AI Jobs

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-3 years of industry experience developing ETL (Data processing pipeline) to integrate large volumes of data from various sources with a variety of database technologies.

• Experience setting up and managing large data pipelines

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Work within the Data Science team to implement various data pipelines for our end-to-end solutions.

• Provide active input into the design of our data product offerings portfolio and our data dissemination framework.

• Integrate the right tools and methods for data enhancement, data quality, data obfuscation, privacy measurement and enhancement.

• Implement data security and access controls throughout the data pipeline.

• Develop actionable tools for monitoring the health of implemented pipelines and identify and fix issues in real-time.

Education Requirements:

• BSEE or MSEE focused on Digital IC design

Experience Requirements:

• 7+ years of industry experience

• Completed at least 1 complete product design cycle

• Experience with Concept --> Architecture --> RTL --> P&R --> Tapeout --> Silicon Debug / Test --> Product release

Benefits:

• Платформу обучения и развития «Т‑Банк Апгрейд». Курсы, тренинги, вебинары и базы знаний. Поддержку менторов и наставников, помощь в поиске точек роста и карьерном развитии

• Заботу о здоровье. Оформим полис ДМС со стоматологией и страховку от несчастных случаев. Предложим льготное страхование вашим близким

• Возможность работы в аккредитованной ИТ-компании

• Линейку льготных тарифов на продукты Т‑Банка

• Частичную компенсацию затрат на спорт Сервисы для поддержки сотрудника по психологическим, юридическим и финансовым вопросам Три дополнительных дня отпуска в год

Experience Requirements:

• У вас есть опыт разработки ML-моделей с использованием современных DL-фреймворков (Pytorch, Jax/Tensorflow и других) и их применения в продакшене

• Разбираетесь в принципах работы современных алгоритмов машинного обучения

Other Requirements:

• Знаете Python

• Умеете декомпозировать задачу в переиспользуемые и тестируемые библиотеки и компоненты

• Знаете теорию в сфере математики, прикладной статистики, алгоритмов и структур данных

• Готовы изучать научные статьи на английском языке и ставить эксперименты основе прочитанного

• Знаете Linux, Git, Bash и Docker

Responsibilities:

• Изучать научные статьи, генерировать гипотезы, ставить на их основе эксперименты и доносить результат до команды

• Улучшать качество моделей в различных сценариях

• Ускорять работу моделей, применяя современные методы оптимизации и построения архитектуры

• Писать воспроизводимый код, оформлять эксперименты в воспроизводимые пайплайны, включающие разметку и обработку данных, обучение моделей и валидацию системы в целом

Benefits:

• Платформу обучения и развития «Т‑Банк Апгрейд». Курсы, тренинги, вебинары и базы знаний. Поддержку менторов и наставников, помощь в поиске точек роста и карьерном развитии

• Заботу о здоровье. Оформим полис ДМС со стоматологией и страховку от несчастных случаев. Предложим льготное страхование вашим близким

• Возможность работы в аккредитованной ИТ-компании

• Линейку льготных тарифов на продукты Т‑Банка

• Частичную компенсацию затрат на спорт Сервисы для поддержки сотрудника по психологическим, юридическим и финансовым вопросам Три дополнительных дня отпуска в год

Experience Requirements:

• У вас есть опыт разработки ML-моделей с использованием современных DL-фреймворков (Pytorch, Jax/Tensorflow и других) и их применения в продакшене

• Разбираетесь в принципах работы современных алгоритмов машинного обучения

Other Requirements:

• Знаете Python

• Умеете декомпозировать задачу в переиспользуемые и тестируемые библиотеки и компоненты

• Знаете теорию в сфере математики, прикладной статистики, алгоритмов и структур данных

• Готовы изучать научные статьи на английском языке и ставить эксперименты на основе прочитанного

• Знаете Linux, Git, Bash и Docker

Responsibilities:

• Изучать научные статьи, генерировать гипотезы, ставить на их основе эксперименты и доносить результат до команды

• Улучшать качество моделей в различных сценариях

• Ускорять работу моделей, применяя современные методы оптимизации и построения архитектуры

• Писать воспроизводимый код, оформлять эксперименты в воспроизводимые пайплайны, включающие разметку и обработку данных, обучение моделей и валидацию системы в целом

Responsibilities:

• Development of WEB/business applications based on our AI technology

Education Requirements:

• Bachelor’s degree in Software Engineering, Computer Science, or a related technical field, or equivalent experience.

Experience Requirements:

• 8+ years of software development and deployment experience, preferably in a defence or related industry.

Other Requirements:

• Eligible for Government of Canada Top Secret security clearance.

Responsibilities:

• Travel to customer and partner sites to participate in requirements gathering, software deployment, integration testing, and hands-on support with end-users.

• Work directly with stakeholders, including defense contractors and military personnel, to ensure solutions align with operational requirements.

• Build and manage containerized applications using Docker, Docker Compose, and Kubernetes/OpenShift.

• Deploy, secure, and monitor Linux-based containerized applications, services, and machine learning models in both cloud-hosted and on-premise networks.

