Research and development engineer jobs in Olympia, WA

The TikTok General Architecture team sits at the intersection of business and infrastructure, responsible for designing and optimizing the planet-scale business architecture that supports billions of users worldwide. Our mission is to embrace AI, build the most advanced business architecture infrastructure, establish public trust and compliance, focus on resource management and cost optimization, user experience and reliability, engineering quality, and development efficiency. Here, you will not only experience how technology directly empowers top-level business, but also deepen your technical expertise in planet-scale architecture research and engineering practices-transforming cutting-edge theory into real-world production solutions. Join us in exploring and driving the evolution of the next-generation planet-scale business architecture! We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. * Conduct research and optimization for TikTok's ecosystem, serving billions of users worldwide, supported by globally distributed, ultra-large-scale data center clusters, and the industry's largest microservice system (over one million distinct services). * Perform data modeling and algorithmic optimization on complex business architecture systems, applying scientific methods to solve key challenges in ultra-large-scale infrastructure and business architecture, including but not limited to capacity forecasting and planning, service and data placement optimization, traffic scheduling optimization, and risk prediction and prevention. * Deliver significant business and academic value through architecture optimization: 1. Achieve substantial cost savings at the world's largest internet scale; 2. Enhance infrastructure planning and decision-making for global-scale businesses through AI and algorithm capabilities; 3. Enable highly automated and intelligent large-scale architecture governance; 4. Produce research outcomes in real-world frontier architecture scenarios suitable for publication at top-tier academic conferences/journals. * Translate research outcomes into engineering solutions deployable in production, achieving a complete loop from theory to practice. * Collaborate with architects, infrastructure, and business teams to drive global-scale deployment and adoption of optimization solutions. * Continuously explore cutting-edge technologies and methodologies to shape the next 3-5 years of TikTok's global business architecture evolution.Minimum Qualifications * PhD degree in Computer Science, Software Engineering, Systems Engineering, Operations Research, Applied Mathematics, or a related field. * Solid research background in distributed systems, large-scale system optimization, or AI for Systems. * Strong problem-solving skills with the ability to model planet-scale, complex business and infrastructure systems, abstract key variables and constraints, and clearly articulate solutions through rigorous logical reasoning and effective communication. * Proficiency in optimization algorithms (e.g., integer programming, dynamic programming, graph optimization, reinforcement learning) and their application to large-scale optimization problems. * Proficiency in at least one mainstream programming language (e.g., Go, Java, C++, Python), with the capability to implement algorithms and models into production systems. * Ability to leverage AI tools and automation methods to efficiently accomplish tasks and enhance productivity, with strong motivation to explore cutting-edge technologies and solve complex industrial-scale problems. Preferred Qualifications * Experience in data modeling and analysis for large-scale systems or business architectures, with the ability to propose feasible optimization solutions based on business and system characteristics. * Publication record in top-tier conferences/journals such as OSDI, SOSP, NSDI, SoCC, SIGCOMM, KDD, NeurIPS. * Hands-on experience in optimization, scheduling, or resource management for ultra-large-scale production systems. * Familiarity with deployment and operations of large-scale distributed systems, and understanding of the challenges in cross-data-center and cross-region architecture optimization. * Experience in cross-domain collaboration (architecture, platform, business) to drive complex solutions into production.

The Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products. We are looking for strong ML applied scientists and engineers to build server-based and on-device large machine learning capabilities tailored for Apple Silicon. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc). Publication record at top AI/ML venues Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C Infrastructure management and debugging experience Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities PHD in related field Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models Software engineering skills in Python and general purpose system admin and infrastructure management abilities History of applied research in neural network model optimization or training or a related area application Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment MS degree and 3+ years of proven experience

Meta is seeking a Research Engineer to join content and user understanding team, with a focus of Large Language Model (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As a key driver of Meta's app growth, we're dedicated use LLM-powered world knowledge to deliver user experiences across Facebook, Instagram, Threads, and more. We are looking for engineers with a background in generative AI and NLP. Experience in areas like language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, efficient training and inference, and/or multimodal modeling is desired. **Required Skills:** Research Engineer, Language - Content and User Understanding Team Responsibilities: 1. Build Multi-Modal LLM backbones 2. Prepare human-labeled or auto-generated data for pre-training and fine-tuning 3. Fine-tune/RLHF for downstream content understanding and user understanding tasks 4. Model evaluation with human labeling or auto judge **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6. Research experience in machine learning, deep learning, and/or natural language processing 7. Experience with developing machine learning models at scale from inception to business impact 8. Programming experience in Python and hands-on experience with frameworks such as PyTorch 9. Understanding of architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 10. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) 11. