Machine Learning Engineer

PeakFleet; Washington; On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Visa sponsorship

Opportunity to work with cutting-edge technology

Job summary

PeakFleet is hiring a Machine Learning Engineer to join our growing team in Washington. You will develop and implement machine learning models and algorithms to solve complex problems and enhance our products.

The ideal candidate should have a strong background in computer science, mathematics, and statistics along with proficiency in Python or Java. Visa sponsorship is available for qualified candidates, providing an opportunity to work with cutting-edge technology in a dynamic environment.

Qualifications

• Strong background in computer science, mathematics, and statistics.
• Proficiency in coding and programming languages such as Python or Java.
• Experience with big data technologies such as Hadoop or Spark.

Responsibilities

• Develop and implement machine learning algorithms and models to solve complex problems.
• Design, build, and deploy scalable machine learning solutions.
• Collaborate closely with data scientists and software engineers.

Skills

Computer science background

Mathematics knowledge

Statistics knowledge

Python proficiency

Java proficiency

Big data technologies (Hadoop/Spark)

Job description

Job Overview

We are hiring a Machine Learning Engineer to join our growing team in Washington.

Responsibilities

• Develop and implement machine learning algorithms and models to solve complex problems and improve our products.
• Design, build, and deploy scalable machine learning solutions.
• Collaborate closely with data scientists and software engineers.

Qualifications

• Strong background in computer science, mathematics, and statistics.
• Proficiency in coding and programming languages such as Python or Java.
• Experience with big data technologies such as Hadoop or Spark.

Compensation & Benefits

• Competitive salary of $1600.
• Visa sponsorship for qualified candidates.
• Opportunity to work with cutting‑edge technology in a dynamic and collaborative environment.

EEO Statement

Applicants from all backgrounds are welcome to apply, including those without prior experience in machine learning.