Education Requirements:

• Bachelor’s degree in appropriate field

Experience Requirements:

• at least 4 years of experience as a software engineer

Other Requirements:

• Leads communication with clients and other stakeholders

• Extensive experience with Next.js, React.js, and TypeScript

• Basic practical skills in Azure

• Strong communication and collaboration skills

• Experience with taking a project from scoping requirements through launch of the project

• Experience with CI/CD and Agile

• Experience writing secure, testable and robust code

• Deep understanding of Linux and OS internals

• Understand performance parameters and assess application performance

• Strong analytical and reasoning skills with an ability to visualise processes and outcomes

Responsibilities:

• Lead design & development for medium or large scale projects

• Able to plan refactor of complex projects by balancing risks and dev costs

• Ensure implementation of monitoring and logging tools

• Contribute to the ongoing development and improvement of the platform, both in frontend and backend

• Develop Next.js components and implement complex backend services in TypeScript Participate in discussions on system architecture Identify, prioritize and execute tasks in the software development life cycleReviewing code quality & functionality Mentor junior and mid-level engineers Collaborate with recruiters to help grow engineering team Support in resource recruiting, planning and allocation

Experience Requirements:

• Minimum 4 + years of Experience

Responsibilities:

• Full stack developer for product using Java-script, Java, and Angular framework.

• Research and implement solutions for product requirements.

• Collaborate with internal and external teams across different locations

Benefits:

• Private healthcare plan + life insurance

• Sportscard for various sports activities

• Free English classes

• 20/26 days of paid holiday

• Training budget for skill development

Experience Requirements:

• 5+ years of relevant experience in data science/engineering

Responsibilities:

• Deploy machine learning solutions in production on AWS & GCP

• Participate in product discovery to propose ML product features

• Design, implement, and validate ML algorithms for visual similarity and recommendations

• Develop image-to-metadata solutions using multimodal LLMs to enhance artwork catalog data

• Write clean, efficient code following best practices in software development.Build prototypes, conduct experiments, and manage end-to-end ML projects.Collaborate with product, data engineering, and cross-functional teams.Research and evaluate new tools and technologies

Benefits:

• No workplace politics

Education Requirements:

• BS or MS in biology, wetland science, plant ecology or similar field with experience pertaining to a specialized biological training or field. Or the equivalency of 8+ years related experience in lieu of education.

Experience Requirements:

• At least 7 years of consulting experience that involves oversight, QA/QC, technical writing, advanced survey design, impact assessment and multi-media permitting.

Responsibilities:

• Coordinate multi-disciplinary biological and water resource teams for state and federal regulation surveys, monitoring and documentation.

• Contribute to preparing technical documents and associated management plans in compliance with state and federal requirements, serving in roles ranging from lead technical expert to QA/QC.

• Achieve client’s expectations for scope, budget, schedule, and quality.

• Maintain positive relationships with clients and public agencies.

• Other duties may include natural resource surveys, biological monitoring (as necessary), field team management, and providing specialized site assessments.

Benefits:

• Stock options

• The flexibility of remote work with an inclusive, collaborative team.

• An opportunity to grow with a company that values innovation and user-centric design.

• Generous vacation policy to ensure work-life harmony and well-being.

• Contribute to a company with a global impact based in the US, Canada, and Europe.

Experience Requirements:

• 10+ years of professional experience in full-stack development, with a strong emphasis on scalable PaaS platforms.

• Deep expertise in Python (AI experience a plus).

• Proficiency in TypeScript/JavaScript and Go Lang (strict type languages a plus).

• Proficiency in developing frontend applications (React, Next.js a plus).

• API Development: Proficiency in designing and maintaining high-performance APIs, microservices, and cloud integrations.

Responsibilities:

• Full-Stack Development: Build and optimize applications that span from the frontend (React, Next.js, Python, SDKs, CLIs) to the cloud backend (Go Lang and Typescript).

• Database Design & Architecture: Design and optimize SQL (PostgreSQL, MySQL) and NoSQL databases, ensuring data integrity, efficiency, and scalability.

• PaaS Best Practices: Implement industry best practices for scalable, secure, and reliable PaaS platforms.

• Event-Driven Systems: Architect event-driven patterns using message queues, event buses, and eventual consistency models.

• Multi-Region Architecture: Design and maintain multi-region architectures that ensure data consistency, fault tolerance, and high availability.

Benefits:

• Stock options

• The flexibility of remote work with an inclusive, collaborative team.

• An opportunity to grow with a company that values innovation and user-centric design.

• Generous vacation policy to ensure work-life harmony and well-being.

• Contribute to a company with a global impact based in the US, Canada, and Europe.

Experience Requirements:

• 6+ years of software development experience in an internal tooling, developer tooling, or developer experience role.

• Strong understanding of a major programming language and its ecosystem (Python, Go, or Rust preferred)

• Experience creating images and deploying with Docker

• Experience working with Product teams to triage customer issues and create requirements for projects

• Experience with AI and ML tooling and frameworks

Responsibilities:

• Identify developer pain points, workflow optimizations, and onboarding improvements and work with the Product team to design solutions.

• Design and implement tooling, workflows, and sample projects to improve RunPod’s developer experience.

• Participate in design and architectural discussions with the Product team to ensure that developers are represented in new features and services.

• Maintain open source repositories and documentation for tools, RunPod templates, and code samples.

• Respond to issues and pull requests on open source repositories in a timely manner.

Education Requirements:

• BSc/ Eng level or higher qualification or above in mechatronics engineering

Experience Requirements:

• 5+ years’ experience in the field.

Responsibilities:

• Perform in depth studies of vehicle retrofitting requirements

• Select robotics and sensors that meet functional safety specifications and meet vehicle and project requirements

• Design retrofitting, verification and validation plans for integration of robotics and sensors into vehicles

• Ensure system design and integration meet international standards for safety and reliability.

