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Remote Language Learning App Jobs in Michigan (NOW HIRING)

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Experience creating C/C++ applications utilizing modern language features and build systems ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Lovable Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Lovable Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Lovable Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

$166K - $191K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... learning and natural language processing * Experience leading technical workstreams within a ...

Systems Integration Developer

Ann Arbor, MI · On-site +1

$150K - $180K/yr

Ability to use natural language authoring, variable/condition logic, and event triggers in Copilot ... Familiarity with Azure services including Logic Apps, Azure AD, Data Factory, SQL, App Services ...

Showing results 21-40

Remote Language Learning App information

What is a remote language learning app?

A remote language learning app is a digital platform or software that allows users to learn new languages from anywhere using an internet-connected device. These apps often include interactive lessons, quizzes, and practice exercises for reading, writing, listening, and speaking. Many remote language learning apps use features like speech recognition, spaced repetition, and gamification to make learning more engaging and effective. They are popular for their flexibility, convenience, and wide range of available languages.

What are the key skills and qualifications needed to thrive as a remote language learning app developer?

To thrive as a Remote Language Learning App Developer, you need strong programming skills (such as in JavaScript, Swift, or Kotlin), experience with mobile app development, and a background in UI/UX design or educational technology. Familiarity with frameworks like React Native or Flutter, cloud services, and agile development methodologies is typically required. Excellent problem-solving, communication, and collaboration skills help you work effectively with distributed teams and understand user needs. These skills ensure the creation of engaging, functional, and accessible apps that effectively support language learners worldwide.

What are some common challenges faced by remote language learning app instructors, and how can they be overcome?

Remote language learning app instructors often face challenges such as maintaining student engagement, adapting teaching methods to a virtual environment, and managing time zone differences with a global student base. To overcome these, instructors frequently use interactive tools, varied multimedia content, and personalized feedback to keep learners motivated. Additionally, clear communication and flexible scheduling help in building rapport and accommodating diverse learners. Collaboration with curriculum designers and tech support teams is essential to continually improve the learning experience.

What is the difference between Remote Language Learning App vs Language Tutor?

AspectRemote Language Learning AppLanguage Tutor
CredentialsTypically no formal credentials required, but certifications can enhance credibilityOften requires teaching certifications or language proficiency credentials
Work EnvironmentOnline platform, flexible hours, self-pacedUsually live sessions, scheduled meetings, can be remote or in-person
Employer & Industry UsageUsed by educational companies, language platforms, and self-employed tutorsEmployed by language schools, private clients, or freelance
Search & Comparison IntentLooking for scalable, automated language learning solutionsSeeking personalized, interactive language instruction

The main difference between a Remote Language Learning App and a Language Tutor lies in their delivery and interaction. Apps provide automated, self-guided learning experiences without live interaction, while language tutors offer personalized, real-time instruction. Both serve different learner needs, with apps being more flexible and scalable, and tutors providing tailored feedback and engagement.

What are popular job titles related to Remote Language Learning App jobs in Michigan?

For Remote Language Learning App jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Language Learning App jobs in Michigan look for?

The top searched job categories for Remote Language Learning App jobs in Michigan are:

What cities in Michigan are hiring for Remote Language Learning App jobs?

Cities in Michigan with the most Remote Language Learning App job openings:

Senior Machine Learning Engineer

Canopy

Detroit, MI • On-site, Remote

$126K - $180K/yr

Full-time

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Re-posted 26 days ago


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Job description

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat vehicle and content theft. In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior engineers, and influencing system architecture decisions. This is a high-impact role with visibility across engineering and product leadership.
Responsibilities:
  • Contribute to the design, development, and deployment of robust machine learning models for production use in real-world security applications.
  • Develop within the full machine learning lifecycle; from problem definition to data pipeline design, model development, validation, deployment, and monitoring.
  • Establish and refine best practices in our ML system architecture, CI/CD pipelines for ML, and reproducible research methodologies.
  • Collaborate with cross-functional stakeholders including product managers, data engineers, and MLOps teams to ensure seamless model integration and delivery.
  • Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar, accelerometer) to derive insights and guide modeling strategies.
  • Stay ahead of industry advancements in machine learning, AI sensing, and signal processing, incorporating the latest innovations into Canopy's technology stack.
  • Mentor and guide junior engineers and contribute to the hiring process and technical reviews.

Requirements
  • 5+ years of professional experience developing and implementing ML for perception systems with expertise in at least one of either RADAR, camera, or LiDAR.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
  • Proven ability to develop production-grade ML applications for training, evaluation and inference on large-scale datasets.
  • Experience creating C/C++ applications utilizing modern language features and build systems, preferably for porting ML inference applications from Python to edge devices/embedded systems.
  • White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural network models and architectures (CNNs, transformers) with significant experience applying them for perception systems.
  • Experience implementing and applying dynamic object tracking, with experience using sensor fusion as a preference.
  • Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and services, virtual computers and clusters.
  • Proficiency in signal processing techniques such as time/frequency-domain processing (e.g. Fourier Transform), filtering, and noise reduction.
Preferred Qualifications:
  • Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning.
  • Experience using cloud computing platforms, e.g., AWS or GCP.
  • Experience with MATLAB for algorithm prototyping and research.
  • Experience with Docker or containerisation.
  • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $126,000 - $180,000
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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