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. A PhD in AI, computer science, data science, or related technical fields 13. Direct experience in generative AI and LLM research **Public Compensation:** $85.10/hour to $251,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation Research and integrate state-of-the-art technologies to optimize our ML system Ideally you'd have: Strong excitement about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills and the ability to operate in a cross functional team environment Nice to haves: Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$218,400-$273,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. We're looking for a Senior Product Security Engineer who is passionate about partnering with engineers to assess the security risk of new products and features. As a member of the Secure Design team, you will report to the Senior Manager of Product Security. Our Secure Design team enables DigitalOcean to build secure-by-design products. We leverage strong relationships with both product teams and the rest of security engineering to be successful. Our scope is primarily focused on reviewing early-stage decisions, helping develop threat models, scaling impact via automation, curating security patterns, authoring security guidance, training, and championing security initiatives. You will collaborate with other security teams and the rest of DigitalOcean to guide secure architecture design, reduce security risk in the organization, and empower engineers to make informed security decisions. Security at DO means solving incredibly complex problems at a high-scale that have real impact for our customers, our products, and the larger internet community. What you'll do: Threat model application designs and solutions and provide security risk assessments (70%) * Provide deep technical expertise in software and network architecture during holistic assessments of security layers across infrastructure, application, people, and process. * Collaborate with product managers, designers, and engineers to threat model and architect secure and resilient systems. * Identify the trade-offs of different solutions and recommend the efficient design to achieve both functional goals and security requirements. * Provide hands-on remediation guidance to development teams. Cultivate and promote a security culture (20%) * Champion an internal security culture (developer training, internal CTFs, etc.). * Mentor software engineering teams in security best practices. * Help oversee our vulnerability management program (we call it security debt). * Help DigitalOcean engineers understand how security events impact them. Do they need to worry about the next Log4j CVE? How does RetBleed impact DigitalOcean's fleet? Build security tooling and automations to help scale the Product Security team's practices (10%) * Use software architecture and coding patterns to reduce the impact of security issues. * Drive architecture, patterns, and processes across engineering that make security the easiest path. * Integrate custom security tooling into engineering workflows. What you'll add to DigitalOcean: Required qualifications: * Experience leading architectural changes or complex cross team efforts to mitigate security vulnerabilities. * Ability to clearly communicate security topics and vulnerability classes (e.g. OWASP Top Ten) and ability to provide actionable direction to product teams. * A record of partnering with internal engineering teams to tackle security problems across an entire stack with empathy and creativity. Engineering teams are our partners, not our adversaries. * Working knowledge of modern development concepts (virtualized environments, containerization, continuous integration + delivery). Preferred qualifications: * 3+ years experience guiding software teams on secure architecture design. * Experience building or reviewing threat models and ability to craft malicious user, attacker, and abuse/misuse cases. * Working knowledge of hardware and software supply chain security. * Familiarity with object oriented and functional programming concepts, particularly with languages such as Go, JavaScript, Rust, or C. Compensation Range: * $145,000 - $200,000 * This is a remote role. #LI-Remote Why You'll Like Working for DigitalOcean * We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. * We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. * We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. * We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. * DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

We are seeking an experienced Development Engineer to work on our R&D Team in our manufacturing facility in Tacoma, WA. Who We are: General Plastics Manufacturing Company specializes in the formulation of polyurethane foams and the production of build-to-print composite parts, offering custom solutions for industries such as aerospace, defense, and nuclear packaging. With over 80 years of expertise, GP delivers high-performance, precision-engineered composite components using advanced materials and manufacturing techniques. GPs focus with the LAST-A-FOAM line of products is meeting the exacting specifications of demanding markets by ensuring consistency, longevity, and durability. General Plastics is committed to quality, innovation, and timely delivery, making us a trusted partner for complex, mission-critical composite part needs. Position Summary: The Development Engineer will be responsible for the implementation and support of new and existing materials for GP. The ideal candidate will have hands-on experience with various materials processes and equipment and will have strong troubleshooting skills and mechanical aptitude. **This is not a software engineering position.** Responsibilities: Process Optimization / Production Support · Determine optimal process windows and define work instructions · Troubleshoot and resolve material and process issues encountered during manufacturing. · Identify and implement improvements to existing production processes to enhance efficiency, reduce costs, and improve product quality. New Product Development · Work with production teams to scale up new formulations from the lab to full-scale manufacturing; overseeing the creation of TDSs, work instructions, and related documents. · Fabricate or facilitate the creation of new equipment necessary to realize new material innovations. Collaboration · Collaborate with cross-functional teams, including production, sales, and quality assurance, to define product requirements and ensure manufacturability. · 3+ years of hands-on experience in a manufacturing or R&D setting, preferably with polymeric or composite materials. · In-depth knowledge of polymer or polyurethane chemistry and processing methods (e.g., molding, casting, injection). · Experience in process or equipment design and development. · Strong analytical and problem-solving skills, with a detail-oriented mindset. · Ability to work both independently and collaboratively within a team environment. · Excellent written and verbal communication skills. · Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Chemical Engineering, Materials Science, or a related field is a plus What We Have to Offer You: Your innovation and hard work can help create some of the most unique high performance plastic products for emerging markets, and long-term customers in the country. As a result, youll find one of the best compensation, benefits and advancement programs in the industry. Were looking for energetic, motivated people with a can-do attitude and