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Recommender Systems Developer Jobs

4 jobs found

11d ago

Machine Learning Engineer, Recommendation - E-Commerce

TikTok San Jose, CA

San Jose, CA

11d ago

$150k - $317k/yr Full time Analytics Big Data Data Analysis

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Job Description

TikTok is seeking a Machine Learning Engineer for E-Commerce recommendations to advance scalable optimization, modeling, and tooling for the TikTok Shop recommendation system. This onsite role is based in San Jose, California, with a salary range of USD 150,000 to 316,800 per year.

Compensation

Annual salary range: USD 150,000 to 316,800.

Responsibilities

Design and implement optimization strategies for a large-scale e-commerce recommendation pipeline that handles tens of millions of products or creators' content.
Develop long and short term user interest models by analyzing diverse data and creating algorithms to efficiently uncover latent interests.
Prototype, evaluate, and iterate predictive models for candidate generation and ranking, including real-time data pipelines, feature engineering, model optimization, and innovative approaches for CTR and CR prediction.
Create supporting and debugging tools as needed.

Requirements

Bachelor's degree in computer science or a related field.
At least 3 years of experience with a strong foundation in data structures and algorithm design, proficient in programming languages such as Python, Java, C++, or R.
Familiarity with common machine learning, deep learning, causal inference, and operational optimization algorithms, including classification, regression, clustering methods, as well as mathematical programming and heuristic methods.
Experience with at least one framework such as TensorFlow, PyTorch, or MXNet, including training and deployment details, as well as training acceleration methods like mixed precision and distributed training.
Exposure to big data frameworks; familiarity with MapReduce or Spark is preferred.

Technologies

Python, Java, C++, R
TensorFlow, PyTorch, MXNet
MapReduce, Spark

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated upon hire with tenure-based accruals

About the Teams

E-commerce - Recommendation and Marketing
E-commerce - Alliance
E-commerce - Search
E-commerce - Search Growth

Notice for Los Angeles County applicants

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Criminal history may negatively impact duties such as interacting with internal or external clients and colleagues, sometimes in unsupervised contexts.
Criminal history may affect the handling of confidential information and access to information technology systems.
The position involves exercising sound judgment in performing responsibilities.

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11d ago

Senior Machine Learning Engineer

TikTok San Jose, CA

San Jose, CA

11d ago

$156k - $388k/yr Full time Senior Deep Learning Engineering

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Job Description

Senior Machine Learning Engineer on TikTok's Recommendation team, building and deploying end-to-end ML systems to strengthen the US market.

Responsibilities

Design and refine recommendation models that enhance user experience and shape the platform’s content ecosystem.
Construct ML systems and data pipelines that address key product challenges at scale.
Own end-to-end ML stacks, guiding development, maintenance, and ongoing improvements.
Collaborate with cross functional teams to shape product strategy and deliver US market growth initiatives.

Requirements

Bachelor degree or higher in computer science or a related field with at least 4 years of relevant experience.
Strong proficiency in C/C++ and Python, with solid data structures and algorithms knowledge and hands-on experience building large-scale production systems.
Practical background developing ML systems using at least one major deep learning framework such as PyTorch or TensorFlow.
Experience in applied ML, ML infrastructure, large-scale recommendation systems, or market-facing ML products.
Effective written and verbal communication skills.

Technologies

C
C++
Python
PyTorch
TensorFlow

Compensation

Annual base salary: $156,000 – $387,600
Compensation may vary based on qualifications, skills, experience, and location. Total package may include discretionary bonuses/incentives and restricted stock units.

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
Paid holidays, sick days, and personal time

About the Team

The recommendation algorithm team drives critical product decisions and platform growth.
Researchers and engineers from diverse backgrounds collaborate to support production recommendation systems with real impact.
The team operates in a fast-paced, collaborative, and impact-driven environment.

General Hire

If applying under the General Hire track for the TikTok Recommendation Organization, you will undergo a unified interview process to assess fit across the broader organization, with placement determined by background, interests, and interview performance.

Location

Location: San Jose, CA onsite

Accommodations

TikTok provides reasonable accommodations in recruitment processes for candidates with disabilities or other protected needs. To request an accommodation, contact us at RA request.