• Streamline software installation processes, configurations, and documentation for repeatable, high-quality deployments.

Education Requirements:

• Master’s or doctorate in mathematics, statistics or computer science

Experience Requirements:

• A combination of mathematical and statistical knowledge, programming expertise, as well as analytical skills including familiarity with ML, software development, Hadoop, Java, data mining/data warehouse, data analysis and Python.

Responsibilities:

• Główny Inżynier ds. Uczenia Maszynowego pełni kluczową rolę w projekcie odpowiadając za kierowanie i nadzorowanie wszystkich aspektów związanych z uczeniem maszynowym i rozwojem oprogramowania.

• Jego głównym zadaniem jest zapewnienie, że algorytmy ML rozwijane są z najwyższą jakością, spójnością i zgodnie z najnowszymi standardami.

Education Requirements:

• Computer science, mathematics, statistics or a related degree

• Master’s degree in machine learning, neural networks, deep learning or related fields

Experience Requirements:

• Be proficient in coding languages such as HTML, CSS, JavaScript, and jQuery

• Understand server-side CSS.

• Be experienced with graphic design applications (e.g., Adobe Illustrator)

• Understand the principles of SEO

• Have excellent skills in problem-solving

Education Requirements:

• Computer science, cloud, dockers, devops skills or a related degree;

Experience Requirements:

• Certification (e.g. CCNS, CISSP, MCSE) or similar skills

Responsibilities:

• Inżynier DevOps wykonuje zadania zarówno z zakresu inżynierii oprogramowania, jak i uczenia maszynowego.

• Jego głównym zadaniem jest tworzenie, wdrażanie i monitorowanie infrastruktury niezbędnej do efektywnego rozwijania i wdrażania modeli ML, a także zapewnienie ciągłości pracy i skalowalności rozwiązań.

Education Requirements:

• Bachelor of Science (BS) in Computer Science, Information Systems, Business, Technology or a Data related field

Experience Requirements:

• 5+ years of IT experience with in Global IT environments including cloud and third-party outsourced components

• 3+ years of experience architecting, engineering, supporting or developing enterprise IT solutions in hosted and cloud environment

Responsibilities:

• Develop and maintain the organization's enterprise architecture, including its business architecture, information architecture, application architecture, and technology architecture.

• Align the enterprise architecture with the organization's business strategy and goals.

• Design and implement new technology and solutions.

• Ensure that the IT infrastructure is scalable, secure, and reliable.

• Work closely with other departments to ensure that all solutions are integrated and interoperable.

Experience Requirements:

• Strong experience in Big data development

• Extensive experience in the automated software and data pipeline development and deployment flow (CI/CD)

• Hands-on experience in data modeling and creating algorithms that turn data into optimal, practical, and valuable information

Responsibilities:

• Design, build, administer and scale data processing pipelines (batch/streaming) from structured/semi-structured/unstructured types of data sources (CSV, JSON, Parquet, tables, Kafka, etc.)

• Improve scalability, stability, accuracy, speed and efficiency of current data systems

• Responsible for design, building, testing and deployment of new libraries, frameworks for core systems with the high standard of quality

• Work with functional analyst, project manager, product owner and other engineers in an agile way (or project base in some cases) on requirements and deliverable

• Ensure SLA and provide the greatest experience for users by collaborating closely with the Data Operations team.

Education Requirements:

• Bachelor’s degree in computer science, engineering, or related field

Experience Requirements:

• 5+ years of hands-on ML engineering in production environments

• Production ML system architecture and implementation

Responsibilities:

• Architect and implement production ML systems at scale

• Lead MLOps infrastructure decisions and establish engineering best practices

• Design robust ML monitoring and observability solutions

• Build and optimize feature stores and model serving platforms

• Mentor team members on ML engineering practices

Benefits:

• 100% funded healthcare benefits

• Flexible-managed Paid Time Off (PTO)

• Funding for training and education

• Equity

Education Requirements:

• Completed a masters or doctoral degree in psychology, counseling, social work or similar with minimum 5 years experience

Experience Requirements:

• Experience with qualitative clinical coding systems in research or clinical practice

• Demonstrated history of remote work, telecommuting

• Previous supervisory experience

Other Requirements:

• Ability to telecommute (e.g., internet and computer setup)

• Interest in NLP, AI, ML, speech signal processing and other automated systems of assessing human behavior

• Experience with report writing for external stakeholders

• Ability to provide constructive and timely feedback

• Good organizational skills, attentive to details, and able to multitask

• Strong written, verbal, and presentation skills

• Comfort or past experience with Excel or Google Sheets and Slack

• Tolerates ambiguity and has tools for working through those moments of discomfort

• Awareness of the importance of confidentiality and the responsible handling of sensitive data

• Seeks out and integrates constructive feedback

• Brings knowledge of or active interest in learning about cloud-based machine learning systems, including monitoring and automated training (ML Ops)

• Loves all things automation and enjoys figuring out new ways to automate development processes

• At this time, we require that all applicants are eligible to accept employment in the United States.

