Tailored Management
Machine Learning Engineer (Remote - PST Hours)
Tailored Management, Menlo Park, California, United States, 94029
Role: Machine Learning Engineer (Remote - PST Hours)
Location:
100% Remote (Must work PST hours) Duration:
6+ Months Contract (Possible Extension) Pay Rate:
$85-$90/hr on W2 Start Date:
ASAP
Job Summary: We're looking for a highly skilled
Machine Learning Engineer
to join our client's AI/GenAI engineering team. You'll design and deploy scalable machine learning solutions using modern parallel environments, collaborate cross-functionally, and ensure code quality and model performance from inception to business impact.
Day-to-Day Responsibilities:
Design and adapt ML models leveraging distributed systems (GPU, multicore SMP, clusters) Build scalable classifiers using ML, regression models, and rule-based systems Work closely with cross-functional (XFN) teams to gather and synthesize requirements Write clean, scalable code alongside engineering teams
Must-Have Qualifications:
6+ years in software engineering (or 3+ years with PhD) 2+ years of experience in ML, AI, recommendation systems, data mining, etc. Strong experience with
Python
and one or more: JavaScript, Hack, PHP, Shell Proven success building and scaling ML models from design to deployment Cross-functional team collaboration experience Strong track record with code reviews, testing, monitoring, and rollout
Preferred Skills:
Master's or PhD in Computer Science or ML-related field Experience with
PyTorch ,
TensorFlow ,
C++ Familiarity with large-scale software architectures Former experience with
Meta
or other top-tier tech companies is a plus
Interview Process:
Round 1 - 45 mins:
2 Coding Questions (LeetCode-style: 1 easy + 1 medium)
Round 2 - 45 mins:
Machine Learning System Design
#TMN
100% Remote (Must work PST hours) Duration:
6+ Months Contract (Possible Extension) Pay Rate:
$85-$90/hr on W2 Start Date:
ASAP
Job Summary: We're looking for a highly skilled
Machine Learning Engineer
to join our client's AI/GenAI engineering team. You'll design and deploy scalable machine learning solutions using modern parallel environments, collaborate cross-functionally, and ensure code quality and model performance from inception to business impact.
Day-to-Day Responsibilities:
Design and adapt ML models leveraging distributed systems (GPU, multicore SMP, clusters) Build scalable classifiers using ML, regression models, and rule-based systems Work closely with cross-functional (XFN) teams to gather and synthesize requirements Write clean, scalable code alongside engineering teams
Must-Have Qualifications:
6+ years in software engineering (or 3+ years with PhD) 2+ years of experience in ML, AI, recommendation systems, data mining, etc. Strong experience with
Python
and one or more: JavaScript, Hack, PHP, Shell Proven success building and scaling ML models from design to deployment Cross-functional team collaboration experience Strong track record with code reviews, testing, monitoring, and rollout
Preferred Skills:
Master's or PhD in Computer Science or ML-related field Experience with
PyTorch ,
TensorFlow ,
C++ Familiarity with large-scale software architectures Former experience with
Meta
or other top-tier tech companies is a plus
Interview Process:
Round 1 - 45 mins:
2 Coding Questions (LeetCode-style: 1 easy + 1 medium)
Round 2 - 45 mins:
Machine Learning System Design
#TMN