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Ml Inference Jobs in Wyoming (NOW HIRING)

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Preference and goal inference * Learning when intervention creates value versus friction Agentic ... Familiarity with large-scale training and production ML systems. * Interest in building AI systems ...

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Preference and goal inference * Learning when intervention creates value versus friction Agentic ... Familiarity with large-scale training and production ML systems. * Interest in building AI systems ...

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Preference and goal inference * Learning when intervention creates value versus friction Agentic ... Familiarity with large-scale training and production ML systems. * Interest in building AI systems ...

Block

Preference and goal inference * Learning when intervention creates value versus friction Agentic ... Familiarity with large-scale training and production ML systems. * Interest in building AI systems ...

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Ml Inference information

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 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.

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 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 popular job titles related to Ml Inference jobs in Wyoming?

For Ml Inference jobs in Wyoming, the most frequently searched job titles are:

What job categories do people searching Ml Inference jobs in Wyoming look for?

The top searched job categories for Ml Inference jobs in Wyoming are:

Ml Inference jobs near you

Staff ML Infra Engineer, Search & Discovery

Mountain View, WY • On-site

Coupang
See more jobs at Coupangexternal

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

As our Staff Software Engineer, ML infra Engineer for Search & Discovery organization, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online.

The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation.

This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you.

What You Will Do
  • Proactively drive the execution of end-to‑end data platform, data quality roadmap for Search & Discovery ML efforts
  • Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines
  • Develop and scale data infrastructure that powers batch and real‑time data processing, monitoring, and debugging for ML experiments
  • Drive design and implementation of scalable ML based ranking system and online ML inference services
  • Build strong cross‑functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs
  • Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies
Basic Qualifications
  • Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
  • 5 years of professional experience in applied machine learning
  • Experience in machine learning, deep learning, and statistical modeling
  • Proficiency in Python and/or Java, with experience in building production grade ML systems
Preferred Qualifications
  • Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
  • Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.)
  • Experience with ML frameworks such as Tensorflow and Pytorch
  • Experience with deploying highly robust and scalable data pipelines processing petabytes of data
  • Experience in managing mission critical services with high throughput and low latency
  • Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP)
  • Strong verbal and written communication skills
  • Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users
  • Experience with machine learning platform for search & discovery related rankings is a strong plus
Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits
  • Medical/Dental/Vision/Life, AD&D insurance
  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
  • Long-term/Short-term Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 18-21 days of the Paid Time Off (PTO) a year based on the tenure
  • 12 Public Holidays
  • Paid Parental leave
  • Pre-tax commuter benefits
  • MTV - [Free] Electric Car Charging Station
General Description of Other Compensation

"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Recruitment Process and OthersRecruitment Process
  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage
Details to Consider
  • This job posting may be closed prior to the stated end date for application if all openings are filled.
  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
  • Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
Privacy Notice
  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Job Requisition ID

R0075534

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