Machine Learning Engineer (ML Ops)

Company: Spekit
Location: Denver
Posted on: April 4, 2025

Job Description:

Our MissionHeadquartered out of Denver, CO, we're a small but mighty team on a mission to be the best and easiest way to learn at work. We imagine a world where learning happens in the flow of work. Where employees maximize the minutes of their lives. Where knowledge is contextual, personalized and instantly accessible. Where learning at work is as easy and joyful as it is in our personal lives. This is the future we're building at Spekit.Our ProductSay goodbye to distracted zoom training sessions and lengthy LMS courses your teams will forget. Spekit is the leading just-in-time enablement platform that meets your reps when and where they need it, in the tools they use every day. Spekit takes all of your training & enablement - for applications, processes, sales playbooks, SOPs and more and embeds that training directly in your employees' tools & workflows. Think of Spekit as your employee's digital sidekick that delivers real-time, personalized enablement in their flow of work. Our unified enablement platform prioritizes three pillars: content, user experience, and flexibility. We focus on delivering the right answer, at the right time - all within a streamlined and intuitive interface. No more information overload, no more hunting for answers. That's Simple, yet Spektacular.With over $60M in VC funding from Bonfire Ventures, Matchstick Ventures, The Foundry Group, Renegade Partners, The Operator Collective and other top VCs, thousands of employees from scaling startups to Fortune 400 organizations leverage Spekit to onboard new hires, facilitate change management and drive adoption of their tools and applications.Location:Strongly preferred Denver, CO or the surrounding Denver area. Open to remote US locations ONLY in the following states: CA, CO, MA, MI, NC, NM, NV, NY, OH, TX, UT, WA, WI. We will not be sponsoring visa applications at this time nor accepting resumes from locations outside of these states or outside of the US.Why Are We Hiring a Machine Learning Engineer?We're building a small, high-impact ML team that tackles problems with an iterative and experimental mindset. We're primarily looking for a candidate that has significant experience in an MLOps role. You'll work alongside our existing ML engineer to design and deploy solutions that leverage user context and customer-provided content to improve productivity and outcomes.What You'll DoEnhance & Scale ML Pipelines

