1

Meta Machine Learning Engineer Jobs (NOW HIRING)

... Engineer to design, build, and deploy machine learning systems for quantum processors. The role ... meta-learning- advantage Company : Quantum Machines is a leading provider of quantum control ...

... Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by ... About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team.

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Machine Learning Engineer -- Fresher We are hiring a Machine Learning Engineer to develop and deploy machine learning models for business applications. You will work with data scientists and software ...

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...

Machine Learning Engineer

Austin, TX ยท On-site

$140K - $180K/yr

๐Ÿš€ Machine Learning Engineer ๐Ÿ“ Austin, TX (Hybrid/Remote Considered) ๐Ÿ’ฐ $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning model development, data engineering, and modern cloud-based analytics platforms. This role will focus ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

next page

Showing results 1-20

Meta Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Jun 30, 2026, the average yearly pay for meta machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
Infographic showing various Meta Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 54% Full Time, 44% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Quantum Machines

Chicago, IL โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Summary:
Quantum Machines is a global leader in quantum computing control systems, and they are seeking a Machine Learning Engineer to design, build, and deploy machine learning systems for quantum processors. The role involves developing ML solutions that enhance the calibration, control, and operation of quantum technologies, working at the intersection of machine learning and quantum physics.
Responsibilities:
โ€ข Develop reinforcement learning, Bayesian inference, and probabilistic modelling approaches for parameter tuning, drift tracking, and adaptive measurement, to be deployed on real hardware.
โ€ข Develop real-time parameter steering for calibration during QEC and between circuits.
โ€ข Develop and maintain agentic frameworks for autonomous system control and calibration.
โ€ข Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum Machines control stack, including QUA, Qualibrate, and the OPX1000.
โ€ข Work directly with customers and partner labs to deploy, validate, and iterate on ML solutions in real experimental environments.
โ€ข Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials.
Qualifications:
Required:
โ€ข PhD/Master in Machine Learning, Physics, Applied Physics, Quantum Information Science, or a related field. 4+ years of relevant experience
โ€ข Strong background in Machine Learning and Deep Learning, with hands-on experience in at least one of: deep learning, reinforcement learning, agentic AI
โ€ข Strong Python proficiency, including scientific or systems-oriented codebases
โ€ข Solid software engineering fundamentals (architecture, Git workflows, testing, code review)
โ€ข Proven track record of taking ML from prototype to deployment under real-world constraints - non-stationary data, expensive evaluations, or safety-critical action spaces. Robotics, online control, autonomous vehicles, or hardware-in-the-loop ML all transfer well
โ€ข Strong problem-solving skills and customer-focused mindset; ability to work independently and in multidisciplinary teams
โ€ข Proven software development track record and excellent technical communication skills
Preferred:
โ€ข Familiarity with quantum computing concepts - qubit calibration, randomized benchmarking, QEC, optimal control- advantage
โ€ข Experience with sim-to-real, multi-objective RL, or meta-learning- advantage
Company:
Quantum Machines is a leading provider of quantum control solutions, powering quantum-classical integration at scale with Hybrid Control. Founded in 2018, the company is headquartered in Claymont, USA, with a team of 201-500 employees. The company is currently Growth Stage.