Responsibilities:

• Serve as Gold Standard annotator for all mpathic labeling manuals and maintain reliability with the labeling team

• Label transcripts as needed across customers using mpathic’s proprietary system.

• Conduct the preparation for and leading of annotation team meetings

• Assign and track completion of annotator assignments

• Assist in the creation of synthetic data and sourcing data resources for mpathic detections

Benefits:

• 100% funded healthcare benefits

• Flexible-managed PTO

• Training and education funding

• Equity

Experience Requirements:

• 5+ years of experience in security and compliance, with a focus on ensuring compliance with frameworks like SOC 2, HIPAA, and GDPR.

Other Requirements:

• Proven Experience

• Cybersecurity Expertise

• Compliance Frameworks

• Security Technologies

• Strong Analytical Skills

• Excellent Communication

• Additional Skills: Programming or scripting skills for automation and analysis can be beneficial.

• At this time, we require that all applicants are eligible to accept employment in the United States

Responsibilities:

• Compliance Assessment and Management: Regularly review and audit systems to identify potential compliance gaps against standards like SOC 2, HIPAA, GDPR, PCI DSS, etc.

• Security Control Implementation: Design and deploy technical security controls such as access controls, encryption, data loss prevention, network segmentation, and vulnerability management to mitigate risks.

• Policy Development: Collaborate with legal and compliance teams to create and maintain security policies and procedures aligned with industry regulations.

• Risk Assessment and Mitigation: Identify potential security threats, evaluate their impact, and implement appropriate mitigation strategies.

• Vendor Management: Oversee the security practices of third-party vendors to ensure compliance with company standards.

Benefits:

• 100% funded healthcare benefits

• Flexible-managed PTO

• Training and education funding

• Equity

Experience Requirements:

• 5+ years of experience in software engineering, with a strong focus on backend development using .NET (C#).

Other Requirements:

• Proven Experience:

• AWS Proficiency:

• Database Skills:

• Frontend Familiarity:

• At this time, we require that all applicants are eligible to accept employment in the United States.

Responsibilities:

• Backend Development: Build robust backend systems using .NET (C#) and other languages.

• Cloud Infrastructure: Design, deploy, and manage scalable applications in AWS, leveraging services like ECS Fargate, DynamoDB, S3, and others.

• Database Management: Work with both SQL (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB) databases to support diverse data needs.

Benefits:

• 100% funded healthcare benefits

• Flexible-managed PTO

• Training and education funding

• Equity

Experience Requirements:

• 5+ years of experience in frontend development, with deep expertise in React and its ecosystem (Redux, React Query, etc.)

Other Requirements:

• Strong proficiency in JavaScript/TypeScript, HTML5, and CSS3 (e.g., CSS-in-JS frameworks like Emotion or Styled Components)

• Experience building and optimizing data-heavy web applications (charts, graphs, real-time updates)

• Familiarity with state management, component libraries, and frontend performance optimization

• Knowledge of modern styling frameworks (Tailwind, MUI, CSS Modules)

• Proficiency in standard UI/UX design and developer industry standards

• Experience with RESTful APIs and integrating with back-end services

• Ability to provide a portfolio of work demonstrating past projects

• Excellent problem-solving skills and attention to detail

• Self-motivated and able to work independently or as part of a team

• At this time, we require that all applicants are eligible to accept employment in the United States

Responsibilities:

• Design, develop, and implement user interfaces for our web applications

• Work with back-end developers to integrate with our RESTful APIs

• Write clean, efficient, and well-documented code

Education Requirements:

• Tertiary qualification in Metallurgy or Mineral Process Engineering.

Experience Requirements:

• Extensive experience experience in mineral processing including evaluation of third party operations (>20years). working in both open pit and underground mining environments.

Responsibilities:

• Lead an expanding metallurgical team, providing expertise on mineral processing methodologies, and ensuring the quality control of all geometallurgical models.

• Audit the clients geometallurgy (Kriging) models and Stratum’s newly generated Stratum models.

• Assist in the audit and analysis of complex mine site databases, focussed on the measured geometallurgical parameters and report on potential issues with the data and the client’s conclusion.

Experience Requirements:

• 2+ years of industry machine learning experience.

Responsibilities:

• Adapt Stratum’s deep learning models to a given mine.

• Develop and maintain high-quality machine learning code using Python.

• Unlock ways to create better resource and metallurgical models with deep learning for one specific mine, or sometimes mines in general

Experience Requirements:

• You’ve trained, fine-tuned, or served state-of-the-art deep learning models.

• You’re comfortable digging into ambiguous research problems and turning ideas into prototypes.

• You enjoy playing with large datasets, building data pipelines, and innovating with new model architectures.

Experience Requirements:

• You have experience with container orchestration (e.g., Kubernetes, Docker) and distributed systems.

• You’ve tackled large-scale production challenges—database sharding, queue orchestration, or microservice architecture.

• You’re a systems thinker who loves optimizing at every level of the stack.