As a Data Intern, you will play a pivotal role in empowering product and business teams to make data-driven decisions. Embedded directly within the Core Science team, you will dive into the full data lifecycle—from hands-on exploratory analysis to building machine learning models and shaping user experience on the Glovo app.
Responsibilities
Leverage SQL and Python to perform Exploratory Data Analysis (EDA) and complex data aggregations that uncover actionable trends
Stay close to the Glovo product, identifying bottlenecks and optimization opportunities across the user funnel
Learn and utilize our experimentation framework—designing tests, running Minimum Detectable Effect (MDE) analyses, and evaluating product features
Build and onboard ML models from scratch with dedicated mentorship from senior data scientists
Translate data into impactful narratives, communicating insights clearly to both technical and non-technical stakeholders
Requirements
STEM Background: Ongoing studies or a degree in a STEM field (Science, Technology, Engineering, Mathematics) or equivalent practical experience
We are seeking a detail-oriented Software Engineering Evaluator to assess and improve the quality of AI-generated software development work.
Compensation
The pay range for this position is $45000.00 - $60000.00/yr.
Responsibilities
Create realistic software engineering tasks based on real-world development workflows, including technical requirements, supporting documentation, test cases, and code repositories.
Evaluate AI-generated code solutions against professional engineering standards for correctness, maintainability, performance, and reliability.
Compare outputs from different AI systems using identical requirements and environments, documenting relative strengths and areas for improvement.
Develop test plans, evaluation rubrics, and success criteria that clearly define expected functionality, coding standards, and edge-case handling.
Review code changes, implementation decisions, automated tests, and design approaches to verify technical quality and adherence to requirements.
Requirements
Bachelor's degree (completed or in progress) in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent practical experience.
Nice to have: containerization
Nice to have: CI/CD pipelines
Nice to have: AI-powered coding assistants
Nice to have: large language model tools such as ChatGPT, Claude, GitHub Copilot
Responsible for managing, configuring, troubleshooting, and maintaining software and hardware configurations associated with the AN/BYG-1 Combat Control System within Code 25 test bays.
Compensation
MIKEL offers a competitive salary and a comprehensive benefits package that includes Medical/Dental/Vision Insurance, Flexible Spending Account (FSA), 401k Retirement Plan, Life Insurance, Disability Insurance, Paid Time Off (PTO), and Tuition Reimbursement.
Responsibilities
Plan and execute installation, configuration, reconfiguration, integration, grooming, and maintenance activities for Development, In-Service, and Shipset test bays
Maintain advanced working knowledge of AN/BYG-1 software and hardware configurations
Develop and maintain SME-level knowledge of assigned test environments and configuration baselines
Execute complex test bay builds and reconfigurations in support of major test events, platform builds, and development activities
Complete and review applicable bay build and grooming checklists, status reports, Qualifying Evidence (OQE), and other required technical documentation
Requirements
Nice to have: Intermediate or advanced knowledge of the AN/BYG-1 Combat Control System
Nice to have: Experience with BYG-1 software installation processes
Nice to have: Experience supporting submarine combat system test, integration, installation, or platform build activities
Nice to have: Experience with Linux system administration and network administration
Solve and validate complex aerodynamic and fluid dynamics problems, translate engineering requirements into computational models, and automate workflows using Python.
Locations (5)
United States
Canada
Australia
New Zealand
United Kingdom
Compensation
Output-based, with payment per task that meets project specifications.
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools.
Requirements
Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids.
Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience.
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools
Requirements
Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids
Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience
Execute CFD and aerodynamic analysis workflows using command-line-accessible tools.
Requirements
Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids
Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience