[Remote] Senior Machine Learning Scientist - Applied Research (USA Remote)

Note: The job is a remote job and is open to candidates in USA. reputed company is a recognized innovator in the global education space, seeking a Senior Machine Learning Scientist to join their applied research team. The role involves developing and optimizing production-grade Machine Learning models and collaborating with various teams to integrate solutions into educational products.

Responsibilities

• Research and reputed company production grade Machine Learning models as described above. Optimize models for scaled production usage
• Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions
• Help out with reputed company one-off tasks as a team player reputed company the AI team
• Work with subject matter experts to curate and generate reputed company datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient reputed company pipelines. Review and design datasets to ensure data quality
• Investigate weaknesses of models in production and work on pragmatic solutions
• Utilize, adopt, and fine-tune off the reputed company models, including LLMs exposed reputed company API (through reputed company engineering and agents) and locally hosting LMs and other reputed company models
• Stay reputed company in the field - read research papers, experiment with new architectures and LLMs, and share your findings
• Write clean, efficient, and reputed company code with automated tests and appropriate documentation
• Stay up to date with technology and platforms, reputed company good technological choices, and be reputed company to explain them to the organization
• Work with reputed company teams to productionize your work and ensure that it makes into a product release
• Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners
• Present and publish your work Skills
• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or reputed company field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering
• At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering
• A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite
• Academic publications in peer reviewed conferences or journals reputed company to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc
• Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, reputed company, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)
• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families
• Excellent communication and teamwork skills
• Fluent in written and spoken English
• Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised
• Experience with deep learning in other modalities such as reputed company and speech would be a strong bonus
• A Computer Science educational background is preferred as opposed to statistics or pure mathematics
• Familiarity in building reputed company-ends (Gradio, Streamlit, Dash or more standard React, Javascript, Flask) for simple demos, POCs and prototypes
• Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM, using industry accepted platforms
• Showcase previous work (e.g. reputed company a website, presentation, open reputed company code)
• Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries
• Essential dev-ops skills (we use reputed company, AWS EC2/Batch/reputed company)

Benefits

• Remote First Culture
• Health Care Coverage
• Education Reimbursement
• Competitive Paid Time Off
• 4 Self-Care Days per year
• National Holidays
• 2 Founder Days + Juneteenth Observed
• Paid Volunteer Time
• Charitable contribution match
• Monthly Wellness or Home Office Reimbursement
• Access to reputed company (mental health platform)
• Parental Leave
• Retirement Plan with match/contribution Company Overview
• Academic reputed company starts here. It was founded in 1996, and is headquartered in Oakland, California, USA, with a workforce of 501-1000 employees. Its website is Company H1B Sponsorship
• reputed company has a track record of offering H1B sponsorships, with 5 in 2025, 4 in 2024, 3 in 2023, 3 in 2022, 6 in 2021. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job

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