Senior Machine Learning Engineer
@ Jobgether

Hybrid
$170,000
Hybrid
Full Time
Posted 1 day ago

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Job Details

Position Overview

The Senior Machine Learning Engineer role at Jobgether is a high-impact opportunity to work on cutting-edge machine learning solutions for large-scale data search and mining. You will evaluate, fine-tune, and deploy state-of-the-art multi-modality models at scale. This role supports training and evaluation of innovative implementations while designing scalable, efficient, and fault-tolerant systems in a dynamic, research-driven environment.

Your work will directly impact autonomous vehicle and robotics technologies by accelerating experiments, productionizing models, and providing cost-effective solutions for processing PB-level data.

Accountabilities

  • Evaluate and apply multi-modality models for search and mining.
  • Perform fine-tuning, model evaluation, and bulk inference for large-scale systems.
  • Integrate ML solutions with distributed data and simulation pipelines.
  • Develop scalable, cost-efficient data pipelines and backend systems.
  • Support AV and robotics projects addressing data quality challenges.
  • Implement AI-agent capabilities and orchestrate distributed data pipelines.
  • Provide technical mentorship and contribute to architectural decisions.

Requirements

Minimum of 4+ years in robotics, latency-sensitive backend services or large-scale ML systems. Proficiency with machine learning, classification, and multi-modality models is required, along with experience using frameworks like TensorFlow or PyTorch. Expert programming skills in modern C++ or Python are essential, as is experience in profiling CPU/GPU, process scheduling, and optimization. A strong background in designing scalable, fault-tolerant architectures and passion for autonomous vehicle or robotics technologies are critical.

Benefits & Compensation

  • Competitive salary, bonus potential, and comprehensive benefits.
  • Flexible remote work with optional hybrid presence in select US locations.
  • Health, dental, vision, retirement plan, tuition assistance and more.

Recruitment Process

Jobgether uses an AI-powered screening process that evaluates your CV and LinkedIn profile against core requirements for a high match score. The top three candidates are shortlisted by our AI and, when needed, further reviewed manually before being sent to the partner company's internal hiring team.

Key skills/competency

  • machine learning
  • multi-modality
  • TensorFlow
  • PyTorch
  • distributed systems
  • backend development
  • scalability
  • robotics
  • autonomous vehicles
  • cost-efficiency

How to Get Hired at Jobgether

🎯 Tips for Getting Hired

  • Customize your resume: Highlight multi-modality and backend project details.
  • Research Jobgether: Understand their AI-driven talent matching process.
  • Emphasize relevant experience: Focus on ML, robotics, and scalable system design.
  • Prepare technical stories: Showcase projects on TensorFlow or PyTorch implementations.
  • Practice interview insights: Be ready for system design and troubleshooting questions.

📝 Interview Preparation Advice

Technical Preparation

Review TensorFlow and PyTorch documentation.
Practice coding in C++ and Python.
Study scalable system design patterns.
Optimize data pipeline architecture scenarios.

Behavioral Questions

Describe past challenges in system design.
Explain leadership in mentoring technical teams.
Discuss conflict resolution in distributed projects.
Share examples of innovation under pressure.

Frequently Asked Questions