Principal Machine Learning Engineer

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