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Machine Learning Engineer Python Jobs in Oregon (NOW HIRING)

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas ...

Expertise in modern programming languages such as Python, Scala, Java, or similar, including ... Proven experience deploying machine learning models into production environments and ensuring their ...

OR · On-site

$466K - $750K/yr

We are looking for an experienced Machine Learning Engineer with deep expertise in training and inference efficiency for Large Language Models (LLMs), Multimodal LLMs, and other media ML models. In ...

OR · On-site

$91K - $124K/yr

Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will ... Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, JAX). Fluency in data ...

OR

$170K - $334K/yr

Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...

OR

$523K - $920K/yr

The Localization Data Science and Engineering team is at the forefront of removing language ... We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ...

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Hands-on expertise with PyTorch and strong production-level programming skills in Python

Machine Learning Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Machine Learning Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Overview LMI is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the ... Advanced proficiency with Python and Python-based web frameworks (e.g., Flask, Django, FastAPI, etc.

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... machine learning for Nike; analyze and profile data to uncover insights in support of scalable ... Python, SQL, C++) • LLM Models (Generative AI, RAG) • Data Governance Apply at www.Nike.com ...

Python Tutor

Eugene, OR · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

OR · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Portland, OR · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Managing MLE-heavy engineering and research efforts to optimize our core unsecured personal loan ... Experience * 6+ years of experience developing and deploying machine learning models in production ...

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Machine Learning Engineer Python information

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is the salary of machine learning engineer in Python?

The average salary for a machine learning engineer proficient in Python typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in deep learning or data engineering may offer higher compensation.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in Python, deep learning, and data modeling can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often involving advanced skills in Python, deep learning, and data science. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in competitive industries like tech or finance.

Is Python enough for ML engineers?

Python is a fundamental programming language for machine learning engineers due to its extensive libraries like TensorFlow, PyTorch, and scikit-learn. However, proficiency in data manipulation, algorithms, and understanding of machine learning concepts, along with knowledge of tools like SQL and cloud platforms, are also important for success in the role.
What are popular job titles related to Machine Learning Engineer Python jobs in Oregon? For Machine Learning Engineer Python jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Machine Learning Engineer Python jobs? Cities in Oregon with the most Machine Learning Engineer Python job openings:
Machine Learning (ML) Engineer

Machine Learning (ML) Engineer

Vectara

OR • On-site, Remote

Other

Medical, Dental, Vision, PTO

Posted 18 days ago


Job description

Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking, a optimized LLM trained for quality, and advanced Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready. These innovations have been cited in the New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US military organizations, Financial services, Healthcare, and Manufacturing.

Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more.

Job responsibilities 

  • Design, prototype, research and build AI systems for Vectara.
  • Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). 
  • Improve the quality of Vectara's AI Agents and RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction.
  • Publish technical blogs, papers, and patents. 

Requirements:

  • BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field. 
  • 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.
  • Strong domain knowledge in at least one of the following: RAG, LLM, information retrieval, Multimodal LLMs.
  • Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch.
  • Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE).
  • Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment.

Preferred requirements:

  • PhD in Computer Science/Engineering with 1+ years of industry experience. 
  • Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author. 
  • Experience as an ML engineer in an early-stage, high growth environment. 
  • Expertise in the following areas:
    • Embedding models, rerankers
    • Multimodal retrieval, question answering, and reasoning
    • Vector databases, BM25
    • Planning and reasoning in LLMs
    • Multilinguality in LLMs
    • NLG Evaluation such as hallucination detection

Location requirements:  We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. 

Equity and Salary Range: 

Salary is just one component of Vectara's employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn't highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.

Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives.  We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture-we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.  

Perks and Benefits:

100% paid Medical, Dental, Vision begins on your first day! Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time, holidays, and company rest days. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more.