Senior Machine Learning Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

205000.0

Posted On

06 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Multi-Modality Models, TensorFlow, PyTorch, C++, Python, Data Processing Pipelines, Backend Systems, Autonomous Vehicles, Robotics, AI-Agent Capabilities, Technical Mentorship, Architectural Decisions, Performance Optimization, Scalable Architectures, Fault-Tolerant Systems

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 Engineer in the United States. This role offers a high-impact opportunity to work on cutting-edge machine learning solutions for large-scale data search and mining. You will contribute to the evaluation, fine-tuning, and deployment of state-of-the-art multi-modality models, supporting training and evaluation at scale. The position involves designing scalable, efficient, and fault-tolerant systems while collaborating across distributed backend infrastructure. You will help accelerate experiments, productionize innovative models, and provide cost-effective solutions for PB-level data. The environment is dynamic, research-driven, and encourages continuous experimentation with the latest AI developments. Your work will directly impact autonomous vehicle and robotics technologies, helping solve complex real-world challenges. Accountabilities Evaluate and apply state-of-the-art multi-modality machine learning models for search and mining needs. Perform fine-tuning, model evaluation, and bulk inference for large-scale ML systems. Integrate machine learning solutions with distributed data infrastructure, compute platforms, labeling systems, and simulation pipelines. Develop scalable and cost-efficient data processing pipelines and backend systems. Support autonomous vehicle (AV) and robotics projects by addressing data quality and performance challenges. Implement AI-agent capabilities and orchestrate data pipelines across distributed environments. Provide technical mentorship and contribute to architectural decisions to ensure extensibility and robustness. 4+ years of experience in robotics, latency-sensitive backend services, or large-scale ML systems. Strong experience in machine learning, classification, and multiple modality models. Proficient in ML frameworks such as TensorFlow or PyTorch. Expert programming skills in modern C++ or Python. Experience in profiling CPU/GPU software, process scheduling, and optimization. Ability to design scalable, fault-tolerant architectures across multiple systems. Excellent judgment in balancing coding, design, technical strategy, and mentorship. Passion for autonomous vehicle or robotics technology and continuous learning of emerging AI methods. Competitive salary range: $134,000 – $205,000, plus bonus potential based on performance. Flexible remote work, with optional hybrid presence in select US locations. Comprehensive health, dental, and vision benefits, including HSA/FSA options. Retirement savings plan and tuition assistance programs. Paid vacation, holidays, and sick leave. Employee assistance programs, life insurance, and wellness initiatives. Discounts on company products and services where applicable. 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 evaluating and applying state-of-the-art multi-modality machine learning models for large-scale data search and mining. You will also design scalable, efficient, and fault-tolerant systems while collaborating across distributed backend infrastructure.