[Remote] Machine Learning Engineer - Intern

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

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