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Member of Technical Staff - Applied Machine Learning Lead

Liquid AI, an MIT spin-off, is a foundation model company headquartered in Boston, Massachusetts. Our mission is to build capable and efficient general-purpose AI systems at every scale.


Our goal at Liquid is to build the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will get meaningfully, reliably and efficiently integrated at all enterprises. Long term, Liquid will create and deploy frontier-AI-powered solutions that are available to everyone.


What This Role Is


We're seeking a lead to spearhead customer engagements and orchestrate our implementation of Liquid Foundation Models (LFMs). This strategic role will bridge the gap between customer needs and technical implementation; decoding customer challenges, architecting technical solutions, and leading our engineering team through flawless execution.


You're A Great Fit If
  • You have deep experience leading technical ML implementations with enterprise customers, including requirements gathering, solution design, and delivery management
  • You possess deep technical knowledge of foundation models with hands-on experience in customization, fine-tuning, and deployment strategies
  • You excel at distilling ambiguous customer problems into clear technical specifications that can be executed by implementation teams
  • You can effectively communicate complex technical concepts to both technical and non-technical stakeholders, serving as the primary technical liaison with customers
  • You have a proven track record of leading cross-functional teams to deliver complex ML solutions on time and to specification


What You'll Actually Do
  • Own end-to-end customer relationships from technical discovery through implementation and success validation
  • Translate customer use cases into detailed technical implementation plans for the Applied ML Engineering team
  • Conduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteria
  • Build and maintain the technical roadmap for each customer engagement, identifying risks and dependencies early
  • Serve as the escalation point for complex technical challenges encountered during implementations
  • Collaborate with product and engineering teams to align customer needs with our product roadmap
  • Develop reusable implementation patterns and technical assets that accelerate future customer engagements


What You'll Gain
  • The opportunity to define how cutting-edge LFM technology transforms businesses across industries
  • Leadership experience building a high-performing technical implementation function from the ground up
  • Visibility across the entire customer lifecycle, from initial engagement through successful deployment
  • The satisfaction of seeing your technical vision translated into tangible customer outcomes that redefine what's possible with foundation models


This role requires someone who can thrive at the intersection of deep technical expertise and strategic leadership. You'll need to be comfortable making technical decisions with incomplete information, guiding teams through ambiguity, and being the definitive technical voice for our customers.

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Member of Technical Staff - Applied Machine Learning Lead, Liquid AI

At Liquid AI, an innovative MIT spin-off based in Boston, we are on a mission to revolutionize AI systems for users at every scale. As a Member of Technical Staff - Applied Machine Learning Lead, you'll play a vital role in bridging customer needs with technical execution, becoming a key figure in our quest to build the most capable general-purpose AI solutions. In this exciting position, you’ll orchestrate customer engagements while taking the lead on implementing our Liquid Foundation Models (LFMs). Your deep experience in technical ML implementations with enterprise customers is what we need to transform ambiguous problems into streamlined technical solutions. You’ll collaborate with a talented engineering team, conducting technical discovery sessions to capture and understand the requirements and success criteria of our clients. Throughout the engagement, you’ll maintain end-to-end relationships, steering the technical roadmap, identifying risks early, and escalating any complex challenges. At Liquid AI, you’ll not just deliver complex ML solutions, but you’ll also have the chance to shape how cutting-edge technology transforms businesses across various industries. Join us to make your mark in the rapidly evolving world of AI, leading with both technical acumen and strategic insight while witnessing your ideas tangibly affect customer outcomes.

Frequently Asked Questions (FAQs) for Member of Technical Staff - Applied Machine Learning Lead Role at Liquid AI
What are the responsibilities of the Member of Technical Staff - Applied Machine Learning Lead at Liquid AI?

The Member of Technical Staff - Applied Machine Learning Lead at Liquid AI is responsible for spearheading customer engagements, translating client use cases into technical implementation plans, and overseeing projects from discovery through successful deployment. This role acts as the primary technical liaison with customers, ensuring that their challenges are met with tailored solutions executed by our engineering team.

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What qualifications are needed for the Member of Technical Staff - Applied Machine Learning Lead at Liquid AI?

To be a successful Member of Technical Staff - Applied Machine Learning Lead at Liquid AI, candidates should possess significant experience in technical ML implementations and a deep understanding of foundation models. A proven track record in leading cross-functional teams, along with the ability to communicate complex technical concepts clearly, is also essential for this role.

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How can the Member of Technical Staff - Applied Machine Learning Lead impact customer relationships at Liquid AI?

The Member of Technical Staff - Applied Machine Learning Lead has a direct impact on customer relationships by owning end-to-end interactions. They ensure customer success by translating requirements into actionable plans, conducting discovery sessions to identify key success criteria, and maintaining a technical roadmap throughout the engagement process.

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What skills are essential for the Member of Technical Staff - Applied Machine Learning Lead at Liquid AI?

Essential skills for the Member of Technical Staff - Applied Machine Learning Lead at Liquid AI include strong problem-solving abilities, technical proficiency in ML and foundation models, and excellent communication skills. The ability to navigate technical ambiguities and lead a technical team while effectively translating customer needs into executable solutions is crucial.

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What is the career growth potential for the Member of Technical Staff - Applied Machine Learning Lead at Liquid AI?

The career growth potential for the Member of Technical Staff - Applied Machine Learning Lead at Liquid AI is significant. This role offers opportunities to build a high-performing technical implementation function, gain visibility across customer lifecycles, and influence the adoption of cutting-edge LFM technology across various industries.

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Common Interview Questions for Member of Technical Staff - Applied Machine Learning Lead
Can you describe your experience with implementing machine learning solutions for enterprise clients?

When answering this question, focus on specific projects you've managed, the challenges faced, and the outcomes achieved. Highlight your ability to translate complex requirements into successful implementations that meet client needs.

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How do you prioritize tasks and manage deadlines in a technical project?

Discuss your approach to prioritization, such as using project management tools or methodologies like Agile. Emphasize your ability to balance multiple tasks while adhering to deadlines, and provide an example of a time you successfully managed competing priorities.

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What strategies do you use to communicate complex technical concepts to non-technical stakeholders?

Talk about your methods for simplifying complex information, perhaps using analogies or visuals to aid understanding. Mention any specific instances where your communication skills made a significant impact on project success.

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How do you deal with unexpected challenges during a project?

Describe your problem-solving process when faced with unexpected issues, including how you assess the situation, communicate with your team, and devise alternative solutions to keep projects on track.

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What experience do you have in leading cross-functional teams?

Illustrate your leadership style and provide examples of successful collaborations with various teams, emphasizing how you foster communication and alignment around project goals to achieve desired results.

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How do you ensure that technology solutions align with customer needs?

Highlight your approach to gathering customer feedback, conducting discovery sessions, and translating those insights into technical solutions that meet their specific requirements and expectations.

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Can you explain your experience with foundation models and their deployment?

Share your hands-on experience customizing and fine-tuning foundation models, including deployment strategies, and any projects where you successfully implemented such models to solve real-world problems.

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What is your approach to developing technical roadmaps for projects?

Discuss how you construct technical roadmaps by identifying key milestones, risks, and dependencies while aligning them with project objectives and customer feedback to ensure project success.

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How do you handle feedback from clients during a project?

Explain your process for integrating client feedback into ongoing projects, maintaining open lines of communication, and adjusting project plans to accommodate client suggestions and concerns.

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What role do you think emerging technologies will play in the future of machine learning?

Provide your perspective on current trends and future directions in machine learning, emphasizing how you'll leverage emerging technologies to stay ahead and create impactful solutions for customers.

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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 21, 2025

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