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Senior Full Stack Machine Learning Engineer Jobs

Vocalytics AI

Sr. Full Stack Engineer

They are seeking a Sr. Full Stack Engineer to design and create core software for internal and ... applications, machine learning, or embedded systems. • Experience with wireless networking ...

OpenReq

Senior Full Stack Engineer

San Francisco, CA · On-site

Mach9 is at the forefront of leveraging advanced machine learning and computer vision techniques to ... They are seeking a Senior Full-Stack Engineer to develop their 3D annotation QA tool, ensuring ...

Zachary Piper Solutions

$125 - $150/hr

The Senior Full Stack Developer will work with an existing development team to help support delivery in features and competencies needed for MVP release. This is exciting opportunity for someone with ...

Mixpeek

Machine Learning Engineer

Washington, DC · On-site

The business has 10x'd in under two years and has built trust with the senior most leaders at the ... This role requires the ability to contribute to solutions across the full LLM stack, from the OS ...

Citian

Senior Full Stack Engineer

Washington, DC · On-site

... Machine Learning to build smarter, more advanced tools for our diverse client base. We work with ... As a Senior Full Stack Engineer at Citian, you'll be expanding current projects and innovating new ...

Cypress HCM

Senior Full Stack Engineer

San Jose, CA · Hybrid

$88/hr

Senior Full Stack Engineer Job Details * Senior Full Stack Engineer (Contract) * Location: San Jose CA 95110 (Hybrid) * Duration: 9/15/2025 to 3/13/2026 * Team: US Solutions Enablement Key ...

Citian

Senior Full Stack Engineer

Washington, DC · On-site

... Machine Learning to build smarter, more advanced tools for our diverse client base. We work with ... As a Senior Full Stack Engineer at Citian, you'll be expanding current projects and innovating new ...

Ersilia

Senior Full Stack Engineer

San Francisco, CA · On-site

$160K - $230K/yr

Senior Full Stack Engineer Salary: $160K - $230K Equity: 0.2-0.6% On-site work policy: 5 days in-office Visa Sponsorship Details: Open to visa transfers(e.g. OPT, H1B transfers) Hiring Count: Looking ...

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Senior Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

How much do senior full stack machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for senior full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

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Senior Full Stack Machine Learning Engineer jobs near you

Sr. Full Stack Engineer

Remote

Vocalytics AI
1 - 10 employees
Learn more about Vocalytics AIexternal

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Vocalytics AI is a startup focused on providing actionable acoustic intelligence for various sectors including healthcare and commercial real estate. They are seeking a Sr. Full Stack Engineer to design and create core software for internal and customer-facing services, while also taking on a leadership role within the engineering team.
Responsibilities:
• Design and create the core software for Vocalytics’ internal and customer-facing services. Write, review, and implement software architecture proposals in compliance with edge best practices.
• Be a foundational leader of our engineering team and work collaboratively with other developers on the team. Work collaboratively with DevOps, Product Design, Embedded Systems, AI/ML/Data Science, and other teams at Vocalytics.
• Test and document your work.
Qualifications:
Required:
• Bachelor’s degree and/or Master’s degree, preferably in Computer Science, or equivalent experience.
• Proficient in ReactJS, NodeJS, Google Vue, and programming with CS training. Familiarity with Typescript or npm is desirable.
• Proficient in back-end programming in Python, preferably with FastAPI, Alembic, PostgresSQL, Pytorch/Tensorflow, and audio processing experience.
• Experience with Docker/Kubernetes is desirable.
• Recent participation in software development and deployment on a Tier 1 cloud service provider, IoT applications, machine learning, or embedded systems.
• Experience with wireless networking protocols, systems, and optimizing signal strength/coverage via wifi, PoE, cellular, LoRa, etc.
• Excited about working in a fast-paced, dynamic startup environment.
Preferred:
• Natural Language Processing, Transformers, Deep Convolutional Neural Networks.
• Sound Source Localization, Beamforming, Scene Classification.
• Security, Encryption, and Anonymization Techniques.
• AWS EC2, S3, Sagemaker, Greengrass.
Company:
We turn voice & sound into value in harsh physical world environments. Founded in 2019, the company is headquartered in Costa Mesa, USA, with a team of 2-10 employees. The company is currently Early Stage.

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