantum computing advancements – across hardware, software, and regulation … to both industry and research environments Advanced knowledge of quantum mechanics and quantum computing principles Proficiency in quantum programming languages such as Qiskit, Cirq, or Q# Proficiency in quantum algorithms, quantum error correction, and fault-tolerant quantum computing Cybersecurity awareness, especially around threat modeling, encryption standards, and quantum-safe protocols Experience in quantum software development and optimization In-depth understanding More ❯

domain experts to capture critical business requirements, and lead efforts to gather, transform, and prepare data for model training and deployment. Evaluate, implement, and refine state-of-the-art algorithms-including foundational language models, object detection/classification, and time series analysis-to tackle advanced enterprise challenges. Ensure strict adherence to enterprise standards for metadata management, governance, and security, integrating … Agile project delivery, including sprint planning, task tracking, and collaboration using Jira (or similar agile tool), ensuring timely and high-quality deliverables. Advanced knowledge of state-of-the-art algorithms, with a demonstrated ability to match technique selection to complex domain-specific use cases. Demonstrated capability to optimize models for performance, scalability, and low latency in production settings, employing rigorous More ❯

Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking More ❯

Transformers, graph neural networks) in real-world applications. Proficiency in Python and core ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face, etc.). Strong software engineering background: data structures, algorithms, distributed systems, and version control (Git). Experience designing scalable ML infrastructure on cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering … Collaborative Attitude: You value cross-functional teamwork and can pivot between “researcher mode” and “software engineer mode” depending on the task at hand. Growth-Oriented: You continually learn new algorithms, architectures, and engineering best practices; you encourage team members to do the same. ⸻ What We Offer Equity Package: Meaningful ownership stake, commensurate with an early leadership role. Competitive Compensation: Salary More ❯

backend trends and assess new technologies. What We’re Looking For: • 3–5 years of backend development experience • Strong analytical skills with a proven ability to implement sophisticated mathematical algorithms in backend systems • Advanced programming skills with strong knowledge of object-oriented concepts, design patterns, SOLID principles and multi-tier architectures • Solid understanding of modern software engineering practices (Agile, version More ❯

years’ working experience with Bachelor degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Experience with object-oriented/object-functionlanguages: Python, Java, Scala, etc. Strong algorithms and data structures Experience with databases e.g. SQL Server, Oracle, Redshift, BigQuery, SnowFlake. Strong interpersonal and communication skills Can work independently and in a collaborative environment. Can handle several projects More ❯

Java, Python, JavaScript or React Hands on experience of building RESTful APIs using popular frameworks like Spring Experience of following TDD and clean code principles Proficiency with data structures, algorithms and SQL Able to independently work in fast paced and rapidly changing environment Preferred Qualifications Experience of working in investment bank or financial services industry Experience of using cloud services More ❯

Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related field Experience with object-oriented languages such as Python (preferred), Java, or Scala Strong knowledge of algorithms and data structures Experience with databases like SQL Server, Oracle, Redshift, BigQuery, Snowflake Excellent communication skills Experience with equities options, index options, options volatility, and trading (preferred) Ability to manage More ❯

in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and Python. Familiarity with large language models and More ❯

able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Duties include: - Research, design, implement, and deploy Machine Learning algorithms for enterprise applications. - Assist and enable federal customers to build their own applications. - Contribute to the design and implementation of new features. Qualifications: - Master's degree in Computer Science, Electrical More ❯

or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development, cloud More ❯

You have experience of working on SaaS products with Amazon Web Services (AWS), CloudFormation, Terraform You are familiar with big data and analytics, machine learning, computer vision and AI algorithms You're a collaborative problem solver You are degree educated in Computer Science or similar technical discipline Experience with video and audio processing or video streaming would be great but More ❯