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Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

JOB TITLE: SOFTWAR DEVELOPER JOB LOCATION: TEWKSBURY, MA WAGE RANGE : 88.00-93.00 PER HOUR JOB NUMBER: RTXCJP JOB DESCRIPTION Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Follow established development practices and processes to maintain the configuration management of software products. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems, architectures, software development life cycle and processes. Experience in software development, and with Windows and Linux Operating Systems, GIT, Jira, Jenkins, Perl, Bash, and Kornshell. Experience developing software in a team-based development environment, preferably Agile/SCRUM, DevOps and test automation. Strong problem-solving and communication skills, including ability to produce technical documentation, and the desire to learn new technologies and tools. Able to travel domestic and international. Demonstrated ability to work effectively with coworkers. Demonstrated ability to work with colleagues who represent multiple work and conflict resolution styles. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

Req ID: 570 Job Title: SME-TECH/OPERATOR I (V-22 Aviation Structural Mechanic, Safety Equipment (AME) ) Location: Jacksonville, FL, US 32201 Job Type: Full-Time Education: High School Diploma / GED Travel: Up to 10% Job Requirements: Knowledge, Skills, and Abilities • Able to work in a team to accomplish common goals. • Possess good verbal and written English communication skills for training development and internal/external communications. • Must interact professionally with military, government, and foreign personnel using the proper courtesies while observing the correct customs. • Must be able to read, navigate, and interpret applicable technical manuals and engineering drawings. • Experienced with Microsoft Office software tools. • Consistently demonstrate interpersonal skills to accept assignments and communicate technical concepts in layman's terms. • Ability to analyze and interpret instructions and standards • Must be able to obtain a security clearance when required by the contract. Education and Experience • High school diploma or GED equivalent. • Four (4) years of experience directly related to the area of expertise in the maintenance or operation of systems and subsystems for the assigned project. (CMV-22 AME systems) • Additional qualifications or experience as required by the Statement of Work. • Successful completion of an approved Military Instructor Training Program desired but not required. • Candidates with prior CDI/CDQAR/QAR qualifications preferred. • LSI will consider remote work for candidates located in the Jacksonville, North Carolina area. PI927c62ebdeaf-6286

Req ID: 579 Job Title: SOFTWARE ENGINEER I Location: Jacksonville, FL, US 32201 Job Type: Full-Time Education: High School Diploma / GED Travel: Up to 10% Job Requirements: Knowledge, Skills, and Abilities • Proficient with C++ and/or C# is required. • Experience with UNIX/LINUX operating systems is preferred. • Experience with MS Visual Studio and Open GL is preferred. • Experience with Unity/Unreal is preferred. • Must be self-motivated. • Must be a quick learner. • Ability to communicate effectively, both verbally and in writing. • Must be able to obtain a security clearance when required by the contract. Education and Experience • Bachelor of Science (BS) degree in computer simulation, engineering, game development, or a similar field is preferred; or • AA/AS degree in a related field and two (2) years of experience in a programming or engineering field; or • High school diploma or equivalent and four (4) years of experience in a programming or engineering field. • Unreal Engine 5 experience. PIed92d8fee99f-6050

Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

ConRes helps organizations adopt AI across public cloud, government cloud, and local and air-gapped data centers. As clients move AI from pilots into production, their security, compliance and audit teams need an independent answer to one question: is this AI system safe to run? The AI Security Engineer provides that answer. You will assess, test and help govern our clients' AI systems, and turn findings into prioritized, defensible remediation they can act on. Responsibilities AI Security Assessments Lead AI security assessments of LLM applications, RAG pipelines and AI agents: architecture review, data flows, identity, tenancy and data separation, logging and model-provider configuration. Run threat-modeling workshops using STRIDE with the OWASP Top 10 for LLM Applications, OWASP Agentic AI guidance and MITRE ATLAS. Map findings to AI frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act) and to the client's control baseline (NIST SP 800-53, NIST SP 800-171 / CMMC, FedRAMP, HIPAA, PCI DSS, SOC 2, ISO/IEC 27001) so stakeholders can defend severity and remediation decisions and produce audit-ready evidence. Write executive-ready reports and present results to client security, compliance and leadership teams. Adversarial Testing Plan and execute AI red-team exercises: direct and indirect prompt injection, jailbreaks, system-prompt and data leakage, insecure output handling, excessive agency and tool abuse in agents, RAG and vector-store poisoning. Validate that guardrails and content filters (native guardrail services in public and government cloud, and self-hosted guardrail models in air-gapped environments) actually hold under attack. Local and Air-gapped AI Deployments Define and verify security controls for self-hosted and air-gapped AI: inference servers (i.e., vLLM, Ollama, NVIDIA NIM), GPU hosts, local vector stores and the networks around them. Secure the model supply chain without internet access: provenance and hash/signature verification of model weights, scanning for unsafe serialization, and an approved internal model and package registry. Design and audit controlled data-transfer processes for moving models, updates, containers and datasets across the air gap. Harden hosts and containers; ensure logging, monitoring and incident response work without cloud services. Assess data-isolation guarantees and document them for accreditors and auditors. AI Governance and Risk Help clients develop AI acceptable-use, data-handling and model/vendor risk standards suited to their regulatory obligations. Assess the AI vendors and SaaS tools clients are adopting: data residency, retention, training-data use, SOC 2 / ISO 42001 posture. Define AI security requirements and acceptance criteria for client solutions, working with the client's teams and ConRes delivery teams. Help clients detect and manage shadow AI and AI-related data loss (data classification, DLP and AI threat-protection tooling). Incident Response and Enablement Support clients in investigating and responding to AI-related incidents: data leakage, model abuse, compromised AI identities or keys. Track emerging AI attack techniques and regulation, and keep client assessments and test cases current. Deliver AI security training and workshops for client teams, and help shape ConRes's AI security services and thought leadership. The pay range for this position begins at $180,000 up to $200,000 per year. This range reflects the annual salary that Continental Resources reasonably and in good faith expects to pay for this position at the time of posting, consistent with the Massachusetts Pay Transparency Law (M.G.L. c. 149, 105E).