Education Requirements:

• BSc/Master's degree in computer science, Electrical Engineering, Robotics, or a related field.

Responsibilities:

• Responsible to manage the mapping and localisation Model Architecture and Road map

• Develop state-of-the art solutions for multi-model sensor fusion of sensors such as lidar, cameras, GPS, IMUs and weel encoders to enable robust localization capabilities.

• Develop and maintain mapping and localization approaches for large-scale environment.

• Work with a multidisciplinary engineering team at drivers to constantly enhance existing solutions.

Benefits:

• Pension scheme

• Generous holiday entitlement

• Competitive salaries

• Training and development

• Family Friendly policies On campus childcare facilities, for more information visit www.wivenhoeparkdaynursery.co.uk Relocation support package for qualifying staff Interest free season ticket loan Range of optional salary exchange tax benefits (pension and bicycle schemes)

Education Requirements:

• PhD in Human-Computer Interaction, Cognitive Neuroscience, Psychology, Behavioral Science, or a related discipline.

Experience Requirements:

• Experience in organizing and conducting experiments with human participants and technology.

• Knowledge of eye-tracking and/or pupillometry techniques is desirable.

• Strong written and verbal communication skills.

Responsibilities:

• Manage, prepare, and conduct eye-tracking experiments in lab and remote settings.

• Organize and curate large datasets, ensuring high-quality data collection and analysis.

• Develop questionnaires and conduct fieldwork to support research objectives.

• Identify trends and patterns in eye-tracking and pupillometry data.

• Conduct qualitative and quantitative analysis to inform study outcomes.

Benefits:

• Pension scheme

• Generous holiday entitlement

• Competitive salaries

• Training and development

• Family Friendly policies On campus childcare facilities, for more information visit www.wivenhoeparkdaynursery.co.uk Relocation support package for qualifying staff Interest free season ticket loan Range of optional salary exchange tax benefits (pension and bicycle schemes)

Education Requirements:

• PhD in Computer Science, Artificial Intelligence, Mathematics, Physics, Data Science, Bioengineering, or a related discipline.

• Ability to complement and enhance the research project and department’s strengths.

• Strong written and verbal communication skills.

Responsibilities:

• Design, implement, and document AI algorithms for deep learning, computer vision, and signal processing in the context of neuromonitoring.

• Develop and refine imaging analytics pipelines to extract key metrics from video and time-series data, particularly related to pupillometry, eye movement, and fatigue detection.

• Train, retrain, and optimize deep learning models, including data preparation, augmentation, and integration of additional datasets.

• Manage deep learning workflows on local devices and cloud-based environments and analyze model outputs to derive actionable insights.

Experience Requirements:

• 5-10 years P&C actuarial experience; commercial lines pricing experience is preferable.

Responsibilities:

• Evaluate and price new MGA opportunities to ensure profitability targets will be achieved. Develop rate level and rating algorithm changes needed to achieve profitability.

• Work closely with a panel of existing Member MGAs to ensure continued profitability and address any actuarial support needed.

Benefits:

• Competitive cash+equity compensation based on level of capability

• Unlimited PTO (min. 2 weeks, avg. 3-4)

• Unlimited paid sick leave (mandatory for infectious diseases)

• Employer group health insurance, subsidized 75% by company

• Annual professional development stipend

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.

Experience Requirements:

• 6+ years of experience in Java development

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.

Experience Requirements:

• 6+ years experience

• end-to-end development expertise

Experience Requirements:

• Meaningful Experience in the Freight Forwarding industry - a must

• Proven experience of at least 7 years in sales roles, selling SaaS products to traditional industries

Responsibilities:

• Identify and target potential clients in the local Freight Forwarding industry.

• Initiate contact with prospective clients through various channels, including cold calls, emails, and networking events.

• Create tailor presentations to address the specific needs and pain points of each client.

Experience Requirements:

• Experience in the Freight Forwarding industry - a must

• Proven experience of at least 5 years in sales roles, selling to traditional industries

Responsibilities:

• Identify and target potential clients in the freight forwarding industry.

• Initiate contact with prospective clients through various channels, including cold calls, emails, and networking events.

• Create tailor presentations to address the specific needs and pain points of each client.

Experience Requirements:

• 4+ years of web Full stack development experience

• 2+ years of web React development experience

• 2+ years of Python development experience

Responsibilities:

• Design, estimate and develop solutions for new feature requests together with product & graphic designers teams

• Write server-side code using Python and AWS server-less services.

• Write client-side code using JavaScript, React and Next.JS.

• Implement and maintain RESTful APIs for seamless communication between front-end and back-end.

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk

Education Requirements:

• Bachelor's Degree in Computer Science

Responsibilities:

• Showcase Chalk's product through documentation of example products and use cases

• Foster engagement within the developer community via online platforms

• Serve as a primary contact and cultivate expertise in ML infrastructure

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 4+ years of experience in data engineering, with a focus on building large-scale data systems. In-depth knowledge of ELT processes and Lakehouse architecture.

• Data Pipelines: Expertise in Python and Scala for data pipeline development. Proven experience with Apache Spark and Databricks for big data processing and analytics.

• Hands-on experience with observability tools like Prometheus, Grafana, and ELK stack/OpenSearch.

• Experience with real-time streaming systems such as Kafka and Flink.

• Experience in working with large datasets and high-throughput data environments.

Other Requirements:

• Familiarity with cloud platforms like Azure, GCP, or AWS.

• Strong problem-solving skills and ability to work in fast-paced environments.

• Excellent communication and collaboration skills.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex concepts effectively to non-technical stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.