Machine Learning Engineer (Remote - US)

Jobgether; United States; Remote; USD 150,000 - 170,000; Full time

Job summary

Jobgether is seeking a highly skilled Machine Learning Engineer to design, build, and deploy production-grade ML systems. This staff-level role requires 8+ years of experience, with a focus on real-time solutions and cross-functional collaboration. If you thrive in a mission-driven culture and aim to make a measurable impact, this opportunity is tailored for you.

Benefits

Competitive base salary ($150,000–$170,000) plus a 20% annual bonus

401(k) plan with company matching

Comprehensive medical, dental, and vision insurance

Paid Time Off (PTO) and company holidays

Fully remote work environment

Opportunities for career growth and professional development

Collaborative and mission-driven culture

Qualifications

• 8+ years of machine learning experience, including 2+ years in a staff or senior role.
• Strong analytical skills with a background in large-scale data modeling.
• Excellent communication skills for translating complex concepts.

Responsibilities

• Lead machine learning initiatives from concept to deployment.
• Design scalable, real-time inference systems and data pipelines.
• Mentor engineering teams on ML best practices and standards.

Skills

Python

SQL

Spark

Databricks

AWS

TensorFlow

PyTorch

Scikit-learn

XGBoost

Statistics

Education

Master's degree in Computer Science

Master's degree in Mathematics

Tools

ML frameworks

MLOps tools

Job description

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 Machine Learning Engineer in the United States.

This role offers a unique opportunity to design, build, and deploy production-grade machine learning systems that directly drive business outcomes. As a Staff-level Machine Learning Engineer, you will work cross-functionally with engineering and data science teams to lead initiatives, scale infrastructure, and influence long-term ML strategy. The ideal candidate is highly skilled in model development, deployment, and performance optimization, with a hands-on approach to solving complex, data-driven problems in real-time environments. If you are excited by building solutions that serve millions and have a measurable business impact, this role is for you.

Accountabilities:

• Lead machine learning initiatives from concept to deployment with cross-functional stakeholders
• Design and implement scalable, real-time inference systems and streaming data pipelines
• Build, deploy, and continuously improve ML models that support product and business goals
• Establish robust monitoring and retraining processes to ensure ongoing model performance
• Mentor and provide technical guidance to engineering teams on ML best practices
• Define and document standards for model development, deployment, and optimization
• Collaborate with product, engineering, and data teams to ensure ML solutions align with business strategy

• 8+ years of experience in machine learning, including 2+ years in a staff or senior engineering role
• Expertise in Python, SQL, Spark, Databricks, and cloud platforms such as AWS
• Deep understanding of ML frameworks like TensorFlow, PyTorch, Scikit-learn, and XGBoost
• Proven experience building and deploying LLMs and scalable ML applications
• Familiarity with model serving, feature stores, streaming pipelines, and MLOps tools
• Strong analytical skills with a background in statistics and large-scale data modeling
• Excellent communication skills, capable of translating technical concepts for non-technical stakeholders
• Master's degree in Computer Science, Mathematics, or a related field (or equivalent experience)

• Competitive base salary ($150,000–$170,000) plus a 20% annual bonus
• 401(k) plan with company matching
• Comprehensive medical, dental, and vision insurance
• Paid Time Off (PTO) and company holidays
• Fully remote work environment
• Opportunities for career growth and professional development
• Collaborative and mission-driven culture focused on real-world impact

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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