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Machine Learning Engineer Software Engineer Jobs in Syracuse, NY

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Software Engineer Sr

Liverpool, NY · On-site

$117K - $155K/yr

Join a global team of 35000 engineers, software developers, and cyber experts who turn complex challenges into reliable, next generation systems that keep warfighters ahead of emerging threats. Your ...

Software Engineer Sr

Liverpool, NY · On-site

$117K - $155K/yr

Join a global team of 35000 engineers, software developers, and cyber experts who turn complex challenges into reliable, next generation systems that keep warfighters ahead of emerging threats. Your ...

As a Software Engineer, you may... Help design and develop software components that advance our sensors' ability to: * Detect and track new types of targets * Process target data with high throughput ...

Senior Software Engineer

Syracuse, NY

$121K - $159K/yr

Senior Software Engineer Description Our client develops epigenetic biomarker technologies for ... learning new languages and frameworks â-- Excellent communicator â-- Preferred - Angular â ...

Software Engineer Sr

Liverpool, NY · On-site

$93.20 - $164.45/hr

Join a global team of 35 000 engineers, software developers, and cyber experts who turn complex challenges into reliable, next generation systems that keep warfighters ahead of emerging threats.

New

Software Engineer Syracuse, NY Applications will be accepted on an ongoing basis. ICR has ... Proficient with Virtual Machines using tools such as VMWare and VirtualBox * Exceptional analytical ...

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Showing results 1-20

Machine Learning Engineer Software Engineer information

See Syracuse, NY salary details

$62.7K

$145.8K

$203K

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

As of Aug 8, 2026, the average yearly pay for machine learning engineer software engineer in Syracuse, NY is $145,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $170,900.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer Software Engineer vs Data Scientist?

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

How do machine learning engineer software engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.
What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Syracuse, NY? For Machine Learning Engineer Software Engineer jobs in Syracuse, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Syracuse, NY look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Machine Learning Engineer Software Engineer jobs? Cities near Syracuse, NY with the most Machine Learning Engineer Software Engineer job openings:
Infographic showing various Machine Learning Engineer Software Engineer job openings in Syracuse, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $145,757 per year, or $70.1 per hour.

Machine Learning Engineer

Bespoke Labs

Syracuse, NY • On-site

Full-time

Re-posted 21 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination