Senior Machine Learning Platform Engineer: EVENT (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

218900.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Software Engineering, Distributed Systems, Feature Engineering, Low-Latency Systems, Mentorship, Problem-Solving, Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, DynamoDB

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Platform Engineer: EVENT in United States. This role offers the opportunity to build and maintain foundational machine learning infrastructure that powers high-impact applications at scale. You will work on designing and optimizing feature engineering pipelines, distributed training workflows, and low-latency ML inference systems. The position requires strong software engineering expertise, a deep understanding of distributed systems, and the ability to mentor junior engineers while raising engineering standards across the team. You will collaborate with cross-functional teams to improve model performance, data quality, and overall platform reliability. The role provides a chance to make tangible contributions to a cutting-edge ML platform in a mission-driven, high-performance environment. Accountabilities: · Understand the needs of machine learning engineers and identify gaps in the platform’s capabilities. · Design, implement, and optimize high-performance, low-latency ML inference infrastructure and streaming pipelines. · Mentor junior engineers, fostering a culture of high-quality software development and technical growth. · Evangelize best practices in distributed training, feature engineering, and model deployment. · Build tooling to monitor data quality and detect performance degradation impacting models. · Collaborate with cross-functional teams to improve platform reliability, scalability, and operational efficiency. · 5+ years of experience as a software engineer, with proven expertise in distributed systems. · Strong coding skills and high standards for software quality. · Experience in designing and implementing low-latency, high-availability systems. · Excellent communication skills and ability to articulate complex technical requirements clearly. · Mentorship experience and ability to guide engineers to higher levels of technical proficiency. · Strong problem-solving skills and ability to adapt across varied technologies. · Nice to have: experience with ML models and systems, platform engineering, or developer tooling. · Familiarity with Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, or DynamoDB is a plus. · Competitive salary range: $186,065—$218,900 USD, plus bonus and equity eligibility. · Comprehensive health, dental, and vision coverage. · Remote-first environment with flexible work arrangements, plus in-person offsites for collaboration. · Opportunities to work with cutting-edge machine learning technologies at scale. · Professional development, mentoring, and growth opportunities. · Inclusive workplace culture focused on collaboration, high performance, and innovation. 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! #LI-CL1

Responsibilities

The role involves building and maintaining foundational machine learning infrastructure and optimizing feature engineering pipelines and distributed training workflows. You will also mentor junior engineers and collaborate with cross-functional teams to enhance model performance and platform reliability.