Top 113 Complexity algorithms Jobs in New York, Ny

Senior Machine Learning Engineer - Disney Streaming
Disney Entertainment and ESPN Product & Technology —New York, NY
- $148,700 - $199,400 a year
- Computer Science
- Writing skills
- Office
9h
Research Scientist, Conversational AI
ASAPP —New York, NY
- $190,000 - $230,000 a year
- Full-time
- Hybrid work
- Computer Science
- Doctor of Philosophy
- Senior level
Machine Learning Compiler Engineer
Qualcomm —New York, NY
- $200,800 - $301,200 a year
- Computer science
- Computer Science
- Research
Research Engineer, Machine Learning
Basis Research Institute —New York, NY
- $120,000 - $180,000 a year
- Full-time
- Math
- Doctor of Philosophy
- APIs
Sr Product Manager, Tech
Uber —New York, NY
- $190,000 - $211,000 a year
- Full-time
- 7 years
- SQL
- Product management
Research Engineer
Forus —New York, NY
- $170,000 - $300,000 a year
- Full-time
- Computer science
- Office
- Computer skills
- Commuter assistance
- Health insurance
Staff Site Reliability Engineer
Google —New York, NY
- $207,000 - $301,000 a year
- Full-time
- Computer science
- Management
- Computer Science
1h
Customer Success Engineer
Oden Technologies —New York, NY
- $95,000 - $160,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- SQL
Senior Software Engineer, Backend Full Stack - IT Product
Rippling —New York, NY
- $159,000 - $278,250 a year
- Full-time
- Hybrid work
- 5 years
- Office
- In-person
IT Project Manager
Contact Government Services, LLC —New York, NY
- $100,000 - $205,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- System design
- Health insurance
- Dental insurance
Quick Apply
Founding Technical Staff, Product Engineer
AIC —New York, NY
- $180,000 - $250,000 a year
- Full-time
- Mid-level
- Office
- 1 year
Quick Apply
Founding Technical Staff, Machine Learning Engineer
AIC —New York, NY
- $180,000 - $250,000 a year
- Full-time
- Mid-level
- Office
- 1 year
Quick Apply
C++ Algorithmic Developer
Ingenuity Trading —Jersey City, NJ
- $150,000 - $330,000 a year
- Full-time
- Computer Science
- Data analysis skills
- Mid-level
- AD&D insurance
- Paid holidays
Quick Apply
Solutions Engineer
Oden Technologies —New York, NY
- $95,000 - $160,000 a year
- Full-time
- Hybrid work
- Windows
- SQL
- Analysis skills
Senior Software Engineer (Backend)
Pangram Labs —New York, NY
- $190,000 - $220,000 a year
- Full-time
- 5 years
- System design
- Senior level
Quick Apply
Postdoctoral Fellow, Open Call
Basis Research Institute —New York, NY
- $100,000 a year
- Urgently hiring
- Computer Science
- Doctor of Philosophy
- Mentoring
Research Scientist, Reinforcement Learning
Basis Research Institute —New York, NY
- $120,000 - $180,000 a year
- Urgently hiring
- Hybrid work
- Computer Science
- Office
- Math
C++ Developer
J.K. Barnes —New York, NY
- $250,000 - $600,000 a year
- Computer Science
- Research
- Office
Machine Learning Data Engineer
Oden Technologies —New York, NY
- $120,000 - $190,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- 3 years
Software Engineer II
S&P Global —New York, NY
- $130,000 - $175,000 a year
- Email
- Mid-level
- Office
- APIs
- Paid parental leave
- Health insurance

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Senior Machine Learning Engineer - Disney Streaming

Disney Entertainment and ESPN Product & Technology
New York, NY

Apply Now

Job Details

$148,700 - $199,400 a year
9 hours ago

Qualifications

AI models
Data Integration (Data management)
Writing skills
Scalable systems
SQL
Production systems
ETL process automation
Machine intelligence
Bachelor's degree
Model deployment
Developing large-scale AI models
Scalability
Machine learning (ML) fundamentals
Python
Stakeholder management
Database software proficiency

Full Job Description

Role Location:

This is an on-site role requiring 4 days in-person at designated office location.

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.

Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

Job Summary:

Our team designs and builds models that directly shape the user experience – powering personalization and engagement across our Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. With a strong product mindset and a focus on usability, we ensure every ML-driven product enhances how users discover, interact, and enjoy our experiences.

As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.

This is an Individual Contributor role. You will be expected to lead recommendation and personalization algorithm research, development, and productionization for product areas, and to coordinate requirements and manage stakeholder expectations with Product, Engineering, and Editorial teams. As an IC, you will also be responsible for helping to set the roadmap for algorithmic work — not only for how to approach product requests for new recommendation features, but for helping to drive larger company objectives in the areas of personalization and recommendations.

Responsibilities and Duties of the Role:

Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards
Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis

Required Education, Experience/Skills/Training:

Basic Qualifications

5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
5+ years writing production-level, scalable code (Python, SQL)
3+ years of experience developing algorithms for deployment to production systems
In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
Strong written and verbal communication skills

Preferred Qualifications

MS or PhD in statistics, math, computer science, or related quantitative field
Production experience with developing content recommendation algorithms at scale
Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases

Experience with:

AWS, Databricks

Required Education

Bachelor’s Degree in Computer Science, Math, Statistics, or related quantitative field

#disneytech

The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Santa Monica, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Apply Now

Refine Your Search

complexity algorithms jobs in new york, ny

Senior Machine Learning Engineer - Disney Streaming

Research Scientist, Conversational AI

Machine Learning Compiler Engineer

Research Engineer, Machine Learning

Sr Product Manager, Tech

Research Engineer

Staff Site Reliability Engineer

Customer Success Engineer

Senior Software Engineer, Backend Full Stack - IT Product

IT Project Manager

Founding Technical Staff, Product Engineer

Founding Technical Staff, Machine Learning Engineer

C++ Algorithmic Developer

Solutions Engineer

Senior Software Engineer (Backend)

Postdoctoral Fellow, Open Call

Research Scientist, Reinforcement Learning

C++ Developer

Machine Learning Data Engineer

Software Engineer II

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