Senior Machine Learning Engineer

Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories and demonstrate the unique value of earned media. Muck Rack’s Public Relations Management (PRM) platform enables organizations to build relationships with the media, manage crisis risk and demonstrate PR’s impact on business outcomes.

Founder controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, & customer devotion and infuse these values into everything we do.

We’re looking for a Senior Machine Learning Engineer to join our quickly growing team and make a big impact.

As a Senior Machine Learning Engineer in the Tech org, you’ll work closely with data scientists, software engineers, product managers, and designers, to develop Machine Learning technologies which help simplify the jobs of our users. You’ll work on major technical projects with large data volumes, lead the building of new features, and help shape our engineering culture and processes. Our technology team is focused on scale, quality, delivery, and thoughtful customer experience. 

To be set up for success in this role, you’ll need to have:

• 5+ years total professional experience building Machine Learning products within user-facing software apps
• A capacity for a high degree of autonomy and out-of-the-box thinking
• A commitment to collaborating closely with other engineers and across functions

If any of the below also describe you, this could be an exciting opportunity:

• Worked on a complex, high-traffic site at a startup or software-as-a-service company, ideally with large amounts of data
• Experience with text modeling, NLP, and large language models
• Experience serving GPU-intensive models in large-scale production environments
• Interest in search
• Interest in journalism, news, media or social media

In addition, we’re always looking for candidates who:

• Perform an analysis to make a recommendation to other team members as to whether machine learning technologies can be used to solve a given problem, and how best to integrate the technologies with the rest of Muck Rack’s application ecosystem
• Research and evaluate new ML Engineering methodologies, approaches, and solutions
• Test, deploy, and monitor supervised or unsupervised learning models
• Write queries (SQL, elastic search) to grab the right set of data to solve their problem
• Build tools to enable other data scientists to scale their knowledge and increase impact
• Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
• Participate in code reviews and model reviews of their teammates

Interview Overview

Below you'll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• 1 hour zoom interview with the hiring manager
• Take-home coding assignment (2 hours max)
• Peer interviews, including a 30 min code review discussion
• Final call(s) with executive team member(s) 

Salary

The starting salary for this role is between $140,000 - $170,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

Why Muck Rack?

Remote Work, Forever. We’re a fully distributed team and have pledged to remain that way forever. We offer employees a full home office setup, phone & internet reimbursement, and a monthly coworking membership. We build culture through virtual and in-person team bonding opportunities including team lunches, friendly competitions, and cele