Senior Machine Learning Engineer @ Jobgether
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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.