a desire to work smart. If you are a person with a strong work ethic who enjoys the chance to excel in a positive, team-oriented setting, youll find General Plastics to be a rewarding environment. Plus, our Total Compensation Package is Beyond the Industry Average and includes the following: · Base compensation range is $80-$110k annually, depending on experience · Profit-Sharing Bonus Program paid 3 times per year · Outstanding Health Care Benefits including no premiums for medical and vision for entire family & no premiums for dental for employee · Company Matched 401K up to 8% · Employee Assistance Plan · We encourage healthy eating and subsidize lunchroom food/beverage costs · Disability & Life Insurance Package · Generous Earned Time Off Plan starts at 20 days of leave per year, plus 9 Paid Holidays ITAR - US Persons Status: Due to General Plastics' participation in the defense industry, International Traffic in Arms (ITAR) requires that access to sensitive information and material pertaining to defense and military related technologies may only be accessed, viewed, or shared by US Persons as defined by law. A "US Person" can be a US citizen, a lawful permanent legal resident, or an individual who has been admitted as a refugee or asylee. General Plastics Manufacturing Company EEO Statement: General Plastics is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, age, religion, gender, sexual orientation, gender identity, disability, veteran status, or any other legally protected status. Should you have a disability that requires assistance and/or reasonable accommodation with the job application process, please contact the Human Resources department at **************. Drug and Alcohol-Free Workplace: General Plastics is a Drug and Alcohol-Free Workplace and both post offer applicants and employees are subject to testing for marijuana, cocaine, PCP, opioids, amphetamines, and alcohol when criteria are met as outlined in our company policies. ** We are a federal subcontractor, and we test for marijuana.** Compensation details: 80000-11000 Yearly Salary PI4ef9583bf1cb-31181-38655664

Our Client is a multidisciplinary design engineering company that prides itself on customer service. We achieve this through investing in our team and creating a supportive working environment where our team can thrive. Our client's main initiative is building trust within our team is a top priority that is achieved by focusing on the professional development and growth of our team members. We strive to stay current with technologies, adapt within the current industry, and provide a fundamental commitment to mentorship for all employees. Here are a few ways we plan to support you when you are on our team: - A fun and inclusive atmosphere with a people-first philosophy - Flexible and hybrid work schedule options - Team building budgets are allocated to each team, with comped hours for fun and extracurricular activities. - Team building around philanthropic community-based events. - Quarterly check-ins with supervisors to review progress toward personal and professional development goals. - Partnering with you on your path toward certifications and licensing - Networking and ongoing education opportunities through conferences and industry organizations. - Mentorship opportunities internally and through partnering organizations. - One team philosophy between our offices with inter-office project collaboration on regional and national work. - Commitment to company growth to support the personal growth of our team. Skills Revit, Mechanical Design, HVAC, Design, Piping, Plumbing Top Skills Details Revit,Mechanical Design,HVAC Experience Level Expert Level Job Type & Location This is a Permanent position based out of Seattle, WA. Pay and Benefits The pay range for this position is $150000.00 - $450000.00/yr. profit Sharing, 401k, bonus, benefits, opportunity to lead a market sector. Workplace Type This is a hybrid position in Seattle,WA. Application Deadline This position is anticipated to close on Dec 23, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

Are you passionate about advancing the state of artificial intelligence and machine learning? Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders who thrive at the intersection of machine learning research and software engineering-those who can turn innovative ideas into working prototypes that push the boundaries of what's possible in intelligent systems. In this role, you'll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. You'll be expected to design, implement, and iterate on ML experiments rapidly, contributing to foundational model development that will shape the future of autonomous systems and intelligent robotics. Join us to reimagine the future of human-robot interaction. Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around. This role is located onsite at our Seattle, WA office. Cobot will offer a relocation stipend if you are relocating to join our Seattle office and currently live more than 50 miles outside of the office location. Key Responsibilities: * Design, build, and iterate on experimental ML pipelines supporting foundational model development. * Implement and train large-scale models, including transformers and diffusion-based architectures, for generative and control tasks. * Develop and evaluate reinforcement learning algorithms and frameworks for autonomous behaviors. * Rapidly prototype and deploy research ideas into working code to accelerate AI experimentation cycles. * Collaborate with cross-functional teams to integrate ML components into real-world systems. * Stay at the forefront of the latest AI research and share insights internally and externally. Minimum Qualifications: * Master's degree in Machine Learning, AI, Computer Science, or a related technical field. * Minimum 3 years of experience in applied ML research and software engineering. * Hands-on experience training (not just using) large-scale ML models such as transformers or diffusion models. * Strong understanding of reinforcement learning fundamentals and applications. * Proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow. * Proven ability to write clean, efficient, and scalable code that supports fast iteration. * Excellent collaboration and communication skills. Preferred Qualifications: * PhD in Machine Learning, AI, Computer Science, or related field. * 4+ years of experience in applied ML research and software engineering. * Experience designing ML experimentation frameworks and model training pipelines. * Practical knowledge of simulation environments or robotics systems. * While direct robotics manipulation experience is not required, familiarity with robotic systems or simulation environments is a plus. * Familiarity with multimodal architectures and imitation learning. * Understanding of edge compute or distributed ML training infrastructure. Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. To all recruitment agencies: Cobot does not accept agency resumes. Please do not forward resumes to our employees. Cobot is not responsible for any fees related to unsolicited resumes.

