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Machine Learning Engineer

Spekit

This job is no longer accepting applications

See open jobs at Spekit.See open jobs similar to "Machine Learning Engineer" Bonfire Ventures.

Software Engineering

United States

Posted on Wednesday, October 18, 2023

Our Mission

Headquartered 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 Product

Say 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.

Where is Spekit going?

We refer to the flow of work as the end user's context. This includes what app they are using, what page/URL they are on, and what task they are performing or need to perform. Our goal is to leverage information about this context and combine it with information and resources that our customers make available to their end users to accelerate our customer's ability to be more effective, to close more sales, lower response times on support tickets, more effectively leverage available resources to reply to emails or recommend sharing proven assets like PDFs or power points, etc.

Given our advantage over incumbent systems in how close we are to our end users, we want to iterate toward our vision of predicting needs, recommending key information, and creating a personalized work experience that helps individuals and teams do way more with less effort.

Over the next year, we will be solving a few key problems around recommending content, supporting the importing, formatting, and organization of content, improving information retrieval through search, and instrumenting and optimizing our end-user workflow to create a flywheel of content creation, curation, and consumption.

Why are we hiring for a ML Engineer?

We want to build a small but amazing team whose members approach problems iteratively and curiously. We want pragmatic individuals that go deep enough to understand a problem, consider multiple solutions and weigh their trade-offs, use data to inform decisions, and are comfortable making mistakes through trial/error and experimentation.

Skills we're looking for:

Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
Impeccable analytical and problem-solving skills
Familiarity with data structures, data modeling, and software architecture
Proficiency in Python and Python ML libraries, R, Java
Experience with data processing to clean, preprocess, augment, and validate data
Deep experience deploying a variety of models to production
Experience with big data technologies like Apache Spark, Kafka, and AWS Kinesis and distributed systems when dealing with large, complex data sets
Experience with Natural Language Processing techniques and libraries, neural networks, deep learning architectures and deep learning frameworks
Experience conducting experimentation, A/B testing methodologies and optimization of models
Excellent time management and organizational skillsDesire to learn

The ideal candidate:

Knows best practices but is also experienced enough to know when they aren't the best
Strives to continuously improve data, systems, code, communication, and execution
Puts achieving business and customer outcomes over wanting to use a specific technology
Can manage their own work and are comfortable managing ambiguity to drive eventual clarity
Is willing and excited about wearing different hats to fill in gaps in knowledge around a project
Has a passion for what they do and share that passion to grow others around them

What we are not looking for:

That are more interested in tools and techniques over customer-oriented outcomes
Overly specialized, are less self-sufficient, and quick to say "that's not my job" when something is unfamiliar
Who require everything to already be in place in order to do their job
Who prefer to work solo on projects and see collaboration as a waste of time and energy
Who struggle to shift directions or adapt to the typical change in smaller startups

What's in it for you?

- 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 Team

At 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!

This job is no longer accepting applications

See open jobs at Spekit.See open jobs similar to "Machine Learning Engineer" Bonfire Ventures.

See more open positions at Spekit

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Machine Learning Engineer

Skills we're looking for:

The ideal candidate:

What we are not looking for: