Principal Machine Learning Engineer - Remote Eligible

Principal Machine Learning Engineer

KUNGFU.AI is a management consulting and engineering firm focused exclusively on artificial intelligence. We empower CEOs and senior executives to leverage the full potential of AI so they remain competitive in a rapidly evolving world.

Our expert team delivers AI strategy and bespoke production-grade solutions that allow clients to rapidly realize value. We stand apart because we implement our AI strategies into production quickly, safely, and responsibly.

Outside of our virtual walls we are painters, foodies, cocktail connoisseurs, musicians, crossword-doers, athletes, dungeon masters, non-profit board members, and more. We'd welcome the opportunity to meet you.

This position sits at the cutting-edge of machine learning and software engineering. As a Principal Machine Learning Engineer, you will be responsible for designing and developing machine learning applications for our growing client base. You should have strong programming skills and must have extensive professional experience using machine and/or deep learning in one or more problem domains (computer vision, natural language processing, etc.).

You will join a team of experienced engineers and entrepreneurs bringing practical AI solutions to the market.

Here's what you'll be doing:

• 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. You'll direct the team, and ultimately own, the specification of requirements to build engineering solutions that meet client expectations.
• 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.

What we'd like to see:

• Excellent interpersonal skills and the ability to brainstorm, collaborate, and problem solve with engineers at all levels in order to deliver on client expectations efficiently and exceptionally.
• Someone who is 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.
• We're huge on continuous learning. We always look for individuals that have 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. Note: we commonly use Docker, python, pytorch, and AWS, to name a few, but we are ultimately tooling agnostic and service a large variety of stacks in our client base.
• Someone who is proficient and comfortable programming in Python, as that's mostly what we use here.
• Experience with object-oriented programming, code hygiene, basic version control, etc. We work on PoCs and prototypes but also deploy and productionalize a portion of our work so deep software engineering ability is imperative.
• Someone who's comfortable working with deadlines and is confident in their time management.
• Masters or Ph.D. in Computer Science or equivalent work experience.

This is a full-time position that is remote. Compensation includes competitive salary, company stock grant, top ('gold') level of health, dental and vision insurance (KUNGFU.AI covers 100% of your premiums and 50% for any dependents), health and dependent flexible spending accounts, short- and long-term disability insurance, unlimited vacation (that you're encouraged to take), paid parental leave, and more.

If this opportunity gets you fired-up, we can't wait to meet you! Please send your resume along with a cover letter explaining why you're passionate about the idea of joining KUNGFU.AI and a great fit for this role.

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

We are committed to building an inclusive culture that's professional and effective, while also fun, collaborative and open. We are proud to be the first company to take The Startup Diversity and Inclusion Pledge, which one of our co-founders started. We actively encourage people from underrepresented groups to apply. We believe that a diverse and inclusive workforce fosters more creative ideas, conversations, and results.

We also believe in using AI for Good in both our client projects and our corporate philanthropy. Our values are incredibly important to how we show up for each other, our clients, and for society at large. We expect all of our team members to be: inquisitive, in that they have an innate desire to learn and teach; inventive, in that nothing (ego, fear, etc.) gets in the way of innovation; open, in that they willingly share their learnings and experience with all; caring, in that they prioritize self-care, empathy, and an understanding of others; trustworthy, as that underpins all of the above.