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Senior Machine Learning Scientist USA Remote

Jobgether

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$111k - $185k · Senior Full-time Posted 7 days ago 3 min read

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Scientist in United States. We are seeking a Senior Machine Learning Scientist to develop and deploy advanced ML and AI solutions at scale. In this role, you will work with vast, complex datasets to build, fine-tune, and optimize machine learning models, including large language models, for high-impact applications. You will collaborate closely with product owners, engineers, and subject matter experts to design datasets, train models, and integrate AI into real-world products. The position combines research, experimentation, and applied engineering, offering the chance to influence AI systems that reach millions globally. This is an opportunity to shape model architectures, improve production pipelines, and ensure the responsible, efficient use of AI technology in a remote-first, collaborative environment.

*Accountabilities:*

Design, train, and maintain machine learning and deep learning models for text, vision, speech, and multimodal applications
Curate, generate, and annotate datasets with subject matter experts to ensure high-quality, responsible data practices
Implement, fine-tune, and optimize large language models (LLMs), including third-party and locally hosted models
Collaborate with engineers, product owners, and stakeholders to integrate ML solutions into production systems
Conduct research to explore novel architectures, evaluate performance, and iterate on model improvements
Write clean, efficient, modular code with automated tests and maintain documentation for models and pipelines
Communicate model behavior, limitations, and insights effectively to both technical and non-technical audiences

Requirements

Master's degree or PhD in Computer Science, AI, Machine Learning, Electrical Engineering, Applied Math, or a related field
8+ years of experience in software engineering with strong proficiency in Python, SQL, and Unix-based systems
Proven experience building and deploying ML/DL models for text, and optionally vision or speech modalities
Deep understanding of machine learning and deep learning theory, model evaluation, and experiment tracking
Hands-on experience with frameworks and tools such as PyTorch, scikit-learn, Jupyter, Hugging Face, AWS SageMaker, or Weights & Biases
Familiarity with LLMs, including fine-tuning, prompt engineering, and orchestration
Strong communication and collaboration skills, fluent in English
Preferred: experience with production-scale deployment, Docker, AWS Lambda/EC2/Batch, and simple front-end demos (React, Flask, JavaScript)

Benefits

Competitive salary range: $111,000-$185,000/year with bonus eligibility
Remote-first culture with flexible work arrangements
Health care coverage and wellness programs, including mental health support
Paid time off, national holidays, and additional self-care days
Parental leave and paid volunteer time
Retirement plan with company match or contribution
Education reimbursement and home office stipends
Opportunities to work on globally impactful AI products in a collaborative, inclusive environment

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!

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

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