Machine Learning Engineer - Sr. Software Engineer I

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Media, BiotechnologyIndustries

Requirements

Candidates should have 5+ years of experience as a machine learning engineer, ideally in a B2B SaaS environment, with strong Python proficiency and advanced SQL querying skills. Experience with modern ML and data tooling such as PyTorch, TensorFlow, Spark, and MLFlow is required, along with theoretical knowledge of statistical and machine learning algorithms, preferably evidenced by a degree in a mathematics, computer science, or engineering-related discipline. Experience with data pipelines supporting multi-tenant usage and knowledge of data warehouse environments like Snowflake or BigQuery are also necessary.

Responsibilities

The Machine Learning Engineer will contribute to the design, development, and deployment of machine learning systems at scale. They will collaborate with product managers and engineering teams to deliver ML and generative AI powered features, explore and prototype generative AI technologies, and help define the technical roadmap for ML and AI initiatives. Responsibilities also include ensuring model explainability, maintainability, and monitoring, contributing to architectural decisions for ML infrastructure, and participating in the engineering on-call rotation.

Skills

Machine Learning

Data Engineering

Snowflake

Kubernetes

Kafka

Python

Generative AI

Large Language Models (LLMs)

Model Explainability

Model Monitoring

System Design

Software Development

Chartbeat

Real-time analytics for digital publishers

About Chartbeat

Chartbeat provides real-time analytics specifically designed for digital publishers, including news organizations and magazines. Its platform allows clients to access data on how readers engage with their content, such as page views, scroll depth, and time spent on articles. This information helps publishers understand their audience better and make informed decisions to enhance reader engagement and loyalty. Unlike many competitors, Chartbeat focuses solely on the media and publishing sector, tailoring its services to meet the unique needs of content-driven websites. The company's goal is to empower publishers to optimize their content strategies and grow their audience through actionable insights.

New York City, New YorkHeadquarters

2009Year Founded

$38MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer SoftwareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Parental Leave

Phone/Internet Stipend

Wellness Program

Flexible Work Hours

Unlimited Paid Time Off

Paid Holidays

Risks

Emerging analytics platforms offer similar insights at lower costs, threatening market share.

Cuadrilla Capital acquisition may disrupt client relationships and strategic focus.

Evolving privacy regulations could limit data collection, impacting Chartbeat's services.

Differentiation

Chartbeat offers real-time analytics tailored for digital publishers' unique needs.

The platform provides minute-by-minute insights on visitor engagement and site performance.

Chartbeat's subscription model allows scalable access to premium analytics features.

Upsides

AI-driven content personalization trends enhance Chartbeat's tailored insights offerings.

5G expansion boosts mobile content consumption, increasing data for Chartbeat's analytics.

First-party data reliance due to privacy regulations benefits Chartbeat's audience insights.

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