Are you passionate about advancing the state of artificial intelligence and machine learning? Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders who thrive at the intersection of machine learning research and software engineering-those who can turn innovative ideas into working prototypes that push the boundaries of what's possible in intelligent systems. In this role, you'll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. You'll be expected to design, implement, and iterate on ML experiments rapidly, contributing to foundational model development that will shape the future of autonomous systems and intelligent robotics. Join us to reimagine the future of human-robot interaction. Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around. This role is located onsite at our Seattle, WA office. Cobot will offer a relocation stipend if you are relocating to join our Seattle office and currently live more than 50 miles outside of the office location. Key Responsibilities: Design, build, and iterate on experimental ML pipelines supporting foundational model development. Implement and train large-scale models, including transformers and diffusion-based architectures, for generative and control tasks. Develop and evaluate reinforcement learning algorithms and frameworks for autonomous behaviors. Rapidly prototype and deploy research ideas into working code to accelerate AI experimentation cycles. Collaborate with cross-functional teams to integrate ML components into real-world systems. Stay at the forefront of the latest AI research and share insights internally and externally. Minimum Qualifications: Master's degree in Machine Learning, AI, Computer Science, or a related technical field. Minimum 3 years of experience in applied ML research and software engineering. Hands-on experience training (not just using) large-scale ML models such as transformers or diffusion models. Strong understanding of reinforcement learning fundamentals and applications. Proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow. Proven ability to write clean, efficient, and scalable code that supports fast iteration. Excellent collaboration and communication skills. Preferred Qualifications: PhD in Machine Learning, AI, Computer Science, or related field. 4+ years of experience in applied ML research and software engineering. Experience designing ML experimentation frameworks and model training pipelines. Practical knowledge of simulation environments or robotics systems. While direct robotics manipulation experience is not required, familiarity with robotic systems or simulation environments is a plus. Familiarity with multimodal architectures and imitation learning. Understanding of edge compute or distributed ML training infrastructure. Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. To all recruitment agencies: Cobot does not accept agency resumes. Please do not forward resumes to our employees. Cobot is not responsible for any fees related to unsolicited resumes.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary:$315,000-$340,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Quanex is looking for a Manufacturing Engineer to join our team in Chehalis, WA. Do you have experience designing equipment and executing capital projects for automation to help reduce costs, improve profitability, and support customer growth? Are you someone who believes in leading change and want to be part of a winning team? At Quanex we have the tools to help you achieve your goals! The Manufacturing Engineer will be working under limited to general supervision and will be responsible for controlling multiple project activities in the areas of product/process design, product/process modifications, manufacturability studies, plant usage, plant layouts, capital investments and engineering documentation. We Offer You! * Competitive Salary * Bonus Potential * 401K with 5% company match, yours to keep after 2 years * 15% immediate return if you participate in the company's ESPP * Medical, Dental & Vision Plans * Employer paid disability plans and life insurance * Paid Time Off & Holidays (2 weeks) and Paid Holidays (up to 9 days annually) * Standard Work Schedule * Tuition support for degree and continuous education * Employee Resource Groups focused on employee empowerment What's attractive about the Manufacturing Engineer position? * Supportive and collaborative culture * Ongoing interaction with multiple levels of the organization * Tenured team of leaders and peers to provide support and training * Knowledgeable and motivated team members What Success Looks Like: * Prepares funding requests for projects to implement new tools and equipment. The expectation for these projects can be large in nature and may be complex; they will have long term impacts to the operation of our business and provide gains in profitability. * Leads design estimation process, which includes determining the feasibility of design, estimates design times requirements, assembly, testing and project costs. * Determines and calculates financial justification for projects through labor savings, efficiency gains, scrap reduction, safety hazard elimination, etc. Financial analysis to include IRR and payback period. * Responsible for development of documentation necessary for manufacturability. This includes but is not limited to Bills of materials, Product Flow Charts, Part Drawings, Assembly Drawings, Schematic (Air, Lube, and Hydraulics) Piping Drawings and Orientation Drawings. * Communicates design intent to electrical engineering, ensuring electrical requirements are included in the design, and the product operates in the most efficient manner, without unnecessary complexity. * Manage total project activities with a plan for timely completion. The individual will be heavily involved in implementation teams and projects that have impact to the overall success of the organization. * Provide technical assistance to all company departments, as well as other divisions and customer(s). What You Bring: * Bachelor of Science Degree in Engineering discipline or equivalent experience to prove capabilities. * Minimum of two years' experience as a product/design/mechanical/manufacturing engineer or related engineering field. * Proficient in project management and communication skills. * Excellent time management skills with a proven ability to meet deadlines. * Strong analytical and problem-solving skills with the ability to assess problems or issues with manufacturing equipment. * Fluent in SolidWorks and other applicable engineering programs. * Proficient with Microsoft Office Suite or related software. The salary range for this position is $85,975 to $128,962 with bonus potential. About Quanex, A Part of Something Bigger Quanex (NYSE: NX) is a global, publicly traded manufacturing company primarily serving OEMs in the fenestration, cabinetry, solar, refrigeration and outdoor products markets. We are A Part of Something Bigger by improving the performance and aesthetics of end products through continuous innovation, helping customers achieve greater production efficiencies, dedication to giving back to communities where we operate, producing shareholder value and helping our employees learn, grow, and thrive. Learn more at Quanex.com. #QHP1 #LI-LG1

Hi, Greetings Hope you are doing great! I would like to update you on an urgent open position with our esteemed client. Please go through the Job Description. Send me your updated resume and expected rate for the below position. Note: Client is willing to Provide the Re-location Assistance Role: Test Analyst - SDET, Automation, C# development (Interview will be On 8th September 2017 and offers will be rolled out quickly) Duration: Full TIme Location: Seattle, WA Qualifications Basic • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • At least 2 years of experience with Information Technology Preferred • Minimum of at least 2 years of QA experience • Strong Functional Testing, Test Automation, SOA, Knowledge on SQL and Security testing. • Skills: Analytical abilities, Strong Technical Skills, Communication skills, ability to work in a multiple / diverse stakeholder's environment, People coordination • Strong automation expertise, with hands on experience in .Net and automation test experience with Selenium, C# /Java based frameworks. Should have experience in developing automation for web, Mobile (hybrid and Native apps) and service virtualization testing (Includes web Services and APIs) • Analytical and Communication skills • Experience and desire to work in a Global delivery environment Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Additional Information All your information will be kept confidential according to EEO guidelines.

