San Francisco, California, United States · On-site
$200k–$350k/yr
About Us Preference Model is building automated ML research engineering. Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environmen…
Skills: C, C++, CUDA, Python, Reinforcement learning
Seattle, Washington, United States · On-site
$135k–$189k/yr
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Skills: Embedded software development, C, C++, Python, IP networking
Seattle, Washington, United States · On-site
$165k–$231k/yr
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Skills: C, C++, Python, Ansible, Terraform
Seattle, Washington, United States · On-site
$120k–$168k/yr
Job Description The Department of Laboratory Medicine & Pathology has an outstanding opportunity for an Operations Research Manager to join their team. About this Opportunity The UW BioRepository and Integrated Neuropath…
Skills: Pathologists' assistant, Biospecimen acquisition, Histology, IHC workflow, Laboratory management
Seattle, Washington, United States · On-site
$198k–$277k/yr
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Skills: C, C++, Python, Ansible, Terraform
Seattle, Washington, United States · On-site
$423k–$745k/yr
The Foundation We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to liv…
Skills: Strategic planning, Biotech, Health technology, Venture capital, Scientific research
Seattle, Washington, United States · On-site
$121k–$169k/yr
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Skills: Component Testing, Data Analysis, Test Procedure Authoring, Failure Analysis, Project Scheduling
Seattle, Washington, United States · On-site
$38/hr–$58/hr
Perform moderate to high complexity clinical laboratory tests in an assigned department of the clinical laboratory to provide physicians with rapid and accurate laboratory test results. Required Education and Experience …
Skills: Clinical laboratory testing, Medical technology, Point of care testing, Laboratory science, Specimen analysis
Seattle, Washington, United States · On-site
$60/hr–$96/hr
Want to help pets live their best lives? We’re proud to be where the pets go and where the pet people go. If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurt…
Skills: Veterinary medicine, Physical examinations, Diagnosis, Surgery, Dentistry
Seattle, Washington, United States · On-site
$167k–$226k/yr
We are looking for an seasoned Applied Scientist to design, build, and deploy the ML/AI models that power our decision intelligence platform. You will work at the intersection of causal inference, time-series forecasting…
Skills: Causal inference, Time-series forecasting, Anomaly detection, LLM integration, Python
ADC Therapeutics America, Inc.Seattle, Washington, United States · Remote OK
Description Transforming Cancer Therapy Together At ADC Therapeutics, we are passionate about revolutionizing cancer treatment. When you join our team, you become part of a mission-driven group of talented individuals de…
Skills: Medical Science Liaison, Hematology, Oncology, Clinical Data Analysis, Relationship Management
San Francisco, California, United States · Hybrid
$285k–$380k/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: Data science, Python, SQL, Data visualization, Experimental design
San Francisco, California, United States · Hybrid
$320k–$405k/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: Full-stack development, Python, TypeScript, React, System design
Seattle, Washington, United States · On-site
The Program Director will oversee all aspects of facility operations, maintenance, and engineering services for the portfolio. This role is responsible for ensuring the reliability, efficiency, and safety of building sys…
Skills: Facilities management, Leadership, HVAC systems, Building automation systems, Preventive maintenance
Seattle, Washington, United States · Remote OK
$245k–$275k/yr
A-Alpha Bio is an early-stage, rapidly growing biotechnology platform company headquartered in Seattle, WA. We are focused on building the foundational data layer for AI-driven protein engineering. We provide biopharma c…
Skills: Sales, Account Management, Biotechnology, Pharmaceutical Sales, Salesforce
San Francisco, California, United States · Hybrid
$245k–$285k/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of co…
Skills: Risk assessment, Product safety, Policy development, AI ethics, Stakeholder management
Seattle, Washington, United States · On-site
$145k–$203k/yr
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Skills: Mechanical Packaging, 3D CAD Modeling, Structural Analysis, Thermal Analysis, GD&T
Seattle, Washington, United States · On-site
$121k–$169k/yr
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Skills: Materials science, Mechanical engineering, Manufacturing engineering, Aerospace engineering, Material characterization
Seattle, Washington, United States · On-site
$135k–$164k/yr
Cardinal Health’s Global Medical Products and Distribution (“GMPD”) segment, focuses on U.S. and International Products and Distribution businesses. We offer industry expertise and an expanding portfolio of safe, effecti…
Skills: Sales process management, Capital equipment sales, Lead generation, Financial modeling, Clinical laboratory knowledge
Seattle, Washington, United States · On-site
$145k–$203k/yr
Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re workin…
Skills: Hardware-in-the-loop testing, Spacecraft electrical systems, Avionics, Flight software, System design
San Francisco, California, United States • On-site
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Design and build low-level, kernel-focused reinforcement learning environments that target specific hardware and model distributions. You will own the end-to-end development of these environments, including task design, scoring infrastructure, and hardening against reward hacking.
