Senior Machine Learning Engineer

New York, New York

Applecart

Decision makers are hard to reach and even harder to influence. Applecart's platform helps you reach decision makers and the people who influence them with your message.

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Applecart is the leading technology company creating a new category of “Decision Maker Marketing”. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business critical decision makers and those they trust —  from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart’s platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them. 

We are hiring a Senior ML Engineer in our New York City office.

About the Role:

As a Senior ML Engineer on the Identity & Ecosystem team, your mission is to lead the engineering work on creating, testing, and deploying ML Models to help improve the data quality and match results.  You will join a colocated, hybrid-remote team of skilled and collaborative software engineers dedicated to continuously delivering business value. You will be creating effective ML workflows from the ground up to enable faster ML model experiments and iteration.

The Identity & Ecosystem team aims to create a robust, scalable, and traceable DMT(decision-maker targeting) platform with an identity infrastructure rooted in a privacy-first philosophy. As a part of this team, you will work to futureproof against industry changes and open pathways to enable new opportunities while maintaining a high level of service for current customers.

Who You Are:

You are an an experienced software developer with a background in software development as well as building ML pipelines. You have a track record of delivering products and collaborating with other engineers and Product Managers. You help define and evangelize coding best practices and are motivated by collective successes over personal ones.

Experiences and Capabilities You Bring:

  • 5+ years of professional software development experience
  • 3+ years of experience in applied AI/ML, developing and evaluating ML models, and deploying models into production.
  • Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods
  • Hands-on experience in end-to-end ML development processes and MLOps, which includes knowledge of some theoretical foundations of NN implementation, inference, model fine-tuning/training, compute and memory architectures, and experience with compute clusters and distributed systems in the cloud.
  • Proficient in ML frameworks such as scikit-learn, SparkML, TensorFlow or PyTorch .
  • Brings a breadth of knowledge of the MLOps ecosystem: vendors, technologies, and algorithms
  • Proficient in one or more programming languages such as Python, Scala, Java, and SQL.
  • Degree in Computer Science, AI/ML or related fields
  • You are an excellent verbal and written communicator. You are an expert at producing visuals for technical communication.

Preferred Qualifications:

  • Experience in or knowledge of building a large-scale data pipeline
  • You are proficient in JVM programming languages
  • You have worked with Cleanroom/Secure Data Sharing technologies
  • You have worked with various data orchestration frameworks (e.g. Apache Airflow, Dagster, etc…)

This is a hybrid role. Work from anywhere on Monday and Friday and in Applecart’s New York City office Tuesday through Thursday. 

Compensation:

Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation.

The base salary range for this role is between $160,000-$200,000, based on the candidate's experience and skills relative to the requirements above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area.

A few facts about us:

  • Applecart’s platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier communications and public affairs firms like Teneo, Sard Verbinnen, and Weber Shandwick.
  • Applecart is growing quickly — 2023 was the fourth year in a row that we doubled the previous year’s bookings. 
  • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle’s online ad measurement platform, a former senior White House advisor, an early sales leader at Google and Twitter, two of the Democratic Party’s most successful pollsters and strategists, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher.
  • Our investors include global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Endeavor CEO Ari Emanuel and Owl Capital Managing Partner Jennifer Fonstad serve on our board.
  • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.
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Tags: Airflow Architecture Computer Science Dagster Data quality Distributed Systems Engineering Java Machine Learning ML models MLOps Nonprofit Oracle Pipelines Privacy Python PyTorch Scala Scikit-learn SparkML SQL Statistical modeling Statistics TensorFlow Testing

Perks/benefits: Career development Equity / stock options Salary bonus

Region: North America
Country: United States

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