At GHD, we don't just believe in the power of commitment, we live and breathe it every day. That's why we pledge to empower all of our people to make a positive impact. Combining our deep technical expertise with the capabilities of our clients and partners, we respond to some of the most complex challenges facing our planet today. See where your commitment could take you. Our pledge to you Join GHD That's the #PowerOfCommittment The importance of water to the health of our world can't be overstated. As the frequency and intensity of floods, droughts and storms increases, the water industry must continue to build resiliency and lead from the front. Together with our clients, we are thinking and doing things differently to help pre-empt and prepare for what's next. Be a part of this dynamic and committed team of diverse water specialists and drive change for your community. You'll be able to apply our powerful global network of skills and decades of experience to create positive water outcomes that respect nature and nurture communities. Who are we looking for? GHD is seeking a Staff Engineer- Maritime & Coastal practice and can be located in Seattle, WA. In this role, you will primarily assist with design and analysis of several waterfront projects in California, Oregon, Washington and the Pacific. This is a great opportunity to employ your engineering skills, learn from engaging mentors, be involved in challenging projects, and develop technical solutions on diverse projects. Our Hybrid Work Model Be part of the dynamic culture! Our workplace thrives on a hybrid model, combining in-office collaboration and flexibility. Join us in office, three days a week to contribute, connect and excel in our vibrant environment. Working with an energetic and high performing team, this position offers a variety of work and will see you involved in: Contract Management: Deliver required outcomes by coordinating activities of subcontractors and suppliers and acting as a primary point of contact for them while working within an established contract management plan. Improvement/Innovation: Identify shortcomings in existing processes, systems, and procedures, and use established change management programs to address them. Engineering Standards Specification: Carry out a range of activities under the guidance of more senior colleagues to support the drafting of engineering standards and specifications and the evaluation of the effectiveness of those standards. Knowledge Management System: Help others get the most out of knowledge management systems by offering support and advice. Client & Customer Management (External): Help senior colleagues manage client and customer relationships by using relevant sales or client systems. Data Collection and Analysis: Collate and analyze data using preset tools, methods, and formats. Involves working independently. Personal Capability Building: Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media. Technical Developments Recommendation: Research and suggest technical developments to improve the quality of the website/portal/software and supporting infrastructure to better meet users' needs. Product and Solution Development: Define and deliver products and services that meet customer needs by selecting the best possible approaches available within established systems. Research: Carry out a range of research activities either to support others or to fulfill the requirements of the role. Technical Troubleshooting: Support technical troubleshooting efforts, aiding in the quick and accurate identification, analysis, and resolution of technical issues with equipment and experiments. Education Bachelor's Degree in Civil, Environmental, or Mechanical Engineering Experience Minimum 3 years experience in Engineering, preferably Maritime and Coastal Benefits: 401K - Employees are eligible to participate on the first day of the month following 3 months of service Paid time off - Our PTO benefit is designed to provide eligible employees with a period of rest and relaxation, sick, and personal time throughout the year. PTO starts at 16 days per year and increases with years of service Holiday Pay - Holiday pay is provided for eligible employees. GHD observes 9 holidays per year. Holiday pay will be based on the regular set schedule for the employee Wellness Benefit- Regular full-term employees are eligible to participate in the wellness reimbursement program. GHD will reimburse 50% of the cost of the following to maximum of $250.00 reimbursement annually for such items as: Health club membership fees, Home exercise equipment purchases, Bicycles, Race, run & marathon entrance fees, Smoking cessation programs, Weight loss programs (i.e.-Weight Watchers, Jenny Craig), Fitbits and Fitness Tracking devices EEO Statement: As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. GHD is an equal opportunity employer. We provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, genetic information, national origin, sex (including same sex), sexual orientation, gender identity, pregnancy, childbirth, or related medical conditions, age, disability or handicap, citizenship status, service member status, or any other category protected by federal, state, or local law. Salary Range: $83,000- $140,000 based on experience. #LI-KM1

Skills Inc., one of Washington State's largest aerospace suppliers offers world-class, competitively-priced products and services which exceed customer's requirements for rigorous standards and excellence. We are a fully integrated, self-funded non-profit with a social mission to train, employ and serve persons with disabilities and our community. JOB SUMMARY As part of our recent growth, we are seeking an experienced Manufacturing Engineer to join our team. The ideal candidate will develop and improve manufacturing processes by studying and implementing production, manufacturing and finish methods. ESSENTIAL DUTIES AND RESPONSIBILITIES * Evaluate manufacturing processes by applying knowledge of product design, fabrication, assembly, tooling and materials. * Develop manufacturing processes by studying product requirements. * Improve manufacturing efficiency by analyzing and planning work flow, space requirements, and equipment layout. * Provide manufacturing decision-making information by calculating production, labor and material costs; reviewing production schedules and estimating future requirements. * Use process steps to define and call out reasonable set up and run times. * Write operator work instructions and inspection documents to ensure compliance with product, process and system requirements. * Accurately interpret aerospace manufacturing drawings, specifications and engineering requirements. Provide technical support and training to coworkers, customers, and suppliers. * Write mistake-proof work