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Temporary Machine Learning Ops Engineer Jobs (NOW HIRING)

ML Ops Engineer Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role ...

ML Ops Engineer Step into a fast-growing area of Cybersecurity at JPMorganChase, where you can help build and deploy machine learning solutions that directly support Cyber Operations. In this role ...

OR · On-site

$134K - $180K/yr

... Ops engineer, or related position). Education Requirements: Bachelor's Degree in Computer Science, Electrical Engineering, or related field required, Masters Degree preferred. Judgment/Reasoning ...

Principal Machine Learning Engineer

$138K - $185K/yr

... Ops engineer, or related position). Education Requirements: Bachelor's Degree in Computer Science, Electrical Engineering, or related field required, Masters Degree preferred. Judgment/Reasoning ...

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

MGMA is seeking a Machine Learning Engineer to enhance and expand its data ecosystem through ... Support ML Ops practices including model deployment, monitoring, and lifecycle management

Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

They are seeking an Infrastructure Engineer to automate and manage their infrastructure ... Machine Learning Ops/Infrastructure Company : Chalk is a data platform for AI inference that ...

Temporary Machine Operator

Tualatin, OR · On-site

$21.84 - $25.76/hr

... learning new skills. This is a full-time, 3-4 month temporary opportunity with a compressed ... Run automated machines that produce small, precision parts (either injection molded plastic ...

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Temporary Machine Learning Ops Engineer information

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$31.5K

$128.8K

$193.5K

How much do temporary machine learning ops engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for temporary machine learning ops 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.
What cities are hiring for Temporary Machine Learning Ops Engineer jobs? Cities with the most Temporary Machine Learning Ops Engineer job openings:
What are the most commonly searched types of Machine Learning Ops Engineer jobs? The most popular types of Machine Learning Ops Engineer jobs are:
What states have the most Temporary Machine Learning Ops Engineer jobs? States with the most job openings for Temporary Machine Learning Ops Engineer jobs include:
Machine Learning Ops Engineer, Global SRE

Machine Learning Ops Engineer, Global SRE

TikTok

San Jose, CA • On-site

$244K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

116th of 191 rated software companies


Job description

Responsibilities
MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on. Responsibilities 1) Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems. 2) Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks. 3) Responsible for rolling out GPU model training in Non-China regions. 4) Responsible for stability of AIGC related machine learning tasks. 5) Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc.
Qualifications
Minimum Qualifications 1) Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience. 2) Expertise in Linux operating systems, networking, storage. 3) Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java. 4) Experience in troubleshooting application issues, or production operations. 5) Effective communication skills and a sense of ownership and drive. Preferred qualifications: 1) Experience in SRE of machine learning systems. 2) Experience in SRE of ads/recommendation/search systems.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $244800 - $450000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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