Machining engineer jobs in Sammamish, WA

Amazon Logistics (AMZL) is changing the way we interact with customers around the globe every single day and solving some of the biggest logistical challenges facing not just Amazon, but the entire industry. In order to meet the needs of millions of customers worldwide in an environment where speed is of the essence, we are consistently looking for the next breakthrough or innovation which will disrupt the delivery business and enable a step change in the way millions of customers get their orders. If the notion of leading engineering projects amongst the world's brightest talent to full potential excites you; if the idea of using ground-breaking technologies to develop last mile logistics systems in the multi-national juggernaut that is Amazon has your attention, then keep reading. Are you an innovative leader that wants to design the next generation of world-class equipment for delivery stations? Do you want a high level of ownership in solving complex problems? Does the challenge of designing systems that leverage ground breaking automated material handling equipment appeal to you? If so, we have the job for you! The WW Equipment Engineering Innovation team is searching for an innovative and solutions-oriented engineer to lead the initiative of developing and delivering current and next generation equipment for our world-class delivery stations. This is a unique opportunity at a critical juncture in Amazon's growth to drive end to end equipment development, work with vendor across the world to increase vendor's design and manufacturing capability and drive internal and external equipment quality control mechanisms. We are looking for a hands-on leader with experience in any of the following areas; Production Part Approval Process (PPAP), Manufacturing/Mechanical Plant Engineering, First Article Inspection (FAIR). In this role, you will collaborate with internal and external teams to design high-quality, cost-effective solutions for our last mile delivery systems. To be successful in this role you will need to be able to influence and work with senior leaders across multiple organizations and geographies. You will work with organizations such as Worldwide (WW) Engineering and Design, WW Tech SME, Last Mile Delivery and Tech as well as Operations to innovate at scale and drive the development roadmap. You will manage large, complex initiatives, and advocate on behalf of the customer to develop the next generation of AMZL delivery station. You will work with a team of highly skilled and highly engaged engineers in a fast-paced and often ambiguous environment. Our team works on the medium and long term, incremental and radical innovation of process infrastructure, equipment and standards for launch and legacy delivery stations. You will be challenged; you will learn; you will work on high impact, high visibility projects; you will grow. Key job responsibilities - Act as the WW technical expert for equipment development. This includes taking a leading role in equipment testing and validation. - Lead idea generation for innovative design/equipment solutions to existing operational problems. - Create documentation for equipment solutions, such as design definitions, quality specifications, assembly instructions and equipment design standards, etc. - Generate structured plan to turn innovative equipment design solutions from ideas to assessment, pilot and finally expansion - Own and deliver against plans, providing network reporting, financial approval and leadership approval for all stages of program progression - Act as technical expert in area of ownership, providing technical expertise to other Engineering teams, alongside providing technical challenge for suppliers and partners - Build large-scale business proposals based on innovation designs for WW Ops Engineering, often with ambiguity; collaborate with WHS, Planning, Launch, Procurement, Finance, HR, external partners and product teams to ensure project completion (on time and within budget) - Ensure customer satisfaction by following through with requests and ensuring needs are met as accurately and immediately as possible - Own internal process innovations across the Engineering Org, including owning road-mapping and planning for given area of responsibility and ensuring roadmap is delivered - Coordinate with Tech/Software teams, driving the operational execution of software enhancements as well as ensuring the software supports the physical design/process innovations - Up to 50% regional and WW travel depending on business needs BASIC QUALIFICATIONS- 5+ years of design & innovation, research & development work experience - Bachelor's degree in Engineering or a foreign equivalent - Experience with design & innovation and research & development - Experience in management of engineering design projects - Experience using business or technical software like MS Excel, MS Project, and CAD software PREFERRED QUALIFICATIONS- 5+ years of specialty (with progressive responsibility) experience - Master's degree in Engineering (any domain), Operations, Business Administration, or a related field - Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making - Experience with complex automated material handling equipment, packaging technologies, and systems and high-speed manufacturing - Experience with design-in-safety Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