instructions and manufacturing processes to ensure compliance with product, process and system requirements; reduce variation and improve repeatability. * Refine and enhance products and processes by applying continuous improvement and lean manufacturing principles and techniques. * Provide technical support and training to coworkers, customers, and suppliers. * Ensure compliance with all federal, state, company and customer requirements. * Act as primary point of contact for supplier inquires, product and process conformance decisions, and process improvement activities. * Develop constructive and cooperative working relationships with others and maintain them over time. * Identify opportunities for process improvement and increased efficiency. PREFERRED QUALIFICATIONS * Thorough knowledge of aerospace manufacturing drawings, specifications and engineering requirements. * Ability to write clear, accurate, comprehensive and concise documents, formatted to increase information accessibility and grammatically correct. * Ability to lead cross-functional teams and experienced in developing win-win relationships with coworkers, customers, suppliers, and auditors. * Experience with the fabrication, assembly, application of protective finishes, and inspection of structural aerospace products. Catia v5 experience a plus. * Thorough knowledge of AS9100 quality system requirements. Familiarity of Nadcap requirements a plus. * Solution orientated, able to define problems, collect data, establish facts and draw valid conclusions to solve a wide range of difficult problems in practice and cost effective ways. * Proficient with Microsoft Word and Excel. * Accepting of criticism and ability to deal calmly and effectively with stressful situations. * Willingness to take on responsibilities and challenges. * Ability to identify, organize, estimate and recognize differences or similarities. * Ability to deal with a wide variety of personalities and communication styles. * Ability to provide direction and guidance. LANGUAGE SKILLS * Ability to read, write, communicate and/or follow written and verbal instructions in English. * Ability to communicate in English through voice, or American Sign Language or adaptive technology. CONFIDENTIALITY The responsibilities of this position may require an individual to access and hold in confidence certain information. This means that information and/or documentation acquired about employees, suppliers, customers, business practices, and all other related information remains confidential. PREFERRED EDUCATION/EXPERIENCE * High school diploma or equivalent. * Five (5) years Aerospace experience. * Three to five (3-5) years Aerospace Manufacturing Engineer Planning experience. ITAR - US PERSON STATUS Due to Skills Inc.'s participation in the defense industry, International Traffic in Arms Regulations (ITAR) requires that access to sensitive information and material pertaining to defense and military related technologies may only be accessed, viewed or shared by US Persons as defined by law. A "US Person" can be a US citizen; a lawful permanent legal resident or an individual who has been admitted as a refugee or asylee. PHYSICAL DEMANDS/WORK ENVIRONMENT The physical demands and work environment described here are representative of those that must be met by the employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Constant reaching, non-forceful grasping and fine manipulation. * Frequent exposure to an indoor manufacturing environment with a moderate noise level. * Frequent lifting and moving up to 10 lbs. * Frequent sitting while working at a computer work station. * Frequent standing and walking. * Occasional exposure to fumes and airborne particles. * Occasional lifting and moving up to 25 lbs. Definitions: Constant (5-8 hrs. /shift) Frequent (2-5 hrs. /shift) Occasional (Up to 2 hrs. /shift) SHIFT ASSIGNMENT 1st Shift; Monday-Friday 7am-3:30pm TOTAL REWARDS SUMMARY At Skills Inc., our most important partnership is the one we share with our employees. We are dedicated to supporting the health and well-being of our employees and their dependents, which is why we offer a comprehensive and valuable benefits package that includes medical, dental, vision, life and AD&D insurance, paid time off and a 401(k) savings plan to eligible employees. SALARY DESCRIPTION Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations. Skills Inc. is a self-supporting Social Enterprise and is organized as a 501 (c) (3) non-profit. We have three lines of business; Aerospace Manufacturing, Aerospace Finishing, and Business Solutions, that operate in 2 locations. Skills Inc. employs over 250 people and our social mission is to train, employ and serve persons with disabilities. We accomplish our mission three ways; direct hire, vocational programs and services, and as a resource to the community. Salary Range: $27.00-$42.00 BENEFITS SUMMARY * Paid Vacation* * Paid Sick * 401(k) with a percentage company-match contribution* * Paid holidays*- prorated based on shift * Medical, dental, vision and life insurance* * Employee Assistance Plan EEO and ADA STATEMENT Skills Inc. is committed to cultivating a culture of diversity, equity, and inclusion. We invite employees, participants in our services, vendors, and customers to bring their authentic selves to every interaction. We strive to represent the communities in which we serve. We aspire to see and value people across the spectrums of age, ability, gender, race, sexual orientation, perspectives, and other visible and invisible differences. Skills Inc. embraces equitable practices at the center of our daily work and believe our organization is stronger for it. Skills Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. OTHER DUTIES This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. New responsibilities, activities and duties may be modified or added at any time by a member of the management team. 1st Shift; Monday-Friday 7am-3:30pm

The Apple Intelligence Model Optimization and Algorithms Development team brings innovative AI research into Apple products. We are looking for strong Machine Learning Applied Scientists and Research Engineers to build ground breaking server-based and on-device large machine learning capabilities and emerging innovations. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc). Publication record at top AI/ML venues Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C. Infrastructure management and debugging experience Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities PhD in related field Proven ability to define goals and deliver results when faced with uncertainty and real-world constraints in AI product development Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models Python coding and general purpose system admin and infrastructure management abilities History of applied research in neural network model optimization or training or a related area application Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment BS degree and 5+ years of experience, MSc and 3+ years of experience, or PhD and 1+ year of experience