About TikTok

TikTok is a leading destination for short-form mobile video with a mission to inspire creativity and bring joy.
Global headquarters are in Los Angeles and Singapore, with offices worldwide including New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Be part of a mission that centers on creativity, discovery, and connection through innovative products.
Work with curious, humble colleagues to drive meaningful impact in a fast-growing tech company.
Collaborate across teams to achieve breakthroughs while maintaining an Always Day 1 mindset.

Diversity & Inclusion

TikTok values diverse voices and perspectives, creating an inclusive space for all employees.
We aim to reflect the global communities we reach in our workforce and culture.

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27d ago

Senior Machine Learning Engineer, Sponsored Products and Brands Relevance

Amazon.com Services LLC Palo Alto, CA

Palo Alto, CA

27d ago

$193k - $262k/yr Full time Ai Ml Amazon Ads Artificial Intelligence

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Job Description

Amazon.com Services LLC is seeking a Senior Machine Learning Engineer to design and operate real-time ML serving systems for Sponsored Products and Brands Relevance. The role drives the technical direction, mentors engineers, and advances ad relevance through deep learning, NLP/LLMs, and distributed systems at Amazon scale. This on-site position in Palo Alto, CA offers a yearly salary range of USD 193,300 to 261,500.

Responsibilities

Drive the technical direction of ML solutions across deep learning, AWS infrastructure, Auto ML, and real-time serving systems
Design, develop, and own scalable offline ML pipelines and online serving components that handle billions of requests per day at millisecond latency
Partner closely with applied scientists to optimize model performance, improve ML productivity, and advance the technical foundation that powers science innovation
Troubleshoot and support high-volume, low-latency distributed systems — what you build is what you own
Mentor junior engineers and guide them to deliver high-impact products and services for Amazon customers and sellers
Make appropriate technology choices that balance innovation velocity with operational excellence and business needs

Requirements

8+ years of non-internship professional software development experience
10+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
5+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
Demonstrated ability to drive technical decisions across teams and deliver end-to-end from design through production deployment

Technologies

PyTorch, TensorFlow, SageMaker, Triton, vLLM, Spark, AutoML, AWS

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

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28d ago

Senior Machine Learning Engineer - Personalization

Disney Entertainment and ESPN Product & Technology New York, NY

New York, NY

28d ago

$149k - $199k/yr Full time Ai Ml Big Data Bigdata

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Job Description

Disney Entertainment and ESPN Product & Technology is seeking a Senior Machine Learning Engineer focused on personalization for Disney Streaming apps (Disney+ and Hulu). This individual contributor will lead the research, development, and productionization of recommendation algorithms, collaborating with Engineering, Product, and Data teams to enhance personalized experiences across Disney's streaming platforms.

Compensation

Salary: USD 148,700 - 199,400 per year

Role Location

New York, NY; on-site role requiring 4 days in-person at the designated office location.

Requirements

At least five years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
Five-plus years writing production-grade, scalable code in Python and SQL
Three or more years deploying algorithms to production systems
Solid grounding in modern machine learning methods, including deep learning, and the mathematics underpinning models
Experience building and maintaining pipelines and large-data solutions using Databricks, S3, and Spark
Ability to assess problem complexity and apply simple, effective approaches when appropriate
Excellent written and verbal communication skills
Master's or PhD in statistics, mathematics, computer science, or a related quantitative field
Proven production experience developing content recommendation algorithms at scale
Experience delivering end-to-end ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
Familiar with metadata management, data lineage, and data governance principles
Experience loading and querying cloud-hosted databases
Experience with AWS
Experience with Databricks
Bachelor’s Degree in Computer Science, Math, Statistics, or related quantitative field

Technologies

Python
SQL
Airflow
Jenkins
Databricks
S3
Spark
AWS

Benefits

Medical benefits
Financial benefits
Bonus and/or long-term incentive units

Why you might love working here

Building the future of Disney's media: Our technologists design and build the products and platforms that power our media, advertising, and distribution businesses for years to come
Reach, Scale & Impact: Disney's technology and products serve as a signature gateway for fans to connect with the brands and stories we carry across Disney+, Hulu, ESPN, ABC, and more
Innovation: We create and implement groundbreaking products and techniques that set industry norms and solve complex technical challenges

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