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Contractual Computer Vision Deep Learning Engineer Jobs in Oregon

Upstart

OR · On-site

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... Success in this role requires deep knowledge of ML throughout the entire modeling lifecycle - from ...

Instacart

OR · On-site

$104K - $143K/yr

In this role, you will define the technical vision for how machine learning powers the Instacart ... Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field ...

Intel Corporation

AI Developer Evangelist

Hillsboro, OR · On-site

Practical experience in Machine Learning and Deep Learning, including: o ML/DL frameworks: PyTorch ... Experience with AI systems that interact with the physical world (robotics, computer vision, edge ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

Requirements: * BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics ... Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval ...

Intel

AI Developer Evangelist

Hillsboro, OR

Practical experience in Machine Learning and Deep Learning, including: o ML/DL frameworks: PyTorch ... Experience with AI systems that interact with the physical world (robotics, computer vision, edge ...

Deloitte

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

... such as Computer Science, Engineering, or Physics, or equivalent experience • 8+ years of ... deep learning, or generative artificial intelligence solutions in production environments • ...

Waabi

Senior / Staff Software Engineer, Mapping

OR · On-site +1

$141K - $242K/yr

You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting ... Bachelor's degree in Computer Science, Mathematics, or a related field; Master's or Ph.D. preferred ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large ...

OSARO

OR

$100K - $140K/yr

You will collaborate with all Engineering teams to learn everything there is to know about the hardware, deep learning, computer vision, motion planning, robotic control, etc. components of our ...

OSARO

OR

You will collaborate with all Engineering teams to learn everything there is to know about the hardware, deep learning, computer vision, motion planning, robotic control, etc. components of our ...

Cresta

OR

$104K - $143K/yr

Bachelor's degree in Computer Science, Mathematics, Machine Learning, AI, or a related field ... Deep experience with model evaluation, benchmarking, error analysis, and quality improvement for ...

Tyto Athene, LLC

Machine Learning Engineer

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life ...

Natera

OR · On-site

PhD in Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, or a highly ... Deep technical competency with transformer architectures, representation learning, self-supervised ...

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Contractual Computer Vision Deep Learning Engineer information

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Contractual Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Contractual Computer Vision Deep Learning Engineer job openings in Oregon as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Engineer/ML Engineer - Senior Developers - AI Training - Portland, US

Prolific Academic Ltd

Portland, OR • On-site, Remote

$80/hr

Full-time

Posted 2 days ago

Job description

AI & Machine Learning Engineer - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
  • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment.
  • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
  • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
  • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
  • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content.
What you'll be doing in the role
  • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
  • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness.
  • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness.
  • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down.
  • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics.
Key Technologies
  • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras.
  • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
  • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
  • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.