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215 Machine Learning Engineer Jobs in Seattle, WA

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Meta Platforms, Inc. (f/k/a Facebook, Inc.)
Seattle, WA | Full Time
$120k-148k (estimate)
6 Days Ago
Supernormal
Seattle, WA | Full Time
$123k-148k (estimate)
5 Days Ago
Insight Global
Insight Global
Seattle, WA | Full Time
$127k-153k (estimate)
3 Days Ago
Uber
Seattle, WA | Full Time
$127k-156k (estimate)
7 Days Ago
ZOOM
Seattle, WA | Full Time
$127k-156k (estimate)
7 Days Ago
aKube Inc
Seattle, WA | Contractor
$120k-148k (estimate)
5 Months Ago
Adidev Technologies
Seattle, WA | Full Time
$120k-148k (estimate)
6 Months Ago
ADUS-Adobe Inc.
Seattle, WA | Full Time
$132k-158k (estimate)
10 Months Ago
Keystone
Seattle, WA | Full Time
$97k-117k (estimate)
1 Month Ago
Keystone
Seattle, WA | Full Time
$97k-117k (estimate)
1 Month Ago
Keystone
Seattle, WA | Full Time
$97k-117k (estimate)
1 Month Ago
Keystone
Seattle, WA | Full Time
$97k-117k (estimate)
1 Month Ago
Keystone
Seattle, WA | Full Time
$97k-117k (estimate)
1 Month Ago
Uber
Seattle, WA | Full Time
$126k-159k (estimate)
5 Days Ago
IT WRKX
Seattle, WA | Full Time
$125k-159k (estimate)
1 Month Ago
Axon
Seattle, WA | Full Time
$123k-158k (estimate)
7 Days Ago
FIS Global
Seattle, WA | Other | Full Time
$122k-155k (estimate)
3 Weeks Ago
Coupang Internal
Seattle, WA | Full Time
$118k-151k (estimate)
4 Months Ago
ClickJobs.io
Seattle, WA | Full Time
$125k-159k (estimate)
2 Weeks Ago
Axon
Seattle, WA | Full Time
$123k-158k (estimate)
2 Months Ago
Hive
Seattle, WA | Full Time
$166k-204k (estimate)
5 Months Ago
Expedia Group
Seattle, WA | Full Time
$118k-151k (estimate)
4 Months Ago
ByteDance
Seattle, WA | Full Time
$118k-146k (estimate)
3 Weeks Ago
Uber
Seattle, WA | Full Time
$127k-160k (estimate)
7 Days Ago
Meta
Seattle, WA | Full Time
$116k-142k (estimate)
1 Week Ago
Akraya Inc.
Seattle, WA | Full Time
$122k-149k (estimate)
2 Weeks Ago
TikTok
Seattle, WA | Full Time
$118k-146k (estimate)
2 Weeks Ago
Machine Learning Engineer
Uber Seattle, WA
$127k-156k (estimate)
Full Time | Retail 7 Days Ago
Save

Uber is Hiring a Machine Learning Engineer Near Seattle, WA

About The RoleThe Coordinated Structural Pricing and Simulator team is at the center of managing Uber's pricing and marketplace balance all over the world. Our team is responsible for controlling the balance of Mobility pricing in order to aggressively achieve growth, while maintaining a healthy marketplace. We achieve this goal by employing a variety of techniques, including machine learning, experimentation and causal-ML, economic modeling, and simulation and optimization. Our problem space sits at the intersection of machine learning and economics, and is a unique opportunity to leverage rich data to build high-quality simulations and do sophisticated policy optimizations. We are actively working on a new pricing and simulation tech focused on highly accurate forecasting and exploring many different avenues for simulation, both ML-driven and structural economics-driven. We are looking for candidates who are proficient in coding and building numerical models and simulation, as well as those who have prior experience in one or more of the areas: experimentation and causal ML, economic modeling, supervised machine learning, and reinforcement learning.
What The Candidate Will Do
  • Design and build Machine Learning models with optimization engines.
  • Productionize and deploy these models for real-world application.
  • Review code and designs of teammates, providing constructive feedback.
  • Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.
Basic Qualifications:
  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 2 years of full-time engineering experience or PhD new grad
  • Experience working with multiple multi-functional teams(product, science, product ops etc).
  • Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C ).
Preferred Qualifications:
  • 1 year of ML/economics experience and building ML/economic models
  • Experience with the design and architecture of ML systems and workflows.
  • Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
  • Experience with taking on vague business problems, translating them into ML Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
  • Experience with optimizing Spark queries for better CPU and memory efficiency.
  • Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, JAX, Ray, etc.
  • Experience owning and delivering a technically challenging, multi-quarter project end to end.
  • Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc.
For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Retail

SALARY

$127k-156k (estimate)

POST DATE

09/09/2024

EXPIRATION DATE

10/21/2024

HEADQUARTERS

BOZEMAN, MT

SIZE

>50,000

FOUNDED

2018

REVENUE

$50M - $200M

INDUSTRY

Retail

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The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.

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