Machine Learning Engineer (ML Ops)
Company: Spekit
Location: Denver
Posted on: March 3, 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
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