[Remote] Machine Learning Engineer - Intern

Remote, USA Full-time
Note: The job is a remote job and is open to candidates in USA. KUNGFU.AI is a management consulting and engineering firm focused exclusively on artificial intelligence. The Engineering Intern will be responsible for designing and developing AI and machine learning applications for clients, while gaining experience through collaboration with senior engineers. Responsibilities Conducting diverse machine learning experiments in a collaborative environment that values knowledge sharing, inclusivity, and trust Partnering with engineers in a pair programming setting to translate theoretical models into robust, scalable solutions Engaging in client-facing activities, building lasting partnerships by effectively bridging cutting-edge technology with real-world business needs Collaborating with cross-functional project teams and fostering a culture of continuous improvement Staying at the forefront of machine learning advancements, ensuring our solutions are informed by the latest techniques and innovations Skills Must be able to work a minimum of 15 hours per week, between 9:00 a.m. and 5:00 p.m. CST Candidates must be in their Senior year of college or Graduate students Candidates must be legally authorized to work in the United States Familiarity with Machine Learning concepts Familiarity with Computer Vision Familiarity with Natural Language Processing Familiarity with Time-Series Familiarity with Classification Familiarity with Reinforcement Learning Experience working on machine learning projects from coursework or previous internships Proficient and comfortable programming in Python Experience with object-oriented programming, code hygiene, and basic version control Adaptability to new and different technologies, industries, and environments Comfortable working with deadlines and confident in time management Great communication skills, comfortable communicating with both technical and non-technical audiences A thirst for knowledge and a love of problem-solving Candidates located in Austin are preferred Company Overview KUNGFU.AI provides data, machine learning and artificial intelligence services. It was founded in 2017, and is headquartered in Austin, Texas, USA, with a workforce of 11-50 employees. Its website is
Apply Now

Similar Jobs

ADMINISTRATIVE SPECIALIST

Remote, USA Full-time

Collections Specialist

Remote, USA Full-time

Machine Learning Intern, Regulatory

Remote, USA Full-time

Junior Designer

Remote, USA Full-time

[Remote] Software Engineer Intern (Inference Infrastructure) - 2026 Start (PHD)

Remote, USA Full-time

Nighttime Care Concierge

Remote, USA Full-time

[Remote] Machine Learning Engineer Intern (Monetization GenAI) - 2026 Start (BS/MS)

Remote, USA Full-time

[Remote] Summer 2026 Internship, AI & Advanced Analytics

Remote, USA Full-time

[Remote] Learning Experience Developer

Remote, USA Full-time

Account Executive

Remote, USA Full-time

Specialist Paralegal – International Trade Commission (ITC) / IP Litigation

Remote, USA Full-time

Machine Learning Researcher​/Engineer; Foundational Models

Remote, USA Full-time

**Experienced Customer Service Call Center Representative (Remote) with Own Equipment**

Remote, USA Full-time

Business Intelligence Developer (Power BI, Ongoing Work)

Remote, USA Full-time

**Experienced Entry-Level Virtual Customer Service Representative – Revolutionizing Customer Experience at blithequark**

Remote, USA Full-time

Research Analyst – US Energy Projects

Remote, USA Full-time

Experienced Remote Data Entry and Customer Service Representative – Part-Time, Entry-Level Opportunity with Flexible Scheduling and Competitive Compensation

Remote, USA Full-time

Sr. Planner - Travel Demand Modeler

Remote, USA Full-time

**Experienced Customer Success Specialist – EdReady Implementation and Partnership Development**

Remote, USA Full-time

Experienced Remote Live Chat Support Specialist - Delivering Exceptional Customer Service and Support from the Comfort of Your Own Home with blithequark

Remote, USA Full-time
Back to Home