• Work closely with our existing ML engineer to refine and scale our retrieval-augmented generation (RAG) pipeline that leverages real-time web page data.
• Ensure our machine learning infrastructure is resilient, scalable, and supports rapid experimentation.Model Development & Deployment
  • Prototype and tune NLP/LLM pipelines to deliver personalized recommendations and support conversational interfaces.
  • Deploy pipelines to production and monitor their performance, continuously optimizing for speed and accuracy.Data Processing & Feature Engineering
    • Clean, preprocess, augment, and validate datasets (both structured and unstructured).Research & Innovation
      • Stay up to date on cutting-edge AI/ML trends, particularly around LLMs, embeddings, vector search, and deep learning architectures.
      • Experiment with new frameworks, libraries, and architectures to keep Spekit at the forefront of innovation.Cross-Functional Collaboration
        • Partner with product managers and other teams to understand user needs and deliver ML solutions that directly impact end-user outcomes.
        • Communicate technical concepts to non-technical stakeholders, ensuring alignment and shared understanding.Skills & Qualifications: Significant Experience in MLOps
          • Model evaluation and explainability.
          • Model version tracking & governance.
          • Creating and using benchmarks, metrics, and monitoring to measure and improve services.
          • Providing best practices and executing POC for automated and efficient model operations at scale.
          • Designing and developing scalable MLOps frameworks to support models based on requirements.
          • Collecting, cleaning, and labeling data for improving AI pipelines and testing.
          • Integrating model development with CI/CD practices.Analytical & Problem-Solving
            • Strong background in probability, statistics, and algorithmic thinking. Comfortable exploring multiple solutions and weighing trade-offs.Technical Proficiency
              • Expertise in Python (and ML libraries).
              • Experience with NLP, neural networks, deep learning architectures, and related frameworks.
              • Experience with evaluating RAG pipelines.
              • Experience with Jupyter notebooks, Google Collab, or similar tool.
              • Experience with Haystack and LangChain.
              • Proven ability to build, train, tune, and deploy models in production environments.
              • Understanding of data structures, data modeling, and software architecture.Experimentation & Optimization
                • Hands-on experience with A/B testing and model optimization approaches.
                • Ability to analyze performance metrics and iterate quickly.Soft Skills & Mindset
                  • Excellent time management and organizational skills.
                  • Comfortable managing ambiguity and driving projects to clarity.
                  • Eagerness to learn, adapt, and experiment.The Ideal Candidate
                    • Proficiency in MLOps: Productionalizing our MLOps for observability, rapid experimentation, debugging pipelines for quality and performance. Knowledge of graph databases is welcome, but not necessary.
                    • Knows Best Practices but Adapts: Knows when standard methodologies apply-and when to flex them for the situation.
                    • Outcome-Oriented: Prioritizes business and customer impact over personal preference for specific tools or technologies.
                    • Self-Sufficient: Can navigate unstructured problems and seek clarity but doesn't wait for everything to be perfectly defined.
                    • Collaborative: Values teamwork, sees feedback and cross-functional engagement as beneficial rather than a bottleneck.
                    • Versatile: Loves wearing multiple hats and stepping into different roles to fill knowledge gaps as projects demand.
                    • Passionate: Truly enjoys the craft of machine learning, sharing their excitement, and helping teammates grow.Who we're not looking for
                      • Tool or Technique-Obsessed: You care more about using a hot new technology than delivering real customer value.
                      • Highly Specialized & Rigid: You resist learning new skills and prefer to stay in a narrow comfort zone.
                      • Needs Everything "Ready-Made": You struggle in environments where processes and structures are still evolving.
                      • Solo Operator: You find collaboration inefficient and prefer working entirely on your own.
                      • Change-Averse: You can't easily pivot as priorities shift in a fast-paced startup environment.$160,000 - $180,000 a yearExact compensation will be determined upon skills, expertise, years of experience and location.Why Join Spekit?Mission-Driven Impact: Shape the future of just-in-time learning, enabling organizations to work smarter and faster.Cutting-Edge Tech: Collaborate on pioneering AI/ML solutions in a space that's ripe for innovation.Culture of Growth: Participate in an environment that prizes curiosity, iteration, and professional development.Flexible Work Environment: Enjoy remote, hybrid, or on-site opportunities, depending on role and location.Competitive Compensation & Benefits: We offer packages designed to support your well-being and growth.We've got you covered!- 100% paid employee Medical, Dental, Vision, and Basic & Optional Life Insurance. Benefits begin on your first day!- Insurance coverage for the whole family, including flexible spending accounts.- Meaningful equity -- every employee is granted stock options when they walk in the door.- Flexible Paid Time Off (PTO) policy.- Hybrid work environment: Casual and open Denver, CO office with the ability to balance your time working from home.- 10 paid holidays days, sick leave, mental health days, and a 1-week end-of-year company shutdown.- Paid parental leave.- L&D stipend that can be used for learning opportunities at your discretion.- The chance to help build from the ground up. The hires we're making now are foundational to our growth as a company!Things we value, culture-wise:Grit & Growth: We run towards challenges. If something seems unsolvable, it unleashes our persistence, our creativity, and our ability to move through uncertainty to create a solution.Simple yet Spektacular: We're in the early stages of building something really great and that requires a lot of hands on deck and a focus on execution. In this journey, we uncover joy in simplicity, obsess over the experience, pivot quickly and always reach for excellence.Tenacity: The endless pursuit of customer love! We believe in collaboration, transparency, integrity, trust, listening, doing what is right, and always going above and beyond for our team and customers.Belonging: We strive to build a company culture inclusive of all voices, differences of opinions, and the permission to be our authentic selves. We accept and celebrate what makes us unique and connects us to one another.Enjoy the Journey: Love what you do and who you do it with! We embrace joy and kindness and we bring our authentic selves to work each day. We seek to share our optimism and compassion with everyone around us.About the TeamAt Spekit, we strive to be the change we seek. And the change we seek is a wealth of diversity in technology and the workplace. As a company with two female founders, we know that diverse and inclusive cultures drive innovative results. We've committed as an organization to elevate underrepresented minorities in technology through awareness, partnerships and even hosting our own scholarships to do our part in changing the status quo. If this sounds like the right place for you, we'd love to chat!
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Keywords: Spekit, Denver , Machine Learning Engineer (ML Ops), Engineering , Denver, Colorado