Senior Machine Learning Engineer (Remote - US)

Jobgether; United States; Remote; USD 173,000 - 230,000; Full time

Job summary

A leading company is seeking a Senior Machine Learning Engineer to lead the deployment of cutting-edge models in the United States. This role involves transforming ML prototypes into scalable solutions, optimizing performance, and ensuring reliability across complex systems. Ideal candidates will have extensive experience in ML engineering, strong programming skills, and a passion for cloud-native technologies. The position offers a competitive salary, fully remote work, and comprehensive benefits.

Benefits

Competitive base salary

Equity package

Fully remote work setup

Comprehensive medical, dental, and vision insurance

Health Savings Account (HSA)

Flexible Time Off

Quarterly Recharge & Reset long weekends

Employee Assistance Program (EAP)

Commuter benefits

Qualifications

• 5+ years in ML engineering or software engineering with production ML deployment experience.
• Strong programming skills in Python.
• Experience with MLOps tools and cloud platforms.

Responsibilities

• Transform ML prototypes into production-grade, scalable solutions.
• Build and manage CI/CD pipelines for seamless model integration.
• Monitor live models and trigger automated retraining.

Skills

Python

Machine Learning

Cloud Platforms

Problem-Solving

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

TensorFlow

PyTorch

Scikit-Learn

AWS

GCP

Docker

Kubernetes

MLflow

Airflow

Job description

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Machine Learning Engineer in the United States.

We’re seeking an experienced Senior Machine Learning Engineer to lead the deployment of cutting-edge models at scale. In this role, you’ll work closely with data scientists, MLOps engineers, and cross-functional teams to take ML models from concept to robust production environments. You'll focus on building scalable pipelines, optimizing performance, and ensuring reliability across complex systems. This position is ideal for someone who is passionate about engineering excellence, cloud-native technologies, and continuous innovation in ML infrastructure and operations.

Accountabilities:

• Transform ML prototypes into production-grade, scalable solutions
• Build and manage CI/CD pipelines for seamless model integration and deployment
• Optimize machine learning systems for latency, throughput, and availability
• Monitor live models, detect performance degradation, and trigger automated retraining
• Implement cloud-native and distributed computing solutions (AWS, GCP, Spark, Kubernetes)
• Evaluate and integrate new tools and frameworks to enhance deployment speed and stability
• Write clean, maintainable code and contribute to knowledge sharing across the ML engineering team

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years in ML engineering or software engineering with production ML deployment experience
• Strong programming skills in Python and experience with TensorFlow, PyTorch, or Scikit-Learn
• Experience with MLOps tools such as MLflow, Airflow, Docker, Kubernetes, and CI/CD practices
• Proficiency with cloud platforms (AWS or GCP), including managed ML services
• Familiarity with data pipelines and distributed systems like Spark or Dask
• Strong problem-solving skills and the ability to troubleshoot and optimize production ML systems
• Excellent communication skills and the ability to work effectively in cross-functional teams

• Competitive base salary ($173,000–$230,000 USD annually), plus performance-based bonuses
• Equity package aligning your contributions to company success
• Fully remote work setup with monthly internet reimbursement
• Comprehensive medical, dental, and vision insurance
• Health Savings Account (HSA) and Flexible Spending Account (FSA)
• Flexible Time Off and generous parental leave
• Quarterly Recharge & Reset long weekends and monthly social events
• Employee Assistance Program (EAP) and wellness support resources
• Commuter benefits and volunteer time off to support causes you care about

Jobgether Hiring Process Disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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