Machine Learning Engineer at Dopple

New York, New York, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, SoftwareIndustries

Requirements

Candidates should have experience building and deploying ML systems in production environments and be comfortable working with large-scale datasets and distributed data processing frameworks. A strong understanding of the trade-offs between research-quality models and production-ready systems is expected, along with enthusiasm for solving real-world problems with evolving adversaries.

Responsibilities

The Machine Learning Engineer will design, train, and deploy models for batch and real-time inference to identify malicious content across diverse data sources. They will partner closely with Detection and Infrastructure teams to scale ML systems, work on NLP, embeddings, similarity search, classification, and anomaly detection problems, and collaborate with customers and stakeholders to translate threats into production ML systems.

Skills

Machine Learning

NLP

Embeddings

Similarity Search

Classification

Anomaly Detection

Model Deployment

Distributed Data Processing

Real-time Inference

Batch Inference

Dopple

Subscription service for custom children's clothing

About Dopple

Dopple is a subscription service that curates custom wardrobes for children, focusing on providing unique and stylish clothing options. The service operates by delivering regular shipments of clothing tailored to the individual tastes and needs of each child, based on information provided by parents and data collected from their interactions with the service. This personalized approach makes shopping exciting, as each delivery offers a surprise element. Dopple partners with a variety of brands, including both well-known names and emerging designers, to ensure a diverse selection of high-quality clothing. Unlike many competitors, Dopple emphasizes a community experience through their "dopplegang," fostering customer engagement and loyalty. The company's goal is to enhance the shopping experience for parents while providing children with fashionable clothing, with plans to expand internationally in the future.

Raleigh, North CarolinaHeadquarters

2018Year Founded

$9.5MTotal Funding

SEEDCompany Stage

Consumer GoodsIndustries

11-50Employees

Benefits

Competitive salary and equity grants

Medical, dental & vision insurance

Paid time off & work from home flexibility (during and after COVID-19)

Free Dopple subscription and significant employee discounts

Learning and development programs, including education reimbursement

Risks

Increased competition from new subscription services may dilute Dopple's customer base.

Rising costs of premium brands could lead to higher subscription fees.

International expansion may face regulatory challenges and increased operational costs.

Differentiation

Dopple offers personalized children's clothing through a unique subscription model.

The company partners with over 200 brands, including Stella McCartney Kids and Versace.

Dopple uses machine learning to tailor clothing selections to individual tastes.

Upsides

Growing demand for sustainable children's clothing boosts Dopple's market potential.

AI-driven personalization enhances customer experience and engagement for Dopple.

U.S. children's clothing market growth supports Dopple's expansion plans.

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