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Junior Machine Learning Compiler Engineer Jobs in Albany, OR

Bespoke Labs

Machine Learning Engineer

Salem, OR · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. Familiarity with game engines such as ...

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

In addition to driving research direction, you will play a key role in shaping the technical roadmap for robot learning at Agility and leveling up a growing team of junior AI research engineers by ...

Agility Robotics

Staff AI Research Engineer

Salem, OR

$216K - $338K/yr

In addition to driving research direction, you will play a key role in shaping the technical roadmap for robot learning at Agility and leveling up a growing team of junior AI research engineers by ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

We are looking for a talented and motivated Associate Software Engineer to join our development ... machine learning or artificial intelligence. • Familiarity with game engines such as Unreal ...

OptiTrack

Associate Software Engineer

Corvallis, OR · On-site

We are looking for a talented and motivated Associate Software Engineer to join our development ... of machine learning or artificial intelligence. · Familiarity with game engines such as Unreal ...

SAIC

Deskside support Engineer

Salem, OR

Escalation point for Junior and Mid-level desk side engineers. Ability to act independently in a ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

SAIC

Deskside support Engineer

Salem, OR · On-site

Escalation point for Junior and Mid-level desk side engineers. Ability to act independently in a ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

SAIC

Deskside support Engineer

Salem, OR · On-site

Escalation point for Junior and Mid-level desk side engineers. Ability to act independently in a ... Installation and configuration of new machines in a Windows environment * Smart cards / PIV cards ...

ENTEK

Senior Control Systems Engineer

Lebanon, OR · On-site

$85K - $145K/yr

Mentor junior controls engineers and controls technicians * Support after-hours troubleshooting ... Machine commissioning and startup experience Job Locations This position may be based at one of the ...

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All JobsMachine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer Jobs in Albany, OR

Junior Machine Learning Compiler Engineer information

See Albany, OR salary details

$33.4K

$71.6K

$109.3K

How much do junior machine learning compiler engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for junior machine learning compiler engineer in Albany, OR is $71,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $79,800.00 per year, depending on experience, location, and employer.

What are typical projects and responsibilities for a Junior Machine Learning Compiler Engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What does a Junior Machine Learning Compiler Engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

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

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

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

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Albany, OR? The most popular types of Machine Learning Compiler Engineer jobs in Albany, OR are:
What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in Albany, OR? For Junior Machine Learning Compiler Engineer jobs in Albany, OR, the most frequently searched job titles are:
Junior Machine Learning Compiler Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Salem, OR • On-site

Full-time

Re-posted 13 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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