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On Call Accelerate Learning Jobs (NOW HIRING)

Calendly

Senior Machine Learning Engineer

$125K - $165K/yr

Everything you'll work on here will accelerate your career to the next level. If you want to learn ... on-call rotation and incident response. * Serve as a subject matter expert for the features and ...

Acelero Learning

Food Service Worker

Racine, WI · On-site

$15.86/hr

Acelero, Inc. is looking for a (On Call) Part-Time Food Service Worker at Acelero Learning which ... With our partners, we accelerate child and family outcomes that honor all of the aspirations and ...

Acelero Learning

Food Service Worker

Racine, WI · On-site

$15.86/hr

Acelero, Inc. is looking for a (On Call) Part-Time Food Service Worker at Acelero Learning which ... With our partners, we accelerate child and family outcomes that honor all of the aspirations and ...

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

... accelerate ML experimentation and deployment at internet scale. You will partner closely with ML ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

... accelerate ML experimentation and deployment at internet scale. You will partner closely with ML ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

Ascend Learning

Senior Systems Engineer

Leawood, KS · On-site

$101K - $139K/yr

S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 ... Ability to work weekends/nights on occasion for maintenance and to participate in on-call support ...

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How much do on call accelerate learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for on call accelerate learning in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What is the difference between On Call Accelerate Learning vs On Call Tutor?

AspectOn Call Accelerate LearningOn Call Tutor
CredentialsTypically requires teaching certifications or relevant subject expertiseUsually requires tutoring certifications or subject knowledge
Work EnvironmentOnline or in-person tutoring sessions, flexible hoursOne-on-one or small group sessions, flexible scheduling
Industry UsageEducational services, tutoring platformsEducational services, private tutoring
Common Search IntentComparing tutoring roles, flexible teaching jobsFinding local or online tutoring opportunities

On Call Accelerate Learning and On Call Tutor both involve providing educational support, but Accelerate Learning often emphasizes structured programs and certifications, while Tutors focus on personalized, one-on-one instruction. Both roles are flexible and industry-related, catering to different student needs.

More about On Call Accelerate Learning jobs

What are the most commonly searched types of Accelerate Learning jobs?

The most popular types of Accelerate Learning jobs are:

What job categories do people searching On Call Accelerate Learning jobs look for?

The top searched job categories for On Call Accelerate Learning jobs are:

On Call Accelerate Learning jobs near you
Infographic showing various On Call Accelerate Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.

Staff/Senior Machine Learning Engineer, Clinical AI

Tempus

Seattle, WA • On-site, Remote

$170K - $230K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We're seeking a highly skilled and innovative Staff/Senior Machine Learning Engineer to join our Clinical AI Team. As a Staff/Senior Machine Learning Engineer, you'll play a crucial role in leveraging and deploying cutting-edge natural language processing models and LLMs specifically tailored for healthcare applications at scale. Your work will contribute to optimizing clinical workflows, improving clinical trial matching, and advancing medical research. This position offers an exciting opportunity to leverage the power of natural language processing and LLMs to revolutionize healthcare and make a significant impact on people's lives.

What You Will Do:

  • Build and operate production AI pipelines: LLM-powered extraction, batch orchestration, and inference, with a focus on reliability, cost, and latency

  • Design and maintain Airflow-based orchestration for batch clinical workflows

  • Build the observability (metrics, logging, alerting) that catches regressions before they reach downstream consumers

  • Build and maintain eval infrastructure that measures clinical model output quality continuously: regression detection, drift, gold-set management, dashboards

  • Ship platform tooling and SDKs that accelerate Machine Learning Scientists and downstream consumers

  • Partner with Machine Learning Scientists to debug bad model outputs to root cause (data, prompt, or pipeline)

  • Participate in the pod's on-call rotation

  • Collaborate with platform / infrastructure teams to leverage GCP services for performance, security, and cost-efficiency

  • Author and review design docs for cross-pod work

  • Raise the engineering bar through code review and design review

Required Qualifications:

  • Strong command of Python in production environments

  • Experience designing, building, and integrating with microservices in production

  • Deployed data orchestration workflows in production (Airflow or equivalent)

  • Worked on cloud-native services (GCP preferred but not required)

  • Built monitoring, observability, and alerting for production systems

  • Hands-on experience with at least one major ML framework - we primarily use LangGraph; PyTorch, spaCy, or equivalents are equally welcome

  • Strong written and verbal communication, including experience authoring and reviewing design docs (RFCs, PRDs, or equivalent); partners well with research scientists, PMs, and clinicians

Preferred Qualifications:

  • Operated production systems hands-on - on-call rotations, incident response, postmortems

  • Experience building eval / quality measurement systems for ML or LLM outputs

  • Hands-on production LLM application experience (prompts, agents, RAG, LLM evals, extraction pipelines)

  • Built internal platforms or SDKs that other engineers / scientists depended on

  • Experience working with clinical or biomedical data (EHR, genomics, pathology, clinical notes)

  • Contributions to relevant open-source projects

#LI-BL1

New York Pay Range - $170,000-$230,000USD

California Pay Range - $170,000-$230,000USD

Illinois Pay Range - $150,000-$210,000USD

Remote - USA Range - $150,000-$210,000USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally,for remote roles open to individuals in unincorporated Los Angeles - including remote roles-Tempus reasonably 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: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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