Candidates must possess strong low-level systems engineering skills with fluency in C, C++, and CUDA, alongside hardware-aware coding expertise. A background in kernel development, performance optimization, and an adversarial mindset for building robust scoring systems is required.
Preference Model is building automated ML research engineering.
Existing frontier models are brittle when applied to real-world ML tasks. The present bottleneck is the lack of high-quality RL training environments. Our first step is to build RL environments that reflect real-world complexity, with diverse tasks and robust reward functions.
Our founding team has previous experience on Anthropic’s data team building data infrastructure, and datasets behind Claude. We are partnering with leading AI labs to push AI closer to achieving its transformative potential.
We’re hiring experienced Machine Learning Engineers for our Low Level / Kernels Capabilities team. The Kernels team builds reinforcement learning (RL) environments at the lowest layers of the stack. Think GPU and accelerator kernels, vector ISAs, codec and crypto primitives, FPGA work, and more. These are the domains where frontier models are weakest, niche paradigms, hardware underrepresented in training data, and open benchmarks that show models lagging.
This role blends research and engineering. It will require you to both develop novel approaches and realize them in code. You will own environments end-to-end: choose the domain, design the tasks, build the scoring and infrastructure, and harden it against reward hacking. Because the tasks run so low in the stack, robust scoring and sandboxing are a real part of the job, making sure a model can't game the timer instead of writing the kernel.
Design and build low level / kernel-focused reinforcement learning (RL) environments that target a specified model and difficulty distribution.
Choose which environments are worth building. A strong kernel environment hits several marks:
Targets a niche or genuinely hard domain;
Exercises real hardware features (tiling, streaming, async copy, vector ISAs);
Interesting hardware or simulators (FPGAs, novel accelerators, gem5);
Research-motivated, grounded in benchmarks where models lag;
Has a recognized reference to measure against (cuBLAS/FFTW/OpenSSL/etc.);
Scales into many diverse tasks from a single design.
Build correctness and performance scoring that's deterministic and can't be gamed: the objective is clear, and the only way to hit it is to actually write the kernel.
Strong low-level/systems engineering: fluent in C / C++ / CUDA (or an equivalent kernel language), comfortable dropping to assembly when it matters.
Strong, engineering-quality Python across your prior work, writing production code, automation and deployment scripts, data analysis and plotting (not notebook-only).
Hardware-aware coding: you write with the silicon in mind, considering memory hierarchy, occupancy, data movement, parallelism, latency vs throughput etc.
Kernel development experience: you write kernels and optimize them iteratively against a profiler.
An adversarial mindset: you turn fuzzy goals into robust, ungameable scoring, and you ask "how would a model cheat this?"
Hands-on work with LLMs
Ownership and autonomy: you build, debug, and ship end-to-end with minimal supervision.
Have shipped a kernel that approached SOTA and can explain the remaining gap.
Have depth in a niche hardware target or ISA: FPGA/HLS, RISC-V Vector, DSPs, SIMD/AVX, TPUs.
Have depth in an adjacent discipline; HPC/heterogeneous clusters, hardware design (RTL/HDL, HLS), compilers and kernel toolchains (MLIR/LLVM, Mojo, Triton, gem5), or formal verification (Lean, Coq, SMT).
Read performance and architecture papers and turn them into running code.
Have open-source contributions others rely on.
Have a strong competitive-programming background (ideally in a low-level language).
Have built RL environments, agent harnesses, or evaluation infrastructure.
Competitive cash and equity compensation (>90th percentile)
Ownership and autonomy in a fast moving startup environment
Opportunity to work with top machine learning engineers
Health, vision, dental, benefits
401K match
Lunch provided everyday onsite
Weekly snack orders
Visa sponsorship & relocation support available
Preference Model builds RL environments that automate ML research and engineering.
View all jobs at Preference ModelBased on 1053 listings with disclosed salaries, most science & research jobs in Seattle, WA pay between $65k–$225k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,179 open science & research positions in Seattle, WA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Blue Origin, Amazon, UW Medicine, Anthropic, Seattle Children's, among others. Browse the listings above to see every active employer.
Yes — 248 of the 1179 open science & research positions offer remote or hybrid work (62 remote, 186 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
