Senior Machine Learning Scientist - Applied Research (USA Remote)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Scientist - Applied Research (USA Remote) in the United States.

This role is ideal for an experienced machine learning scientist who thrives at the intersection of cutting-edge research and deployable AI solutions. You will lead the development of novel ML and deep learning models with real-world impact, supporting products that reach millions of users globally. The position combines scientific rigor with hands-on software engineering, requiring expertise in large-scale model training, dataset design, and production deployment. You will collaborate closely with cross-functional teams, explore innovative approaches, and ensure models are optimized for performance, accuracy, and efficiency. This is a highly autonomous role where research insights translate directly into scalable, product-ready solutions. You will also stay at the forefront of AI research, implementing state-of-the-art methodologies and publishing impactful work.

Accountabilities

·         Research, design, and develop production-grade machine learning and deep learning models, optimized for large-scale deployment.

·         Collaborate with engineering, product, and domain teams to identify ML-based solutions for complex challenges.

·         Curate, construct, and analyze large datasets, ensuring data quality, reproducibility, and scalability.

·         Implement efficient training pipelines for models spanning billions of parameters on multi-GPU and multi-node environments.

·         Productionize models and integrate them into applications while maintaining compute efficiency and reliability.

·         Conduct code and model maintenance, including hardening, testing, documentation, and demo preparation.

·         Stay current with AI and ML research, experiment with new architectures and methods, and communicate insights internally and via publications.

Requirements

·         Master’s degree or PhD in Computer Science, AI, Machine Learning, Electrical Engineering, Applied Mathematics, or a related field, or equivalent demonstrated experience.

·         Minimum 5 years of industry experience in machine/deep learning, AI, and software engineering.

·         Strong foundation in mathematics, machine learning theory, and deep neural networks, including model architectures, loss functions, and training loops.

·         Proficiency in Python-based ML frameworks (PyTorch, PyTorch Lightning, Hugging Face, Ray, scikit-learn, etc.) and experience with LLMs.

·         Experience in designing and managing large-scale datasets and building efficient parallel pipelines.

·         Familiarity with deployment, scaling, and optimization of models in production.

·         Excellent communication, teamwork, and cross-functional collaboration skills.

·         Familiarity with software development best practices, dev-ops (Docker, AWS EC2/Batch/Lambda), and building prototypes or demos is a plus.

Benefits

·         Remote-first work environment with flexibility and autonomy.

·         Competitive salary range: $111,000 – $185,000 per year, bonus-eligible.

·         Comprehensive health, dental, and vision insurance options.

·         Education reimbursement and professional development support.

·         Generous paid time off, including self-care days, national holidays, and volunteer time.

·         Parental leave and retirement plan with company match/contribution.

·         Monthly wellness or home office reimbursement and mental health support programs.

·         Global, inclusive culture with opportunities for publishing and professional growth.

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!

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