Our Client is a multidisciplinary design engineering company that prides itself on customer service. We achieve this through investing in our team and creating a supportive working environment where our team can thrive. Our client's main initiative is building trust within our team is a top priority that is achieved by focusing on the professional development and growth of our team members. We strive to stay current with technologies, adapt within the current industry, and provide a fundamental commitment to mentorship for all employees. Here are a few ways we plan to support you when you are on our team: • A fun and inclusive atmosphere with a people-first philosophy • Flexible and hybrid work schedule options • Team building budgets are allocated to each team, with comped hours for fun and extracurricular activities. • Team building around philanthropic community-based events. • Quarterly check-ins with supervisors to review progress toward personal and professional development goals. • Partnering with you on your path toward certifications and licensing • Networking and ongoing education opportunities through conferences and industry organizations. • Mentorship opportunities internally and through partnering organizations. • One team philosophy between our offices with inter-office project collaboration on regional and national work. • Commitment to company growth to support the personal growth of our team. Skills Revit, Mechanical Design, HVAC, Design, Piping, Plumbing Top Skills Details Revit,Mechanical Design,HVAC Experience Level Expert Level Job Type & Location This is a Permanent position based out of Seattle, WA. Pay and Benefits The pay range for this position is $150000.00 - $450000.00/yr. profit Sharing, 401k, bonus, benefits, opportunity to lead a market sector. Workplace Type This is a hybrid position in Seattle,WA. Application Deadline This position is anticipated to close on Dec 23, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

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 committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Reward models are a critical component of how we align our AI systems with human values and preferences, serving as the bridge between human feedback and model behavior. In this role, you'll build the infrastructure that enables us to train reward models efficiently and reliably, scale to increasingly large model sizes, and incorporate diverse forms of human feedback across multiple domains and modalities. You will own the end-to-end engineering of reward model training at Anthropic. You'll work at the intersection of machine learning systems and alignment research, partnering closely with researchers to translate novel techniques into production-grade training pipelines. This is a high-impact role where your work directly contributes to making Claude more helpful, harmless, and honest. Note: For this role, we conduct all interviews in Python. Responsibilities: Own the end-to-end engineering of reward model training, from data ingestion through model evaluation and deployment Design and implement efficient, reliable training pipelines that can scale to increasingly large model sizes Build robust data pipelines for collecting, processing, and incorporating human feedback into reward model training Optimize training infrastructure for throughput, efficiency, and fault tolerance across distributed systems Extend reward model capabilities to support new domains and additional data modalities Collaborate with researchers to implement and iterate on novel reward modeling techniques Develop tooling and monitoring systems to ensure training quality and identify issues early Contribute to the design and improvement of our overall model training infrastructure You may be a good fit if you: Have significant experience building and maintaining large-scale ML systems Are proficient in Python and have experience with ML frameworks such as PyTorch Have experience with distributed training systems and optimizing ML workloads for efficiency Are comfortable working with large datasets and building data pipelines at scale Can balance research exploration with engineering rigor and operational reliability Enjoy collaborating closely with researchers and translating research ideas into reliable engineering systems Are results-oriented with a bias towards flexibility and impact Can navigate ambiguity and make progress in fast-moving research environments Adapt quickly to changing priorities, while juggling multiple urgent issues Maintain clarity when debugging complex, time-sensitive issues Pick up slack, even if it goes outside your job description Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have experience with Training or fine-tuning large language models Reinforcement learning from human feedback (RLHF) or related techniques GPUs, Kubernetes, and cloud infrastructure (AWS, GCP) Building systems for human-in-the-loop machine learning Working with multimodal data (text, images, audio, etc.) Large-scale ETL and data processing frameworks (Spark, Airflow) Representative projects Scaling reward model training to handle models with significantly more parameters while maintaining training stability Building a unified data pipeline that ingests human feedback from multiple sources and formats for reward model training Implementing fault-tolerant training infrastructure that gracefully handles hardware failures during long training runs Developing evaluation frameworks to measure reward model quality across diverse domains Optimizing training throughput to reduce iteration time on reward modeling experiments The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. Annual Salary:$350,000-$500,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Skills Inc., one of Washington State's largest aerospace suppliers offers world-class, competitively-priced products and services which exceed customer's requirements for rigorous standards and excellence. We are a fully integrated, self-funded non-profit with a social mission to train, employ and serve persons with disabilities and our community. JOB SUMMARY As part of our recent growth, we are seeking an experienced Manufacturing Engineer to join our team. The ideal candidate will develop and improve manufacturing processes by studying and implementing production, manufacturing and finish methods. ESSENTIAL DUTIES AND RESPONSIBILITIES • Evaluate manufacturing processes by applying knowledge of product design, fabrication, assembly, tooling and materials. • Develop manufacturing