Senior Machine Learning Engineer

Senior Machine Learning Engineer

This job is no longer open

Splash’s mission is to develop the most innovative event technology to help marketers reach and engage their target audiences. From simplifying event creation to capturing attendee insights and measuring event impact, Splash enables teams to efficiently scale event programs and connect event-driven engagement to business results. More than half of the Fortune 500 use Splash to streamline event marketing execution and optimize performance.

What we’re looking for 🔎

We are looking for a Senior Machine Learning Engineer to join our fast moving team and build great data-driven solutions in the event marketing space. The opportunity is unique and the time is right to help develop amazing new solutions that empower event  professionals with insights in order to plan, execute and follow up on events with success as an objective. 

In this role, you’ll get to…

  • Report directly to the CTO initially and collaborate with them as well as others in Engineering, Product, Customer Success, Solutions, the BI team and others in exploring, framing, validating, prototyping, demonstrating and eventually productizing stellar ML-based solutions.
  • Identify the data sources, data clean up and enrichment opportunities, data pipelines, and making decisions on all aspects of the MLOps pipeline, tools and processes.
  • Work with a great degree of self-direction and in collaboration with the CTO and other stakeholders.
  • Empowered to lead projects from ideation and inception to delivery but you won’t be alone. You’ll have the support and help from others including those with prior experience delivering AI and ML based solutions as well as a full data team currently focused on BI and customer-facing analytics using tools like Sisense, Redshift, Python, Airflow, and others.

On your first day, we’ll expect you to have…

  • Proven experience as a Machine Learning Engineer or similar role over 3+ years
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Strong experience with core ML algorithms such as classification, regression, recommender systems and preferably neural networks as well
  • Ability to write robust code in Python, Flask or equivalent, and ideally either Java or similar tech stack
  • Familiarity with machine learning frameworks and libraries like Tensforflow, scikit-learn, Keras or PyTorch
  • Experience with cloud ML ecosystems on AWS such as SageMaker or equivalent is strongly desired
  • Excellent communication skills
  • Ability to work in a team
  • Goal driven and ability to work with minimal supervision while willing and able to collaborate with others
  • Willingness and ability to tackle ambiguous objectives and work through the necessary steps to derive clarity and opportunity
  • Outstanding analytical and problem-solving skills
  • Comfortable working in a remote team-based environment
  • BSc in Computer Science, Mathematics or related field

What we offer and other fun stuff!

We’re taking a new and improved approach to compensation and the way we #takecare of our Splashers. An approach that makes a lot more sense in this remote world we live in and looking toward the future of work. You can read more here. In a nutshell, we offer…

  • 💰 Competitive base salary and stock options. Our success is your success 📈
  • 💻  Brand new MacBook Pro / Linux and monthly stipend for work-from-home expenses.
  • 🏥  Great healthcare benefits, with paid coverage for you and your family
  • 🌴  Unlimited vacation days, with Splash-specific days off and 2 extra Mental Escape (M.E.) days per month to unplug from work
  •  🗺  Remote first organization
  • A bunch of other great perks/benefits that would make this description too long if we included it 😉

It doesn’t stop there! Although we’re a remote company, we understand the importance of in-person connection. 🛫 We have a yearly company offsite in New York (pending it being safe health-wise) and fun virtual events with the rest of your team and the company (IRL too when it’s safe!).


What’s next?

If you’re interested in joining the team, apply below and you can expect to hear from us soon 🙂. Please give us at least 2 weeks to get back to you. We promise we’re not ignoring you, playing Pokemon all day, or listening to the new J. Cole album on repeat (even though it’s 💯 ). It just takes a little TLC to go through all the applications and see if there’s a possible fit for you here.

When we find the right person, we try to put our best foot forward with an offer that excites you. We consider what you are looking for, the skills and experience you bring, what similar jobs pay and make sure there’s fair pay among those you’ll be working with. The base compensation amount for this role is targeted at $160,000-$200,000 for those who are located in the United States. In addition to your cash compensation, every full-time employee will be able to participate in our employee equity program. Final offer amounts are determined by multiple factors including your experience and expertise and may vary from the amounts listed above. What we can’t quantify for you are all the exciting challenges, supportive team, and amazing culture we enjoy. Please click here to gain invaluable insights from our Splash Culture Book.

At Splash, we believe that big ideas and great communities come from a team that celebrates diversity of all kinds. We are committed to being an equal opportunity workplace and encourage people from all backgrounds to apply. 

*We collect personal information (PI) from you in connection with your application for employment with Splash, including the following categories of PI: identifiers, 8 personal records, 9 commercial information, 10 professional or employment information, 11 non-public education records 12 and inferences drawn from your PI. 1314 We collect your PI for our purposes, including performing services and operations related to your potential employment. For additional details or if you have questions, contact us at [privacy@Splash.com]. 

This job is no longer open
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