Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Experience Requirements:

• At least 4 years of experience in data engineering, ideally focused on AI/ML data infrastructure or enabling and accelerating AI R&D

• Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with additional experience in modern orchestration frameworks (Airflow, Prefect, or dbt)

• Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma)

• Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines

• Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex)

Other Requirements:

• Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams

Responsibilities:

• AI Data Infrastructure & Pipeline Management for Applied AI: Design, build, and operate scalable real-time data pipelines that support ongoing Applied AI model training. Deploy and maintain robust data infrastructure using AI techniques and engineering best practices to ensure continuous model improvement and deployment cycles.

• Data Collection: Execute initiatives for collecting, normalizing, and storing data across multiple sources, including external LLM providers.

• Collaboration: Partner with AI R&D, Applied AI, and Data Platform teams to ensure seamless data flow and quality standards. Partner with stakeholders to collect, curate, and catalog high-quality datasets that directly support Applied AI retraining workflows and business objectives.

• AI R&D Support: Provide secondary support to AI Research & Development efforts by applying advanced data warehousing and engineering technologies. Contribute to exploratory data initiatives that uncover insights from Turnitin's extensive data resources.

• Communication: Maintain clear communication channels across teams, ensuring alignment with company vision while sharing insights on data infrastructure needs and potential innovations.

Benefits:

• Competitive Salary and Equity

• Family Health Insurance

• Investment in Growth

• Prime Location and Top-Notch Amenities

Experience Requirements:

• 4+ years of experience in data entry or data operations

• should have led or managed a team for at least 1 year

Other Requirements:

• Strong understanding of payroll systems and employee data management

• Preferred: Fundamentals of Payroll Certification (FPC)

• Excellent communication, organizational, and problem-solving skills

• High attention to detail and commitment to data accuracy

• Ability to manage multiple priorities and meet deadlines in a fast-paced environment

Responsibilities:

• Supervise and support the Data Entry Specialists, ensuring adherence to quality and productivity standards

• Develop and implement data entry protocols and best practices aligned with Netchex your operational goals

• Monitor data accuracy and completeness across systems and reports

• Coordinate with internal teams (Payroll, IT, Product) to ensure smooth data flow and timely updates

• Manage timelines and deliverables for data-related projects

Benefits:

• Competitive Salary and Equity

• Family Health Insurance

• Investment in Growth

• Prime Location and Top-Notch Amenities

Experience Requirements:

• 2 years of experience as a Data Entry Specialist, especially within Payroll

Other Requirements:

• Preferred: Fundamentals of Payroll Certification (FPC)

• Proficient in Microsoft Excel

• Strong communication, customer service and problem-solving skills

• Accurate data entry abilities

• Ability to multi-task and prioritize

• Proficient with Microsoft Office Suite

Responsibilities:

• Access various internal and external portals to download and collect required data

• Organize and rename downloaded files following internal naming standards

• Upload and update data into internal systems and reports accurately

• Ensure the data is accurate, properly labeled, and uploaded to the correct location

• Handle confidential information securely

Benefits:

• Be part of a leading DevOps and Atlassian consulting company with over 650 experts across 10 countries

• Work with exciting customers across industries and tackle complex system implementation projects

• Grow your career in a learning driven culture with opportunities for training, certifications, and knowledge sharing

• A flexible and dynamic work environment with opportunities for remote work

• A strong learning culture, with access to certifications, training, and conferences

Experience Requirements:

• Strong hands-on technical experience with the Atlassian platform (Data Center and Cloud)

• Experience leading or coordinating technical implementation projects

• Atlassian certifications or accreditations

• Practical experience in on-premise to cloud migrations

• Familiar with Agile and ITSM concepts and tools

Other Requirements:

• Understanding of integrations and APIs (e.g., REST, webhooks, automation rules)

• Knowledge of enterprise tools such as GitHub, Bitbucket, Azure DevOps, Jenkins

• Language skills: German (fluent, minimum B2), English (at least basic)

• Is passionate about technology and hands-on problem solving

• Enjoys working directly with systems and tools

Responsibilities:

• Working hands-on with customers to design, implement, and customize Atlassian products

• Developing technical solutions for Jira, Confluence, Bitbucket, and other Atlassian tools

• Leading and contributing to complex Atlassian-based ITSM and DevOps implementations

• Working alongside a team of experienced Atlassian professionals to solve real technical problems

• Providing technical guidance and mentoring for both customers and teammates

Education Requirements:

• Bachelor's or Master's degree in Business Administration

• Bachelor's or Master's degree in Engineering

• Bachelor's or Master's degree in Computer Science

• Equivalent in working experience

Experience Requirements:

• At least 3 years of experience in product management or project management in complex/matrix environments

• Prior experience in Conversational AI/Chatbot/SaaS products

• Product management experience in B2B SaaS

Other Requirements:

• Excellent communication skills

• Strong leadership and people skills

• High level of analytical and quantitative skills

• Strong financial analytical capabilities

• High integrity, visionary, and calm under pressure

Responsibilities:

• Oversee the roles and working of other team members in the technical department

• Oversee the innovation and improvement of the business’s product and day-to-day product activities

• Spearhead investigation and analyses on the product and the product market

• Identify and resolve issues in the strategies currently developed

• Play a pivotal role in the recruitment and guidance of new personnel for the technical department

Benefits:

• Benefits/programs to support holistic employee health

• Flexible hours and working schedules

• Growing organization with career pathing and development opportunities

• Tons of perks and extras in every location for all Phenoms!

Education Requirements:

• Bachelors Degree in Human Resources, Business, and or a related field

Experience Requirements:

• 7+ years experience in Talent Acquisition and/or HR operations within one industry vertical

• Extensive knowledge/experience with Talent Acquisition ATS, CRM, and/or related platforms

• Experience with the Phenom Intelligent Talent Experience platform is an asset

• Customer obsession mindset with an ability to earn trust, and provide sound strategies that except customers expectations

• Strong leadership skills with the ability to influence and inspire cross-functional teams

Responsibilities:

• Develop a deep understanding of customer pain points and needs for talent hiring and growth

• Support product delivery to these requirements, advice customers on industry best practices and support fine tuning and optimization based on deployments.

• Work closely with product managers to help create patterns and templates for recurring opportunities and propose solutions

• Deliver business impact, key insights, and value optimizations for customers by utilizing deep industry knowledge that relates to the clients objectives

• Partner with; Product Management, Sales, Customer Success, and engineering teams to create a strategy that best supports the industry vertical

Education Requirements:

• MSc in a quantitative field (Computer Science. Statistics, Software\Information System Engineering or similar), specializing in Machine Learning

Experience Requirements:

• 2+ years of working experience as a data scientist

• Hands-on experience with Python development

• Strong knowledge with SQL/NoSQL databases

• Experience in deploying ML algorithms to production environments

• Deep understanding of machine learning models and statistical inference

Other Requirements:

• Great communication and interpersonal skills

Responsibilities:

• Be part of a data-science team where you will lead end-to-end ML projects. (from business understanding through data exploration, research, algorithm development, evaluation, optimization & A/B testing to model deployment)

• Take part in developing new cutting-edge algorithms based on various ML techniques

• Improve our ML pipeline

• Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback

• Work closely with the Product, Customer Success, BI, Dev and DevOps teams

Education Requirements:

• BS or MS in Computer Science or a related field

Experience Requirements:

• 5+ years of Software Engineering experience

• Extensive experience with programming, system design and algorithm design

• Expert in C/C++ and CUDA

• Excellent debugging expertise on Linux

• Robotics/AV experience

Other Requirements:

• Interest and passion for developing and hardening novel, ground-breaking technology

• Proficient in Python

• Experience with deployment of AI models on physical robots

• Experience with Nvidia Jetson or Nvidia Drive platforms

• Experience with real-time system development

• Experience with distributed systems design and architecture

• Experience with troubleshooting and tuning systems

Responsibilities:

• Develop, test, and maintain an assigned section of our autonomous vehicle software stack

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 2-3 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 2-3 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 4-6 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 5+ Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 1-4 years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 0-2 Years

Benefits:

• Your growth is our growth

• Respect for individuality

• Technology for people

• Happy work environment

• Health and well-being support

Experience Requirements:

• 3-5 Years

Benefits:

• Be part of a dynamic and innovative team at the forefront of AI technology

• Shape the growth and direction of an exciting platform with limitless potential

• Work remotely from anywhere in the world

• Competitive compensation

• Opportunities for professional development

Experience Requirements:

• Proven experience as a Community Manager or a similar role

• Excellent written and verbal communication skills

• Passion for AI and technology, with a basic understanding of AI models and their applications

• Familiarity with social media platforms, community management tools

• Strong problem-solving skills and the ability to empathize with users

Responsibilities:

• Develop and execute a comprehensive social media strategy to increase brand awareness and engagement

• Create and curate content that resonates with our community and showcases the capabilities of ModularMind

• Monitor social media channels, respond to inquiries, and engage with user-generated content

• Organize and participate in community events, webinars, and Q&A sessions to facilitate discussions and knowledge sharing

• Encourage users to share their success stories, use cases, and feedback

Education Requirements:

• Bachelor’s degree (Master’s Degree preferred) in the field of Computer Science, Mathematics, or in a related field

Experience Requirements:

• Minimum of ten (10) years of software development experience, with at least six (6) years of that being with complex software systems

• 6+ years experience with architecting complex, high-scale web applications and data solutions

• 5+ years experience with medical device software development with focus on cybersecurity and information security implementation.

• 8+ years experience with at least two of the following programming languages: ReactJS, Node.JS, Nest.JS, Python, Rust and C++

• 6+ years experience with cloud computing such as AWS, Azure, etc.6+ years experience with AWS services such as Kafka, EC2, S3, MSK, ECR, EKS6+ years experience with database design and implementation10+ years experience with agile software development principles and practices5+ years experience test automation using test frameworks such as Selenium, Cucumber, etc.5+ years experience with CI/CD utilizing containerized deployment tools such as Dockers and Kubernetes.3+ years experience with machine learning and working with data scientists to build applications that make use of the power of machine learning and AI

Responsibilities:

• Design, build and maintain backend and frontend web-based software applications

• Work with Manager of India Engineering on software architecture and design

• Strive for high quality outcomes, continuously look for ways to improve team productivity and product reliability, performance, and security

• Work with both backend and frontend technologies such as

• Automate unit and integration tests within a CI/CD pipelinePartner with other engineering teams to deliver best solutionsEnsures software standards are metEnsure that the feature(s) work across multiple releases of the softwareWork within the Pictor Labs organization to ensure consistent, high-quality deliveriesDevelop architecture, design and code based on the specificationsPrepare software verification plans and quality assurance proceduresContinually strive for increased efficiency, maintainability, and qualityIntegrate software components into a fully functional software systemBuild and Support – embrace the DevOps mentality to build, deploy and support applications in the cloud with minimal help from other teamsWork with software and product management teams to translate requirements into design.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Responsibilities:

• Firmware ​development ​for DDR ​memory controller, validation, and ​debugging

• Planning ​and executing ​memory interfaces, validation, ​and feature ​enablement

• Tuning/Optimazation ​of DRAM ​interface ​timing ​and IO setting

• Collaborate ​with ​the HW test ​engineers ​for ​tunning/optimazation

• Identify any functional ​issues, and ​perform ​root-cause analysis, ​and drive ​closure ​of the issues ​found

Experience Requirements:

• Minimum ​of 5 years of experience in SoC integration

Responsibilities:

• Architecture, ​design, ​and integrate ​AI acceleration SoC systems

• Coordinate ​with ​other team ​members throughout the ​design process ​to ​ensure all ​aspects ​of ​the design are ​addressed

• Collaborate ​closely with cross-functional ​teams ​to ​integrate the SoC

• Collaborate ​and communicate ​with ​DSP for ​SoC implementation

• Collaborate ​on ​silicon bring-up and ​debugging