Data Engineer

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, BiotechnologyIndustries

Requirements

The Data Engineer should possess 5+ years of experience as a strong software engineer, with a focus on working with large-scale data systems. They must be experienced in designing and maintaining data pipelines and infrastructure, particularly for analytics, experimentation, and machine learning, and be comfortable with tools such as Airflow, Spark, Ray, Flink, Amplitude, PostHog, S3, GCP, Snowflake, or Redshift. Additionally, experience with MLOps, model serving infrastructure, and ML workflows is required, along with a pragmatic and principled approach to optimization and shipping.

Responsibilities

This role involves building and owning the pipelines and data infrastructure that power product and research efforts, directly supporting model training, evaluation, product analytics, and safety systems. The Data Engineer will partner closely with team members building coding agents, combining synthetic data generation with human annotation platforms, designing resilient and scalable pipelines (ETL and ELT), developing infrastructure for self-serve analytics and dataset generation, making build vs buy decisions, defining and improving data modeling practices, building integrations with ML infrastructure, debugging pipeline failures, automating deployment processes, and improving data quality and reusability.

Skills

Data Engineering

ETL

ELT

Data Pipelines

Data Infrastructure

Analytics

Experimentation

Machine Learning (ML)

MLOps

Airflow

Prefect

Spark

Ray

Data Orchestration

Batch Processing

Streaming Processing

Data Modeling

Instrumentation

Dimensional Modeling

Feature Stores

Model Training

Model Evaluation

Product Analytics

Safety Systems

Software Engineering

Imbue

Digital fitness platform with influencer-led workouts

About Imbue

Imbue Fitness operates in the digital fitness market by connecting users with their favorite fitness influencers through a unique platform. Users can access exclusive workout classes anytime and anywhere, which allows for a personalized and engaging fitness experience. The platform primarily targets fitness enthusiasts who want a more intimate and interactive way to follow their workout routines. Imbue Fitness offers a flexible payment model, allowing users to choose between a pay-per-class system or a subscription for weekly classes. This approach generates revenue through class fees and subscriptions, benefiting both the company and the influencers. By utilizing the popularity and expertise of well-known fitness influencers, Imbue Fitness provides high-quality, influencer-led fitness content that stands out in the crowded digital fitness space.

Sunnyvale, CaliforniaHeadquarters

1989Year Founded

$237.1MTotal Funding

SERIES_BCompany Stage

Consumer Software, Healthcare, Consumer GoodsIndustries

1-10Employees

Benefits

Work directly on creating software with human-like intelligence

Very generous compensation

Flexible working hours

Work remotely

Time and budget for learning and self improvement

Risks

Increased competition from AI recruitment platforms threatens Sourceress's market share.

Free or lower-cost fitness platforms challenge Imbue Fitness's revenue model.

Fitness influencers launching own apps may reduce collaboration with Imbue Fitness.

Differentiation

Imbue Fitness connects users with favorite fitness influencers for personalized experiences.

Sourceress uses AI to create highly personalized candidate introductions for recruitment.

Imbue Fitness offers a pay-per-class or subscription model for flexible user payments.

Upsides

AI-driven personalized fitness recommendations are gaining traction, benefiting Imbue Fitness.

Collaborations with wearable tech companies enhance real-time tracking for Imbue Fitness users.

Rise of micro-influencers offers niche content opportunities for Imbue Fitness.

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