ZipRecruiter

Log In

1

Ml Inference Jobs in Remote, OR (NOW HIRING)

All JobsMl Inference JobsMl Inference Jobs in Remote, OR

Ml Inference information

See Remote, OR salary details

$37.5K

$122.6K

$196.3K

How much do ml inference jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ml inference in Remote, OR is $122,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,900.00 per year, depending on experience, location, and employer.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What are some common challenges faced by ML inference engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What are the key skills and qualifications needed to thrive in ML inference?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.

Is ML inference a high paying job?

ML inference roles are generally well-paying, especially for those with skills in machine learning frameworks, programming, and cloud platforms. Salaries vary based on experience, location, and industry, but they tend to be higher than average for tech-related positions.
What are popular job titles related to Ml Inference jobs in Remote, OR? For Ml Inference jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Ml Inference jobs in Remote, OR look for? The top searched job categories for Ml Inference jobs in Remote, OR are:
What cities near Remote, OR are hiring for Ml Inference jobs? Cities near Remote, OR with the most Ml Inference job openings:
Ml Inference jobs near you
Infographic showing various Ml Inference job openings in Remote, OR as of August 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $122,617 per year, or $59 per hour.

Manager Network Planning Access and Solutions

Lumen Technologies

OR • On-site

Full-time

Medical, Life

Posted 8 days ago

Lumen Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

8th of 98 rated telecommunications companies

Job description

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AIready connectivity, join us today.

The Role

The Manager of Strategic Network Access & Solutions leads the strategic vision of Lumen's network evolution to meet the growing demand for AI and datacenter capacity.  This function is responsible for linking network assets and capabilities into an operational plan, executing against monetization and growth objectives while steering the company towards its strategic priorities.  This leader will collaborate with business units across Lumen to create new, innovative ways to show up in the market.  The role is responsible for various demand ingestion points and modeling into a complete national network plan with operational recommendations including network investment strategies and customer targeting.  This leader is highly engaged in visualizing and simplifying the complex principles of the network into straightforward business recommendations for senior leaders.  This role will also be an internal influence of AI excellence across the business, leveraging analytics and insights to maximize value and efficiency cross-departmentally.  This includes the growth and advancement of geospatial analytics and visualizations.  

The Main Responsibilities
  • Publish and maintain multi-year network expansion and investment plan that aligns to strategic priorities. 
  • Facilitate joint-customer planning, linking customer requirements and long term capacity needs to Lumen's connectivity strategy.
  • Mastery of AI compute landscape and how workloads traverse the network transport layer to support Hyperscaler, Neo Cloud, Large Enterprise and Datacenter Operator customer segments.
  • Maintain Lumen's market leadership in network connectivity to datacenters and hyperscalers, maintaining direct connections the market as it exponentially expands.
  • Expand Lumen's market share in datacenter market via customer targeting, network architecture enhancement and product enablement.
  • Influence internal and external parties on optimal ways to organize, align, and show up in the market to monetize AI capabilities and solve customer needs and demand.
  • Identify strategic market areas for investment, aligned to customer acquisition and sales go-to-market strategies.
  • Guide data analytics teams to develop material business insights and conclusions using AI/LLM/ML modeling.
  • Lead AI innovation across the Network Planning department by collaborating with business leaders to identify opportunities to accelerate planning activities with data driven modeling and recommendations.  
  • Optimization of large customer deals by identifying investment synergies and cost reduction strategies to increase financial flexibility.
  • Partner with business units to prescribe network strategies to Sales, Product, and go-to-market commercial offerings.
  • Partner with peer planning departments to assist in simplifying the network story into easy to consume business milestones and decision points.
  • Build and mentor a high-performing team that will influence and drive the strategic direction Lumen using a network and asset lean.
  • Facilitate team growth and adoption of emerging technologies including new GIS & AI/ /ML techniques.
What We Look For in a Candidate
  • Master's degree in Engineering, Compute Science, Business, or related field or equivalent education and experience.
  • 8+ years of relevant experience in Network Planning.
  • 3+ years of leadership experience.
  • Ability to quickly establish credibility and rapport with a broad range of executives and constituencies.
  • Results oriented with a demonstrated track record of success in both tactical and strategic goals and priorities.
  • Exceptional interpretation of data and corresponding analysis with the ability to recommend enhancements that drive deeper business insights.

Must-Have Skills & Experience: 

  • Knowledge of AI compute architectures and the various fiber network mesh and transport capabilities needed to support both AI training, inference and extension to the edge.
  • Knowledge of AI/ML modeling techniques and mechanisms to drive business insights and outcomes.
  • Ability to quickly identify market opportunities based on changing customer demand, technology landscape, and competitor activity.
  • Strong background in translating data-oriented insights into operational action plans.
  • Ability to manage and execute changing strategic priorities.
  • Demonstrated leadership and organizational skills, with experience managing and mentoring cross-functional teams. 
  • Proven track record of partnering with Product, Sales, and Partner teams to develop and operationalize revenue-generating initiatives. 
  • Understanding of fiber network architectures, critical network infrastructure, and fiber construction.
Compensation
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$105,786 - $141,047 in these states: AL  AR  AZ  FL  GA  IA  ID  IN  KS  KY  LA  ME  MO  MS  MT  ND  NE  NM  OH  OK  PA  SC  SD  TN  UT  VT  WI  WV  WY 
$111,074 - $148,099 in these states: CO  HI  MI  MN  NC  NH  NV  OR  RI 
$116,364 - $155,152 in these states: AK  CA  CT  DC  DE  IL  MA  MD  NJ  NY  TX  VA  WA 
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen's:

  • Benefits
  • Bonus Structure

#LI-Remote

Requisition #: 342394

Life at Lumen

Life at Lumen is human and connected, even in a fast moving, AIfocused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. 

Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.  

To learn more about Life at Lumen and how we live the Lumen 8, please visit:  
https://jobs.lumen.com/global/en/life-at-lumen

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen's Global Employment Applicant and Talent Community Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

What Lumen Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Lumen Technologies logo

About Lumen Technologies

Sourced by ZipRecruiter

Lumen Technologies, headquartered in Monroe, LA, US, is a leader in the telecommunications industry. The company provides an array of solutions ranging from voice, broadband, and video services for consumers, businesses, and governmental agencies. Additionally, they offer data management, cloud, network, and IT services for enterprise customers. Lumen Technologies was founded in 1930, originally as the Louisiana Long Distance Independent Telephone Company. The company’s mission is to further human progress through technology, promoting a robust digital ecosystem, which is reflective of their core values of trust, respect, and innovative problem-solving that aims to have a significant impact on their clients' businesses.

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Monroe, LA, US

Year founded

1968

Social media

FacebookTwitter

View All Lumen Technologies Jobs

Apply