Generative AI / Machine Learning Engineer - NYC at Modal

New York, New York, United States

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$350,000 – $450,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

GamingIndustries

Requirements

4+ years of video machine-learning experience, with a focus on image embedding and computer vision
Bonus: Experience in generative AI, familiarity with high throughput video inference/feature extraction
In-person in NYC, 3+ days in the office
Ownership and attention to detail: Ability to see things through and be responsible for end-to-end quality of complex features
Excellent understanding of code performance and performance implications in production
Result-driven: Driven by metrics and performance of features, ability to move fast and ship regularly
Comfort with A/B testing and measuring results with usage metrics
Passion for games and gaming communities, user of Discord and other gaming-adjacent products (experience in gaming-related projects is a plus)

Responsibilities

Embed Medal's database of billions of gaming clips to contextualize them more easily in the product
Augment embeddings via automated annotations and computer vision to create rich context around clips
Improve library and social search functionality
Inform the ML recommendation system in Medal's social feed
Improve the quality of the video editor via automation in the future

Skills

Key technologies and capabilities for this role

PyTorchOpenCVGCPBigQueryKubeflow PipelinesAirflowComputer VisionImage EmbeddingsVideo InferenceGenerative AI

Questions & Answers

Common questions about this position

What is the salary range for this Generative AI / Machine Learning Engineer position?

The salary range is $350K - $450K.

Is this role remote or onsite, and what's the location?

This is an onsite role in NYC, requiring in-person presence to contribute alongside the product team, with 3+ days in the office.

What skills and experience are required for this role?

Candidates need 4+ years of video machine-learning experience focused on image embedding and computer vision, plus excellent understanding of code performance, ownership, and comfort with A/B testing and metrics. Bonus for generative AI, high throughput video inference, and gaming-related projects.

What is the company culture like at Medal?

The culture emphasizes ownership, attention to detail, being result-driven with a focus on metrics and performance, moving fast, shipping regularly, and working in-person alongside the product team.

What should I include in my application for this role?

Include links to apps you’ve released/portfolio with a description of your contributions, your resume, LinkedIn (Twitter if relevant), and Github. Highlight gaming passion and relevant experience to stand out.

Modal

Employee training and skill development platform

About Modal

Modal Learning focuses on improving employee performance through skill development for businesses. Their main product, the Modal Mastery Platform, uses active learning techniques, including live cohort sessions, labs, and one-on-one coaching, to help employees engage with the material effectively. Unlike competitors, Modal Learning offers a subscription model that provides structured eight-week training programs, aligning skill development with organizational goals. The company's goal is to empower employees and help organizations retain talent by providing clear career development paths.

San Francisco, CaliforniaHeadquarters

2021Year Founded

$30.8MTotal Funding

EARLY_VCCompany Stage

Consulting, EducationIndustries

51-200Employees

Risks

Competition from established players and emerging startups could dilute Modal's market share.

Focus on data and AI may limit appeal to companies seeking broader skill development.

Economic downturns could reduce corporate spending on employee training, impacting revenue.

Differentiation

Modal offers personalized technical skills training with on-demand coaching.

The platform uses cohort-based learning to enhance engagement and retention.

Modal's strategic skills planning aligns training with business goals.

Upsides

Increased demand for personalized learning experiences boosts Modal's market potential.

Growing emphasis on data and AI skills aligns with Modal's course offerings.

Subscription model provides steady revenue and predictable growth for Modal.

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