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Staff Software Engineer Machine Learning Jobs in Mastic, NY

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$64.1K

$170.8K

$233.2K

How much do staff software engineer machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for staff software engineer machine learning in Mastic, NY is $170,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,600.00 and $201,900.00 per year, depending on experience, location, and employer.
What cities near Mastic, NY are hiring for Staff Software Engineer Machine Learning jobs? Cities near Mastic, NY with the most Staff Software Engineer Machine Learning job openings:
Staff Software Engineer Machine Learning jobs near you
Infographic showing various Staff Software Engineer Machine Learning job openings in Mastic, NY as of June 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $170,814 per year, or $82.1 per hour.
PostDoc - Machine Learning

PostDoc - Machine Learning

Brookhaven National Laboratory

Upton, NY • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
Brookhaven National Laboratory is a multidisciplinary laboratory delivering discovery science and transformative technology. They are seeking a post-doctoral research associate in machine learning to conduct research in ML, multimodal foundation models, continuous learning, and agentic AI systems for autonomous scientific discovery.
Responsibilities:
• Conduct research in ML, multimodal foundation models, continuous learning, and agentic AI systems for various problems relating to autonomous scientific discovery.
• Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation.
• Formulate high-quality research ideas and directions in collaboration with mentors in the department.
• Communicate research progress, challenges, and achievements, and engage within and beyond the department on new potential collaborations.
Qualifications:
Required:
• Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics)
• Strong theoretical understanding and practical experience in machine learning, multimodal foundation models, continuous learning, and agentic AI techniques
• Demonstrated publication record in machine learning field
• Excellent programming and computer science skills
Preferred:
• Practical experience developing novel ML, multimodal foundation models, continuous learning systems, or agentic AI models.
• Experience with state-of-the-art multimodal foundation models and agentic AI frameworks
• Experience in large-scale deep learning systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines.
• Experience in multi-modality data analysis (e.g., image, video, text).
• Experience working in multidisciplinary collaborations.
Company:
Brookhaven National Laboratory is a multi-purpose research institution focused on questions in basic and applied science. Founded in 1947, the company is headquartered in Upton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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