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Sr Ml Engineer Jobs (NOW HIRING)

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

$107K - $146K/yr

The Senior ML Engineer - Auto Tagger will be responsible for architecting data pipelines and developing algorithms to optimize the processing of vehicle data, ensuring data integrity and facilitating ...

Rebar

Senior ML Infrastructure Engineer

New York, NY · On-site

$118K - $161K/yr

Senior ML Infrastructure Engineer Background Rebar is building the next-generation operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Over the past year, our ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

Salesforce

Senior ML Engineer

Bellevue, WA · On-site

$178K - $246K/yr

This role is for a Senior Machine Learning Engineer within the Trust Intelligence Platform team who will architect data-driven strategies for threat detection across the security organization. The ...

Neurophos, Inc.

Senior ML Engineer, Optimization

Sunnyvale, TX · On-site

$95K - $131K/yr

... engineer to develop advanced post-training quantization methods for large language models (LLMs), diffusion models, and other ML applications for our revolutionary optical inference engines. This ...

Neurophos

Senior ML Engineer, Optimization

Austin, TX · On-site

$150 - $200/hr

... engineer to develop advanced post-training quantization methods for large language models (LLMs), diffusion models, and other ML applications for our revolutionary optical inference engines. This ...

Socket.dev

Senior ML Engineer, Optimization

Austin, TX · On-site

$103K - $142K/yr

... engineer to develop advanced post-training quantization methods for large language models (LLMs), diffusion models, and other ML applications for our revolutionary optical inference engines. This ...

Candid

$77K - $105K/yr

The Senior ML Engineer exists to take operational ownership of Candid's deployed ML and AI services to free up data science capacity. This is primarily an operational ownership role, with a secondary ...

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All JobsSr Ml Engineer Jobs

Sr Ml Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do sr ml engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for sr ml engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Sr Ml Engineer vs Data Scientist?

AspectSr Ml EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong statistical and analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in productionAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, e-commerce, finance, healthcareResearch institutions, tech firms, consulting, finance

While both roles involve machine learning, Sr ML Engineers focus on deploying and maintaining models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

Are Sr ML engineers still in demand?

Senior Machine Learning (ML) engineers are currently in high demand due to the growth of AI and data-driven applications. They are sought after for their expertise in developing models, deploying AI solutions, and working with tools like TensorFlow and PyTorch, often requiring advanced skills and relevant certifications. The demand is expected to remain strong as organizations continue to adopt AI technologies across industries.

How much do senior ML engineers make?

Senior machine learning engineers typically earn between $110,000 and $160,000 annually, depending on experience, location, and industry. Salaries can increase with expertise in tools like TensorFlow or PyTorch and advanced certifications.
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Sr Ml Engineer jobs near you
Infographic showing various Sr Ml Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior ML Engineer

Lehi, UT • On-site

Waystar
Software Development • 501 - 1,000 employees
Learn more about Waystarexternal

$98K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago

Job description

ABOUT THIS POSITION
Job Description Summary
We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and agentic architectures. As a core member of the team, you will be instrumental in developing the entire ML pipeline, from sophisticated data extraction techniques to fine-tuning specialized LMs and orchestrating their interactions within a multi-agent framework.
This is a unique opportunity to apply state-of-the-art Generative AI and NLP techniques to a real-world, high-impact problem, leveraging the latest research in agentic AI and LMs to deliver economical and powerful solutions.
WHAT YOU'LL DO
    • Data Pipeline & Knowledge Base Construction:

    • Design, implement, and optimize robust pipelines for ingesting, parsing, and extracting structured information from complex documents (leveraging OCR, document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE)).

    • Develop rich, nested JSON schemas for representing structured data and ensure scalable storage

    • Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database.

    • Language Model (LM) Development & Fine-tuning:

    • Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g., Phi-3, Mistral, Llama, Nemotron-H families) for specialized tasks.

    • Design and execute efficient fine-tuning strategies (e.g., LoRA, QLoRA, full fine-tuning) on curated, domain-specific datasets to achieve precise performance for tasks like coverage determination, code lookups, and policy rule application.

    • Explore and implement knowledge distillation techniques to transfer capabilities from larger models to smaller, more efficient LMs.

    • Agentic System Design & Implementation:

    • Build and maintain the core agentic framework, including the orchestrator that intelligently routes queries and coordinates interactions between various specialized LM tools.

    • Develop and integrate "tools" (specialized LMs and external APIs) that perform atomic medical necessity tasks, ensuring strict behavioral alignment and structured outputs.

    • MLOps & Deployment:

    • Deploy, manage, and monitor LMs and agentic components on Google Cloud Platform (GCP) using services like Vertex AI, GKE, Cloud Functions, and Cloud Run.

    • Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), model versioning, and performance monitoring (latency, throughput, accuracy).

    • Continuous Improvement & Research:

    • Establish effective feedback loops from end-user interactions and system logs to identify areas for model improvement.

    • Curate and expand training datasets, ensuring data privacy (PHI/PII masking) and legal compliance.

    • Stay abreast of the latest research in LMs, agentic AI, NLP, and document understanding, applying relevant advancements to our system.

    • Collaboration:

    • Work closely with subject matter experts, product managers, and other engineers to translate complex requirements into technical solutions and evaluate system performance.

    • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.

    • 3+ years of professional experience in Machine Learning Engineering, with a strong focus on NLP.

    • Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment.

    • Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).

    • Solid understanding and hands-on experience with core NLP techniques and architectures, especially Transformers.

    • Experience with cloud platforms, particularly Google Cloud Platform (GCP), including services like Vertex AI, Cloud Storage, and compute services.

    • Familiarity with MLOps principles and tools for model serving, monitoring, and pipeline automation.

    • Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively.

    • Active use of artificial intelligence (AI) tools and techniques to enhance performance, drive innovation, and improve decision-making across business functions.

    • Ability to leverage AI tools and platforms to streamline workflows, improve decision-making, and drive innovation.

    • Curiosity and adaptability in exploring emerging AI technologies, with a mindset for continuous learning and experimentation.

WHAT YOU'LL NEED
  • What Will Make You Stand Out (Preferred Qualifications):
    • Hands-on experience building or contributing to agentic AI systems or multi-agent frameworks.

    • Direct experience with document processing technologies such as OCR, layout parsing, Document AI, or custom information extraction from unstructured text.

    • Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures.

    • Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes, or regulatory documents.

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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