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Sr Technical Support Engineer
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- $90,000 to $95,000 USD / year
We are seeking a Senior Technical Support Engineer with a strong background in mobile and embedded SDK application development who thrives at the intersection of technical expertise and…
Added 1 min ago
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Midland, TX
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Senior Instrumentation & Controls Engineer 1 - Energy & Industrial
Sargent & Lundy
Midland, TX
This position is based on a hybrid work schedule and will require in-office work 3 days per week
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Mechanical Engineer Intern - Energy & Industrial
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Added 2 mins ago
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Safety Engineering Technical Leader (Hybrid)
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Logistics Process Engineer
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Senior Machine Learning Engineer (Applied Intelligence)
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Added 10 mins ago
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Senior Data Engineer
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- $91,700 to $163,700 USD / year
…outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented…
Added 11 mins ago
Elastic Observability Engineer
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Purpose Financial is looking for a talented, result-oriented, and innovative Elastic Observability Engineer to join the team!
Added 12 mins ago
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Principal Optomechanical Engineer - Simulations (Thermal/Structural)
Neurophos
Austin, TX · San Mateo, CA
- $245,000 to $280,000 USD / year
Neurophos is seeking a Principal Optomechanical Engineer to own thermal and structural simulation for our optical processing unit (OPU). Our free-space optical assemblies hold lenses,…
Added 12 mins ago
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Senior DevSecOps
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Remote, United States
- $170,000 to $200,000 USD / year
VIP is seeking a Senior DevSecOps Engineer to own the security of how we build and run software, secure our release pipeline, and strengthen our cloud environments.
Added 14 mins ago
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Performance Engineering Co-op
HP
Fort Collins, CO
- $29 to $35 USD / hour
Interest in computer hardware, embedded systems, performance analysis, data analysis, automation, or applied AI/ML
Added 15 mins ago
Staff Decision Scientist, Direct Revenue (AI Native)
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Remote, United States
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Added 18 mins ago
Full Stack Engineer, Business Systems
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San Mateo, CA
…come up with technical solutions. Our team is the custodian of data that is used by sales, order, finance, support teams. We emphasize automation over operation, metrics over anecdotes,…
Added 19 mins ago
Process Engineer (Monoshell)
Howmet Aerospace
Wichita Falls, TX
The Process Engineer position will be in our Wichita Falls, Texas facility and will support manufacturing through process control, improvement initiatives, and assume direct responsibility…
Added 21 mins ago
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SAP NS2 Senior DevOps Engineer
SAP IT Business Systeme
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- $131,000 to $271,600 USD / year
All internals must have manager’s approval to transfer
Added 21 mins ago
Assistant/Associate Professor of Chemical Engineering
Texas A&M University - Texarkana
Texarkana, TX
…materials, advanced manufacturing, process sustainability, automation, or data-informed process…

Machinify

Staff ML Engineer

Remote, United States

We are hiring for different levels and the base salary can range from $180k-$250k+ based on your assessed level.

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Job details

Pay: We are hiring for different levels and the base salary can range from $180k-$250k+ based on your assessed level.
Posting language: English
Posted: Feb 24, 2026

Original job description

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

What You’ll Do

As a Staff ML Engineer at Machinify, you will lead the design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions. You will:

• Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data.

• Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity.

• Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, optimal utilization of various flavors of multi-modal (text + vision) LLMs, context extraction, RAG, workflow orchestration frameworks, observability and logging, and explainability of LLM outputs.

• Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows.

• Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability.

• Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team.

What You’ll Bring

• deep software engineering experience, with meaningful experience building agentic systems or AI-driven workflows in an enterprise setting.

• Strong programming expertise in Java and Python, with additional experience in Scala a significant plus.

• Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records.

• Proven ability to productionize AI/ML techniques (e.g., LLM prompt engineering, RAG, workflow automation, and agents) with a focus on reliability, observability, and explainability.

• Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics.

• Strong CS fundamentals, including data structures, asynchronous programming, and system design.

• Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains.

• Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems.

• A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale.

Technical Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience).

• Track record of building and shipping enterprise-grade AI/ML systems in production.

• Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems.

Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus.

What We Offer

Work from anywhere in the US! Machinify is digital-first.
Top Medical/Dental/Vision offerings
FSA/HSA
Tuition reimbursement
Competitive salary, 401(k) with company match
Unlimited PTO
Additional health and wellness benefits and perks
Flexible and trusting environment where you’ll feel empowered to do your best work

The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $180k-$250k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more. Equal Employment Opportunity at Machinify

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

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Jobs in the United States