Full-Time

Principal Machine Learning Engineer

Machine Learning, Engineering

Posted on 9/2/2025

KUNGFU.AI

KUNGFU.AI

51-200 employees

AI strategy consulting and production-ready engineering

No salary listed

No H1B Sponsorship

Remote in USA

Remote

Due to ITAR compliance and regulations, we are only able to hire US Citizens and Green Card Holders.

US Citizenship Required

Category
AI & Machine Learning (1)
Required Skills
Python
Machine Learning
Computer Vision
Requirements
  • Strong programming skills
  • Extensive professional experience using machine and/or deep learning in one or more problem domains (computer vision, natural language processing, etc.)
  • Proficient and comfortable programming in Python
  • Experience with object-oriented programming, code hygiene, basic version control
  • Masters or Ph.D. in Computer Science or equivalent work experience
Responsibilities
  • Designing and developing bespoke machine learning models, transforming complex challenges into impactful deliverables for clients on-time and on-budget
  • Conducting diverse machine learning experiments in a collaborative environment that values knowledge-sharing, inclusivity, and trust
  • Making system-level architecture decisions, especially with regards to models, cloud deployment strategies, software design, and other production-related concerns
  • Working closely with project leads of other disciplines to navigate ambiguous project direction and formalize actionable engineering plans
  • Ensuring project teams maintain an ROI-driven mindset while executing engineering project plans
  • Occasionally serving as the accountable party for engineering deliverables on projects when a Director is not staffed
  • Partnering with engineers in a pair programming setting to translate theoretical models into robust, scalable solutions
  • Engaging in client-facing activities, building lasting relationships as a trusted advisor by effectively bridging cutting-edge technology with real-world business needs
  • Leading and mentoring project teams, guiding them through machine learning projects and cultivating a culture of continuous improvement
  • Staying at the forefront of machine learning advancements, ensuring our solutions are informed by the latest techniques and innovations
  • Contributing to internal initiatives and processes like interviews, internal tooling development, evolving best practices, and others
Desired Qualifications
  • Excellent interpersonal skills and the ability to brainstorm, collaborate, and problem solve with engineers at all levels
  • Skilled at driving work in client-facing environments and driving consensus while balancing the needs of internal and external stakeholders
  • Demonstrated experience in communicating high-level technical details to clients of technical and non-technical backgrounds
  • An almost insatiable thirst for knowledge
  • An engineer who can tell stories from a professional setting about the majority of the topics listed below
  • Extensive professional experience building, designing, and deploying machine learning systems using a number of different tool stacks, techniques, and deployment paradigms
  • Someone who's comfortable working with deadlines and is confident in their time management

KUNGFU.AI is a management consulting and engineering firm focused exclusively on artificial intelligence. It helps CEOs and senior executives use AI to stay competitive, delivering AI strategy and bespoke production-grade solutions that rapidly realize value. The company differentiates itself by implementing AI plans into production quickly, safely, and responsibly, not just giving advice. Its goal is to help clients realize value from AI and maintain a competitive edge in a fast-changing business landscape.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Austin, Texas

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Gartner validates AI-native model disrupting traditional consulting in 2026.
  • Awarded DIU contract March 26, 2025, for biosurveillance AI with Cyberhill.
  • AI evolves to core functions in 2026, aligning with strategy-engineering focus.

What critics are saying

  • Cyberhill leads DIU contract; underperformance terminates KUNGFU.AI in 6-12 months.
  • Scale AI's $1B expansion displaces Austin HQ pipelines in 12-18 months.
  • DIU rejects prototype in 3-6 months, halting funding and reputation.

What makes KUNGFU.AI unique

  • KUNGFU.AI achieves 95% POC-to-production success with full-stack AI engineering.
  • Founders' 2018 Clairity FDA success in breast cancer AI sets biomedical expertise.
  • Developed DoD CDAO AI playbook backed by $1.8 billion budget for responsible AI.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Remote Work Options

Paid Parental Leave

Company News

Cyber Technology Insights
Mar 26th, 2025
Cyberhill Partners Chosen for DoD AI Biosurveillance

Cyberhill is working in partnership with data.world and KUNGFU.AI to deliver an integrated solution combining secure software infrastructure, knowledge-graph-based analytics, and AI-powered threat detection.

PR Newswire
Mar 26th, 2025
Cyberhill Partners Selected To Support Dod Biosurveillance Initiative With Ai-Driven Capabilities

RESTON, Va., March 26, 2025 /PRNewswire/ -- Cyberhill Partners, in partnership with data.world and KUNGFU.AI, has been awarded a contract with the Defense Innovation Unit (DIU) to develop a modernized platform to enhance Department of Defense (DoD) biosurveillance capabilities using artificial intelligence, machine learning, and advanced data analytics. The program will be led by the Office of the Assistant Secretary of Defense for Nuclear, Chemical, and Biological Defense Programs.The selection follows a rigorous evaluation process in which 78 companies submitted solutions. The program, led by the Chemical and Biological Defense (CBD) program in partnership with the Defense Innovation Unit (DIU), aims to enhance the DoD's ability to detect and respond rapidly to emerging biological threats."DoD must provide the Joint Force with revolutionary capabilities to deter or prevail against adversary's biological weapons," said Deputy Assistant Secretary of Defense Ian Watson for CBD. "Leveraging AI, machine learning, and big data analytics will transform biosurveillance into a predictive and responsive capability during competition, crisis, and conflict."Cyberhill is working in partnership with data.world and KUNGFU.AI to deliver an integrated solution combining secure software infrastructure, knowledge-graph-based analytics, and AI-powered threat detection. Cyberhill brings deep experience delivering secure enterprise technologies in classified and mission-critical environments."At Cyberhill, we have seen how important it is to get leading-edge commercial software in the hands of the warfighter," said Jake McAndrew, Partner at Cyberhill Partners. "We are proud to stand alongside our partners to drive private-sector innovation at the speed and efficiency required to meet the mission's demands."The prototype will undergo evaluation in simulated threat environments to measure its performance in providing real-time decision support and operational readiness."The ability to rapidly identify and assess biological threats is critical to national security," said RDML Brandon Taylor, DHA Public Health Director

PR Newswire
Dec 12th, 2024
Corporate Directors Cite Economic Conditions, Regulatory Requirements, Cybersecurity And Competition For Talent As Top Concerns For 2025

NACD's "2025 Governance Outlook Report" Includes Boards' Top Priorities and Trends and Governance Leaders' Perspectives on Issues Changing Board PracticesWASHINGTON, Dec. 12, 2024 /PRNewswire/ -- The National Association of Corporate Directors (NACD), the authority on boardroom practices representing more than 24,000 corporate directors, today released its "2025 Governance Outlook: Preparing for Risk, Taking Opportunities," a forecast of trends and issues that directors and the companies that they serve are likely to face in the year ahead

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