processes by studying product requirements. • Improve manufacturing efficiency by analyzing and planning work flow, space requirements, and equipment layout. • Provide manufacturing decision-making information by calculating production, labor and material costs; reviewing production schedules and estimating future requirements. • Use process steps to define and call out reasonable set up and run times. • Write operator work instructions and inspection documents to ensure compliance with product, process and system requirements. • Accurately interpret aerospace manufacturing drawings, specifications and engineering requirements. Provide technical support and training to coworkers, customers, and suppliers. • Write mistake-proof work instructions and manufacturing processes to ensure compliance with product, process and system requirements; reduce variation and improve repeatability. • Refine and enhance products and processes by applying continuous improvement and lean manufacturing principles and techniques. • Provide technical support and training to coworkers, customers, and suppliers. • Ensure compliance with all federal, state, company and customer requirements. • Act as primary point of contact for supplier inquires, product and process conformance decisions, and process improvement activities. • Develop constructive and cooperative working relationships with others and maintain them over time. • Identify opportunities for process improvement and increased efficiency. PREFERRED QUALIFICATIONS • Thorough knowledge of aerospace manufacturing drawings, specifications and engineering requirements. • Ability to write clear, accurate, comprehensive and concise documents, formatted to increase information accessibility and grammatically correct. • Ability to lead cross-functional teams and experienced in developing win-win relationships with coworkers, customers, suppliers, and auditors. • Experience with the fabrication, assembly, application of protective finishes, and inspection of structural aerospace products. Catia v5 experience a plus. • Thorough knowledge of AS9100 quality system requirements. Familiarity of Nadcap requirements a plus. • Solution orientated, able to define problems, collect data, establish facts and draw valid conclusions to solve a wide range of difficult problems in practice and cost effective ways. • Proficient with Microsoft Word and Excel. • Accepting of criticism and ability to deal calmly and effectively with stressful situations. • Willingness to take on responsibilities and challenges. • Ability to identify, organize, estimate and recognize differences or similarities. • Ability to deal with a wide variety of personalities and communication styles. • Ability to provide direction and guidance. LANGUAGE SKILLS • Ability to read, write, communicate and/or follow written and verbal instructions in English. • Ability to communicate in English through voice, or American Sign Language or adaptive technology. CONFIDENTIALITY The responsibilities of this position may require an individual to access and hold in confidence certain information. This means that information and/or documentation acquired about employees, suppliers, customers, business practices, and all other related information remains confidential. PREFERRED EDUCATION/EXPERIENCE • High school diploma or equivalent. • Five (5) years Aerospace experience. • Three to five (3-5) years Aerospace Manufacturing Engineer Planning experience. ITAR - US PERSON STATUS Due to Skills Inc.'s participation in the defense industry, International Traffic in Arms Regulations (ITAR) requires that access to sensitive information and material pertaining to defense and military related technologies may only be accessed, viewed or shared by US Persons as defined by law. A "US Person" can be a US citizen; a lawful permanent legal resident or an individual who has been admitted as a refugee or asylee. PHYSICAL DEMANDS/WORK ENVIRONMENT The physical demands and work environment described here are representative of those that must be met by the employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Constant reaching, non-forceful grasping and fine manipulation. • Frequent exposure to an indoor manufacturing environment with a moderate noise level. • Frequent lifting and moving up to 10 lbs. • Frequent sitting while working at a computer work station. • Frequent standing and walking. • Occasional exposure to fumes and airborne particles. • Occasional lifting and moving up to 25 lbs. Definitions: Constant (5-8 hrs. /shift) Frequent (2-5 hrs. /shift) Occasional (Up to 2 hrs. /shift) SHIFT ASSIGNMENT 1st Shift; Monday-Friday 7am-3:30pm TOTAL REWARDS SUMMARY At Skills Inc., our most important partnership is the one we share with our employees. We are dedicated to supporting the health and well-being of our employees and their dependents, which is why we offer a comprehensive and valuable benefits package that includes medical, dental, vision, life and AD&D insurance, paid time off and a 401(k) savings plan to eligible employees. SALARY DESCRIPTION Please note that the salary information shown below is a general guideline only. Salaries are based upon candidate experience and qualifications, as well as market and business considerations. Skills Inc. is a self-supporting Social Enterprise and is organized as a 501 (c) (3) non-profit. We have three lines of business; Aerospace Manufacturing, Aerospace Finishing, and Business Solutions, that operate in 2 locations. Skills Inc. employs over 250 people and our social mission is to train, employ and serve persons with disabilities. We accomplish our mission three ways; direct hire, vocational programs and services, and as a resource to the community. Salary Range: $27.00-$42.00 BENEFITS SUMMARY Paid Vacation* Paid Sick 401(k) with a percentage company-match contribution* Paid holidays*- prorated based on shift Medical, dental, vision and life insurance* Employee Assistance Plan EEO and ADA STATEMENT Skills Inc. is committed to cultivating a culture of diversity, equity, and inclusion. We invite employees, participants in our services, vendors, and customers to bring their authentic selves to every interaction. We strive to represent the communities in which we serve. We aspire to see and value people across the spectrums of age, ability, gender, race, sexual orientation, perspectives, and other visible and invisible differences. Skills Inc. embraces equitable practices at the center of our daily work and believe our organization is stronger for it. Skills Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. OTHER DUTIES This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. New responsibilities, activities and duties may be modified or added at any time by a member of the management team. 1st Shift; Monday-Friday 7am-3:30pm