Senior Machine Learning Engineer (Remote - US) - job 1 of 4

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer in the United States.

This role offers the opportunity to lead the design, development, and deployment of state-of-the-art machine learning products within the real estate technology space. The Senior Machine Learning Engineer will work on complex, real-world modeling problems, developing scalable pipelines and production-ready ML systems. You will collaborate across data, engineering, and product teams to ensure seamless integration of models into production environments, delivering actionable insights and robust solutions. Ideal candidates are self-starters who thrive in fast-paced, dynamic settings and enjoy turning ambiguous challenges into practical, high-impact results. Your work will directly influence the efficiency, accuracy, and innovation of advanced ML products in a mission-driven environment.

Accountabilities

• Lead the development of machine learning models to solve complex, real-world problems.
• Design, build, and maintain data pipelines that support production systems and model deployment.
• Implement machine learning algorithms in production environments and monitor their performance.
• Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions.
• Ensure robust and scalable ML infrastructure, including distributed systems configuration and maintenance.
• Participate in ETL engineering processes and interface effectively with data teams.
• Document model architecture, processes, and deployment pipelines for knowledge sharing and reproducibility.

• Minimum of 5 years of experience in machine learning model development and production ML systems.
• Strong knowledge of machine learning frameworks and modeling techniques (Python, R, SQL).
• Experience designing ML pipelines, including data preprocessing, normalization, clustering, scoring, and validation.
• Solid understanding of relational databases, distributed systems, and production maintenance.
• Working knowledge of cloud platforms (AWS preferred) and ETL tools.
• Experience parsing and handling diverse datasets and data formats.
• Strong problem-solving skills, attention to detail, and ability to work independently.
• Excellent communication skills and ability to collaborate across engineering teams.
• Self-starter mindset with a continuous learning approach and comfort in a fast-paced environment.

• Competitive salary: $136,000 to $178,000 annually, depending on location, experience, and qualifications.
• Profit-sharing bonus program, communication stipends, and referral bonuses.
• Comprehensive medical, dental, and company-paid vision insurance.
• 401(k) retirement plan with employer match.
• Voluntary supplemental insurance for life, AD&D, accident, and critical illness.
• Paid time off (PTO) and paid holidays.
• Employee assistance and wellness programs.
• Virtual healthcare access for primary care and mental health resources.
• Career and professional development resources.
• Mission-driven environment where your work makes a measurable impact.
• Recognition programs celebrating milestones and long-term contributions.

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.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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