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Machine Learning Engineer

SHAPE'D, LLC
New York, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$130,000.0 - $200,000.0
Working hours
Regular working hours
Job source
startup.jobs

Tech stack

Python (Programming Language) Machine Learning Standard Sql

Requirements

  • Bachelor’s in computer science, data science or mathematics related field. Master’s degree or PhD will be advantageous.
  • 6+ years of industry experience in a machine learning or data science role
  • Proficient with Python, SQL
  • Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for problem-solving
  • In-depth knowledge of mathematics, statistics and algorithms.
  • Operate well within fast paced, small teams
  • Excellent written and verbal communication skills

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Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:17 min

Fabricated software updates for Python alongside lunar quarantine proposals

Chris Heilmann +1 · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

1:56 min

Creating immutable blockchain tables using standard SQL syntax

Wei Hu Wei Hu · World Congress 2023

Videos

See all
Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Solving the puzzle: Leveraging machine learning for effective root cause analysis thumbnail
24:31
World Congress 2025 • about 1 year ago

Solving the puzzle: Leveraging machine learning for effective root cause analysis

Bernhard, Varsha Venugopal

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

CUDA in Python thumbnail
21:02
LIVE • over 1 year ago

CUDA in Python

Andy Terrel

How Machine Learning is turning the Automotive Industry upside down thumbnail
26:55
LIVE • almost 6 years ago

How Machine Learning is turning the Automotive Industry upside down

Jan Zawadzki

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
World Congress 2022 • about 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

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