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As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.
Top Skills:
KubeflowMlflowPythonPyTorchRaySparkXgboost
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As a Staff Machine Learning Engineer, you will design and implement infrastructure and platform features for AI workloads, collaborate with teams, improve SRE practices, and mentor colleagues.
Top Skills:
AnsibleDockerGitlab CiGoHelmJ2EeJavaKubernetesLinuxNvidia GpusPrometheusPythonSplunk
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Staff Machine Learning Engineer will design and implement infrastructure for AI workloads, ensure GPU clusters' efficiency, and collaborate with teams on AI-driven solutions, while mentoring colleagues and contributing to operational improvements.
Top Skills:
AnsibleGitlab CiGoHelmJavaKubernetesNvidia GpusPrometheusPythonSplunk
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.
Staff Engineers provide client-facing technical leadership and exhibit a high capacity for navigating ambiguity, system-level design, and ROI-driven strategic thinking. Directors will minimally support Staff Engineers in technical project leadership, often delegating complex and “big-picture” leadership tasks as projects progress. Additionally, Staff Engineers begin to cross-coordinate with other arms of the business like marketing, business development, and other project teams
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. 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
- 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 needsLeading 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
- Serving as technical lead for projects with minimal aid from Directors of Engineering
- Contributing to internal initiatives and processes like interviews, internal tooling development, evolving best practices, and others
What we'd like to see:
- 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 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
- 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
- Masters or Ph.D. in Computer Science or equivalent work experience
What’s in it for you:
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 excites you, 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.
KUNGFU.AI Culture
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.
KUNGFU.AI Austin, Texas, USA Office
Austin, TX, United States, 78701
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
