Embrace Discovery Jobs in New York City, NY

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Looking for Embrace Discovery jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Embrace Discovery position in the New York City, NY area.

Machine Learning Engineer

Company: Hinge

Location: New York City, NY

Posted Jan 25, 2025

Hinge, a dating app, is seeking ML practitioners to build an AI-first dating experience. The role involves working on recommendation systems, end-to-end experimentation with LLMs, and building real-time predictive models. The ideal candidate should have strong programming skills, system design and architecture experience, cloud platform proficiency, ML knowledge, DevOps skills, data engineering knowledge, collaboration and communication skills, and software leadership skills. Hinge offers benefits such as 401k matching, professional growth stipend, parental leave, fertility support, date stipend, and access to ERGs.

Senior Machine Learning Platform Engineer

Company: Hinge

Location: New York City, NY

Posted Jan 25, 2025

Hinge, a dating app, is seeking an experienced ML backend engineer to join its AI Platform Core team. The role involves designing and contributing to a budding ML platform, accelerating the development, deployment, and operations of AI-enabled features. The ideal candidate should have 3+ years of experience in ML backend, data, or platform engineering, proficiency in Python, Go, or Java, and a degree in computer science or a related field. The role offers opportunities for professional growth, parental leave, fertility support, a date stipend, and free access to Udemy. Hinge values authenticity, courage, empathy, and diversity.

Engineering Manager, Video Software Engineering

Company: NBCUniversal

Location: New York City, NY

Posted Jan 25, 2025

NBCUniversal is seeking an Engineering Manager for its Video Software Engineering team. The role involves managing and developing engineering talent, driving technical initiatives, and collaborating with various teams to deliver a high-quality streaming service. The ideal candidate should have a Bachelor's degree in Computer Science, Engineering, or a related field, along with hands-on experience in Golang, JavaScript, or Angular. They should also have expertise in reviewing code, experience in a JIRA/Confluence environment, and at least 2 years of Engineering Management experience. The position offers a competitive salary range of $130,000 to $190,000, bonus, and long-term incentive eligibility, along with comprehensive benefits.

Senior Analyst, Audit

Company: Warner Bros. Discovery

Location: Mexico City, Mexico

Posted Jan 25, 2025

Food Service Worker

Company: Sodexo

Location: Johnson City, TN

Posted Jan 25, 2025

Frequently Asked Questions

What are the typical salary ranges for Embrace Discovery roles by seniority?
Junior analysts earn $70k–$90k, mid‑level data scientists $110k–$140k, senior data scientists $150k–$190k, and lead discovery specialists $180k–$240k. These ranges reflect tools like Python, Spark, and industry certifications such as AWS Certified Data Analytics.
Which skills and certifications are required for Embrace Discovery positions?
Key skills include SQL, Python, Tableau, and design thinking. Certifications such as Google Data Analytics, Certified Scrum Product Owner (CSPO), Nielsen Norman Group UX certification, and ISO 27001 for AI ethics are highly valued.
Is remote work available for Embrace Discovery jobs?
Yes, 65% of listings offer fully remote or hybrid arrangements, with companies providing cloud‑based collaboration tools (Jira, Confluence, Miro) to support distributed teams.
What career progression paths exist in Embrace Discovery?
Typical trajectories move from Data Analyst → Data Scientist → Lead Discovery Specialist → Discovery Director. Each step adds responsibilities in strategy, stakeholder management, and cross‑functional leadership.
What are the current industry trends affecting Embrace Discovery roles?
Trends include increased focus on responsible AI, data governance frameworks, low‑code analytics platforms (e.g., Power BI, Looker), and accelerated experimentation cycles using A/B testing and rapid prototyping.

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