AI Engineer 3 (AI Foundations) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Description: Base Hourly Range : $60,000-$80,000 Reports to: Engineering Mgr or CAD Administrator Annual Bonus : No Direct Reports : None Remote: No Status : Exempt Company Website: ABOUT SCHNEIDER At Schneider Packaging Equipment Company, Inc. ("Schneider"), we believe innovation starts with the consumer. This approach has propelled our success in developing real-world solutions that allow us to automate the supply of life's products. With over 50 years of industry problem-solving in end-of-line automation, Schneider is a leading manufacturer of case packing and robotic palletizing solutions. Headquartered in Upstate New York, we design state-of-the-art machinery for customers in industries such as: food and beverage, dairy, pharmaceutical, personal care, plastics, and paper. Schneider is now a part of the Pacteon family of companies. Our continued growth has allowed us to really be our Customer's one source for end of line packaging solutions. ABOUT PACTEON Pacteon Group provides one source for best-in-class automation focused on end of line packaging solutions, providing the highest-level customer experience. Through a broad range of robotic and non-robotic equipment, ability to integrate solutions seamlessly across portfolio companies, and full sales and service coverage, Pacteon is uniquely positioned to design flexible and custom solutions for your automation needs. For more information on Pacteon, please visit . OUR CORE VALUES We believe and live our Core Values, our IPACT: I ntegrity P ride A ccountability C ustomer Service T eamwork Our Pacteon Promise is "We make it right". As our customer's one source for end-of-line packaging solutions, everyone plays an important role to make that happen. We provide internal growth paths for our employees and support them in their professional development goals. Diversity is important to us; we are proudly an Equal Opportunity Employer striving for innovation and growth both for our employees and our Company. SUMMARY AND PURPOSE Provide support to the engineer design teams through design and drawing creation for components, assemblies, project documentation, and the Pacteon quality system. Provide direction and guidance to Shop, Assembly, and Electrical personnel as required Owner of all tasks associated with machine manual generation Deepen the understanding of products, customers, goals, organization, and business strategies, evaluating systems and processes, and identifying improvement needs. Develop and implement processes that improve engineering and manufacturing production and deliver quality outputs. Meet Schneider's quality standards while maintaining working knowledge of relevant technologies and best practices. KEY RESPONSIBILITIES Equipment Design Assist Mechanical design teams through the design and drafting of machine components using established design standards, design blocks and project requirements. Assist Controls design teams through the design and drafting of electrical drawings, blocks, updating red marks, UL checks, and other project requirements. Complete machine documentation (machine manual, installation guides, and as requested by Design Team. Contribute, as a member of a team of design professionals, to achieve project, department, and company goals. Work on multiple, simultaneous projects within multiple design teams. Communication Communicate in a manner that assures clarity and understanding with both internal and external customers. Collaborates with controls engineers to gather screenshots needed to complete manuals Attend department and process driven meetings as requested. Recommend improvements in the company's offerings and work procedures utilizing the Action Request and EAR process. Travel required may include field support for customers to ensure satisfactory operation of machines, vendor support, training and/or trade show support. Approximately 5-10%. Must maintain valid enhanced driver's license and/or passport for travel. Build professional skill through continued training, education, and networking events. Perform other related duties as assigned by management. Requirements: PROFESSIONAL QUALIFICATIONS Education: o AS in Mechanical Technology or equivalent. Experience: o 2+ years of experience in a design-build manufacturing environment as an engineer with management responsibilities. o Project management experience preferred. Skills: o Advanced training/education in engineering, leadership and project management preferred. o Microsoft technology and relevant design and life cycle management software. o Proven ability to work in a cross functional team environment. o Highly effective time management, personal organization, and communication skills. o Demonstrates strong attention to detail while multi-tasking to achieve quality, timely completions of tasks. o A "Results Oriented" attitude coupled with a strong sense of accountability. Employment Conditions: o Valid driver's license and acceptable motor vehicle record. PHYSICAL REQUIREMENTS & WORK REQUIREMENTS Physical Requirement Never Sometimes Frequently Sitting X Standing/Walking X Lifting/Carrying Upto 10 lbs X Lifting/Carrying Upto 30 lbs X Pushing/Pulling X Keyboarding X Gross Manipulation X Fine Manipulation X Driving X Stooping X Speaking X Hearing X Near Visual Acuity X Compensation details: 0 Yearly Salary PIe38986c67e74-6189

Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.

Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.