AI/ML Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Algorithms, Real-Time Systems, Model Training, Data Ingestion, Sensor Fusion, Decision-Making, MLOps Pipelines, Python, C++, PyTorch, Edge Devices, Sensor Physics, SIL Testing, HIL Testing, Large Datasets, AI Development Tools

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI/ML Engineer in the United States. In this role, you will design, implement, and deploy cutting-edge AI/ML solutions for real-world autonomous systems across land, air, sea, and space platforms. You will work with a team to develop scalable models, optimize inference on edge devices, and ensure robust integration with hardware and software systems. This position involves hands-on development, cross-functional collaboration, and direct interaction with end users to refine and demonstrate AI capabilities in operational environments. You will contribute across the full ML lifecycle, from data ingestion and labeling to model training, evaluation, and deployment. Ideal candidates thrive in fast-paced, technically challenging environments and are passionate about advancing AI technology in mission-critical applications. Accountabilities: Develop, integrate, and optimize AI/ML algorithms for real-time autonomous systems. Build and maintain models for perception, sensor fusion, and decision-making across multiple platforms. Collaborate with hardware, autonomy, sensor, and testing teams to ensure seamless deployment. Implement MLOps pipelines including data ingestion, labeling, training, evaluation, and deployment. Optimize inference software for low-latency, real-time performance on edge devices. Analyze system performance, identify bottlenecks, and improve algorithms and deployment processes. Support demonstrations and field testing, including interaction with end users to collect feedback and refine models. MS or PhD in Computer Engineering, Robotics, Computer Science, or equivalent, or 5+ years of relevant experience in simulation, machine learning, and ML infrastructure. Proficiency in PyTorch for training ML models on multi-machine, multi-GPU systems. Strong Python skills; proficiency in C++ is highly desirable. Experience deploying ML models to edge devices and optimizing inference. Solid understanding of sensor physics and sensor parameters across various platforms. Familiarity with modern AI development tools (e.g., GitHub Copilot, Cursor) to accelerate coding and testing. Experience with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing methodologies. Ability to handle large datasets, adapt quickly to new software and algorithms, and work independently. Willingness to travel periodically for hardware/software integration and demonstrations (10–20% travel). Must be a U.S. citizen and eligible for a U.S. Secret security clearance. Nice to have: PhD in Computer Vision or Machine Learning, experience with Transformers on edge devices, and simulation engines like Unreal Engine or NVIDIA Omniverse. Competitive base salary with equity and performance-based incentives. Comprehensive health, dental, and vision coverage. Retirement plan with employer matching (401k). Paid time off, holidays, and wellness stipends. Professional development and learning opportunities. Access to cutting-edge AI infrastructure and collaborative environment. Flexible work arrangements, with relocation assistance for eligible candidates. 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 three 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

Design, implement, and deploy AI/ML solutions for autonomous systems. Collaborate with cross-functional teams to optimize models and ensure robust integration with hardware and software.