This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Machine Learning Engineer, AI Research in United States.
This role offers the opportunity to work at the forefront of applied AI and machine learning, helping shape next-generation platforms that combine observability, security, and intelligent automation. You will collaborate closely with highly skilled engineers and researchers to design and deploy cutting-edge ML systems that directly impact enterprise-scale customers. The position emphasizes rapid experimentation, production-grade model development, and continuous innovation in a fast-moving AI environment. You will contribute to both research and applied engineering, bridging the gap between academic advancements and real-world product deployment. This is a highly collaborative, remote-first role where curiosity, technical depth, and creative problem-solving are essential. You will help build robust ML systems while influencing product direction and advancing AI capabilities across the organization.
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Accountabilities:
- Design, train, evaluate, and iterate on machine learning models across applied AI and research initiatives.
- Conduct rapid experimentation to validate hypotheses and improve model performance through data-driven insights.
- Build scalable ML pipelines covering data ingestion, feature engineering, training, evaluation, and deployment.
- Collaborate with engineers and researchers to translate cutting-edge AI research into production-ready systems.
- Optimize models using techniques such as hyperparameter tuning, fine-tuning, and architecture experimentation.
- Maintain rigorous experimentation practices, including documentation, result tracking, and knowledge sharing.
- Stay current with advancements in machine learning and identify opportunities to apply emerging techniques.
- Contribute to system reliability and availability, including on-call or production support during critical deployments.
Requirements:
- Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field; Master’s or PhD preferred.
- 4+ years of experience in machine learning engineering or applied AI research roles.
- Strong hands-on experience training and evaluating ML models, including large language models.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
- Experience with MLOps tools such as MLflow, Weights & Biases, Kubeflow, or similar platforms.
- Strong understanding of NLP, computer vision, and/or reinforcement learning techniques.
- Ability to balance rapid prototyping with production-grade engineering rigor.
- Excellent communication skills with the ability to present technical findings to diverse audiences.
- Strong problem-solving mindset and ability to thrive in fast-paced, experimental environments.
Benefits:
- Competitive base salary ranging from $185,000 to $215,000 USD.
- Eligibility for annual bonus program and/or equity-based compensation.
- Comprehensive health, dental, and vision insurance coverage.
- Paid time off, paid holidays, and flexible remote-first work environment.
- 401(k) retirement savings plan.
- Fertility treatment and family-building support benefits.
- Short-term disability and life insurance coverage.
- Inclusive and diverse work culture focused on innovation and collaboration.
- Opportunities to work on cutting-edge AI systems at scale.
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How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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