ZipRecruiter

Log In

2

Machine Learning Teaching Remote Jobs in Colorado

Ibotta

$228K - $253K/yr

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Ibotta

$206K - $230K/yr

Ibotta is seeking a Staff Machine Learning Engineer to join our Core Data & Analytics team and ... Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107.60K - $147.70K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... learning. #LI-Remote Benefits in our US offices: * Discretionary Time Off Policy (Unlimited ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126.10K - $166.20K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Opportunity We are seeking a senior machine learning software engineer to design, build ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Teaching Remote JobsMachine Learning Teaching Remote Jobs in Colorado

Machine Learning Teaching Remote information

What are the key skills and qualifications needed to thrive as a Machine Learning Teaching Remote, and why are they important?

To thrive as a remote Machine Learning Teacher, you need a strong grasp of machine learning concepts, algorithms, and programming (often with a background in computer science or a related field). Familiarity with tools such as Python, Jupyter Notebooks, TensorFlow, and relevant online teaching platforms or Learning Management Systems is essential. Excellent communication, patience, and the ability to explain complex concepts clearly are vital soft skills for engaging remote learners. These skills ensure that students receive high-quality instruction and support, making advanced topics accessible and fostering effective learning in a virtual environment.

What are the main challenges of teaching machine learning remotely, and how can they be addressed?

One of the main challenges of teaching machine learning remotely is ensuring student engagement and comprehension, especially with complex concepts and hands-on programming tasks. In a remote setting, it's important to leverage interactive tools, frequent check-ins, and collaborative platforms to maintain student participation and provide timely feedback. Additionally, clear communication and well-structured materials help bridge the gap that physical presence often fills. Successful remote instructors often schedule virtual office hours and foster online discussion forums to support students effectively.

What is a Machine Learning Teaching Remote job?

A Machine Learning Teaching Remote job involves instructing students or professionals on machine learning concepts and techniques through online platforms. Educators in this role design and deliver course materials, lead virtual lectures or workshops, and provide feedback on assignments. The position typically allows for flexible work from home and may include mentoring, curriculum development, and staying updated with the latest trends in machine learning. It is ideal for those with expertise in machine learning and a passion for teaching, who are comfortable using digital communication tools.
What are popular job titles related to Machine Learning Teaching Remote jobs in Colorado? For Machine Learning Teaching Remote jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Teaching Remote jobs in Colorado look for? The top searched job categories for Machine Learning Teaching Remote jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Teaching Remote jobs? Cities in Colorado with the most Machine Learning Teaching Remote job openings:
Machine Learning Teaching Remote jobs near you

Machine Learning Engineer

Judi Health

Denver, CO • Remote

Other

Posted 20 days ago

Job description

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

  • Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 
  • Develop and maintain backend services using Python, focusing on AI-driven applications. 
  • Design and implement APIs for seamless integration with AI models and services. 
  • Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 
  • Participate in code reviews, testing, and quality assurance processes. 
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 
  • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 
  • Document and communicate development processes and implementation details with peers and supervisors 
  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. 
  • 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 
  • Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 
  • Proficiency in Python and familiarity with ML libraries such as PyTorch. 
  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 
  • Good written communication skills that enable collaboration in a remote environment. 

Apply