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Co Op Remote Non Profit Engineering Jobs (NOW HIRING)

Ancestry

Machine Learning Engineer, Co-op

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and ... Engineering or related quantitative field with a strong data focus. * Proficient in Python and ...

Lehigh University

$67K - $90K/yr

Bethlehem, Fully Remote Categories: Student Life Director of Internships and Employer Partnerships ... Design and scale high-impact internship and co-op opportunities by analyzing workforce trends and ...

Samsara

Digital Innovation Co-Op - Supply Chain

$80K - $99K/yr

This is a remote opportunity. This role is open to candidates residing in the US except the San ... Have foundational programming skills in Python and an interest in ML or AI applications. * You are ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

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How much do co op remote non profit engineering jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for co op remote non profit engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Co Op Remote Non Profit Engineering vs Co Op Remote Non Profit Data Analysis?

AspectCo Op Remote Non Profit EngineeringCo Op Remote Non Profit Data Analysis
Required CredentialsEngineering degree or related certificationsData analysis or statistics certifications
Work EnvironmentRemote, collaborative engineering projectsRemote data collection, analysis, reporting
Employer & Industry UsageNon profit organizations needing technical solutionsNon profit organizations focusing on data-driven decisions

Both roles are remote internships within non profit sectors, but engineering focuses on technical development and infrastructure, while data analysis emphasizes interpreting data to inform decisions. The choice depends on your skills and career interests in technical engineering or data-driven roles within the non profit industry.

What cities are hiring for Co Op Remote Non Profit Engineering jobs? Cities with the most Co Op Remote Non Profit Engineering job openings:
What are the most commonly searched types of Remote Non Profit Engineering jobs? The most popular types of Remote Non Profit Engineering jobs are:
What states have the most Co Op Remote Non Profit Engineering jobs? States with the most job openings for Co Op Remote Non Profit Engineering jobs include:
Co Op Remote Non Profit Engineering jobs near you
Machine Learning Engineer, Co-op

Machine Learning Engineer, Co-op

Ancestry

Remote

Part-time

Posted 7 days ago

Job description

About Ancestry:
When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.
Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.
Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people's lives? Join the curious.
Ancestry seeks an exceptional, passionate, and highly motivated Machine Learning Engineer Co-Op to join our MLE team this summer. The MLE team is responsible for developing, deploying, fine-tuning and optimizing machine learning models and LLMs to enhance customer experiences, improve internal workflows, and drive business impact. We collaborate closely with data scientists, engineers, and product teams to build scalable and efficient ML solutions that power critical features across our platform. As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using agentic frameworks. You will contribute to optimizing model inference, automating ML workflows, and building intelligent AI-driven solutions to improve decision-making and user engagement. This is a part-time, work-study-based opportunity for active students in master's and PhD programs.
What You Will Do:
  • Develop and deploy machine learning and large language models.
  • Build and optimize AI agents to enhance automation and decision-making.
  • Optimize model inference speed, storage efficiency, and scalability for real-world applications.
  • Develop pipelines and MLOps workflows to streamline model training, evaluation, and deployment.
  • Contribute to ML, LLMs, agent evaluation and monitoring platform.
  • Experiment with new ML, LLM, and Agent technologies.

Who You Are:
  • Currently pursuing an advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering or related quantitative field with a strong data focus.
  • Proficient in Python and familiar with ML libraries such as TensorFlow, PyTorch or Scikit-learn.
  • Experience with GenAI, LLMs, and agentic frameworks (LangChain, AutoGen).
  • Strong problem-solving skills, with the ability to write clean, efficient, and scalable code.
  • Strong written and verbal communication skills
  • Curiosity and go-getter attitude
  • Experience with cloud platforms, ML development tools, and ML deployment tools.
  • Nice to have: Familiarity NodeJS or Java
  • Nice to have: Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, OpenSearch), LLM optimization, VLLM library, HuggingFace library or reinforcement learning techniques.

Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For candidates who live in San Francisco, CA, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

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