KGS Group is seeking a Mechanical Engineer to join our growing practice in Bellevue, Washington or Granite Bay, CA. About Us We are KGS Group, an employee-owned, multidisciplinary engineering consulting firm serving clients throughout North America. We're different than traditional engineering firms. We believe a commitment to lasting relationships is just as critical as the expertise applied in our work. To us that means we put our clients and people first. We have the discipline to consistently deliver KGS Quality, never taking the easy way out. We always look closer and dig deeper. And no matter the project, we care enough to do it right. As an employee-owned company, we're invested in our work and our people. Working with us means you'll be part of some of the most interesting projects up and down the west coast. With the extensive, wide-ranging expertise within our company, you'll have countless opportunities to learn and grow. Many of our core clients operate in the hydropower and water management fields. We are growing our U.S. team to continue to provide our industry-leading services to these clients. As we expand our presence on the west coast, we are looking for strong candidates at all levels to join our team! The Role As a Mechanical Engineer, you will be responsible for providing engineering inputs integral to both small and large-scale hydro and dam projects. You will lead technical teams and mentor junior staff, support production, and coordinate delivery of engineering work products with multi-disciplinary project team members and external stakeholders. You will not only support and help grow the broader engineering team capabilities, but your particular focus will be on continuing the development of our hydropower capabilities and working with key staff in growing the business. You'll also be involved in supporting project management duties, coordinating with internal and external clients as well as assisting with guiding and mentoring other engineers within the team. In this role you will lead teams conducting technical work involving turbines, generators, and their associated ancillary systems, as well as other balance of plant systems such as gates, hoists, cranes, pumping systems, lubrication systems, and other critical equipment at hydroelectric powerplants. You will lead teams conducting technical work for feasibility studies, engineering designs, preparation of construction drawings and specifications, and carrying out site visits and inspections. You will be working in a collaborative environment with a great team of engineers, technicians, scientists, and other industry-leading peers, and you will also interface directly with clients. Key Responsibilities: Design modifications to, or entirely new, mechanical systems related to dams, control structures, water retaining structures, and hydroelectric generating stations. Execute multiple projects from the proposal stage through to completion. Projects will include a variety of small to large projects involving water resources, flood control, and hydroelectric sectors. Conduct site investigations, condition assessments, and provide design and construction support. Mechanical engineering design and refurbishment of cranes, hoists, hydroelectric turbines, generators, and other balance of plant systems. Conduct feasibility studies for proposed designs and assess costs and benefits for alternatives in a systematic and thorough manner. Preparation and review of reports. Work collaboratively with other disciplines to execute project deliverables, as well as ensure that quality objectives, schedules, and budgets are met. Edit and prepare design specifications. Contribute to the development of the hydro-mechanical practice at KGS by assisting the US mechanical design lead by documenting technical knowledge, improving internal production processes, coordinating and developing internal training content, and other tasks. Perform other duties as assigned. About You To fill the role, we're looking for an applicant to bring forward a good mix of qualifications and previous experiences. Some highlights should include: Minimum of a Bachelor of Science (BS) in Mechanical Engineering from an ABET accredited university. A post-graduate degree would be an asset. Minimum of 7-15 years of experience in mechanical engineering. Must be registered as a Professional Engineer (P.E.) in Washington, Oregon, or California, as well as eligible for registration as a professional engineer in other states by comity through NCEES; or, if not already registered as a PE, would be able to obtain licensure within 1 year from date of hire. Previous consulting experience is preferred, but not required. Excellent verbal and written communication skills are required. Must be self-motivated, and able to work independently with minimal supervision and manage several projects simultaneously. Travel to project sites is usually limited but will be required at times depending on project/client requirements. The amount of travel time desired by our employees can usually be accommodated. Must possess a valid driver's license and the ability/willingness to undergo security clearance checks. Client interaction: must be able to effectively assume a lead role as project engineer at project meetings and communicate project and technical information. Demonstrated experience in site investigations, condition assessments, design, and construction support are preferred. The salary range for this position is $110,000-$160,000 Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors, including candidate's experience, skills, and location. KGS Group is committed to providing a fair, equitable, and competitive package that reflects the value an individual brings to the organization. KGS Group is an employee-owned equal opportunity company offering an excellent compensation and benefits package. KGS Group welcomes and encourages applications from people with disabilities. Upon request, KGS Group will provide reasonable accommodation for disabilities to support participation of candidates in all aspects of the recruitment process. *Please help us learn more about you, your professional goals, and why this job is a good fit for you by submitting a cover letter along with your resume. We highly encourage all applicants to provide a cover letter.*

Mechanical Engineer - Electric Propulsion Systems Schedule: Day Shift Type: Contract Role Pay Rate: $56-$75 per hour Come and join our Team! Saxon is hiring a Mechanical Engineer to support the design and delivery of next-generation electric propulsion and battery systems for the aerospace industry. This role is part of a cutting-edge effort to revolutionize how aircraft are powered, advancing electric aviation technology from development to market readiness. If you have a strong background in electric vehicle (EV) or electrification systems, and experience designing complex mechanical systems within regulated, high-performance environments, we want to hear from you. Key Responsibilities Apply aerospace-standard design practices to electric aircraft motors and sub-components, including machined components, bearing sizing, materials, coatings, fasteners, lubricants, and DFM. Conduct trade studies on design and manufacturing options, identifying methods for risk reduction and technology development. Produce complete design packages - detailed drawings, analysis reports, BOMs, and assembly instructions. Conduct reviews of designs, manufacturing plans, and test procedures to ensure compliance with design and performance requirements. Coordinate with cross-functional teams (Quality, Sourcing, Manufacturing, Testing, etc.) to ensure smooth hardware delivery. Lead resolution of technical problems, driving consensus across departments. Develop a strong understanding of technical and certification requirements for electric propulsion systems in aviation applications. Required Qualifications Bachelor's degree in Mechanical or Aerospace Engineering. 3+ years of relevant engineering experience. Practical experience using 3D CAD (SOLIDWORKS) and PDM systems. Strong background in electric vehicles (EV), electric machines, or powertrain systems. Preferred Qualifications Experience with aviation propulsion systems or electric motor development. Knowledge of hardware delivery processes and electric machine design principles. Strong understanding of GD&T per ASME Y14.5-2009 and ASME Y14.100-2013 standards. Follow us on LinkedIn! **************************************************** Benefits through Saxon Aerospace include no-cost medical coverage for employee, prescription coverage, mental health resources and 401K. Saxon Aerospace US Inc. is an equal opportunity employer. We value and embrace diversity. We do not discriminate on the basis of race, color, national origin, religion, gender, gender identity or expression, sexual orientation, marital status, age or disability status. Saxon Aerospace US Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

At Mercor, we're building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you're an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we'd love to meet you. ## What to Expect As a Machine Learning Engineer, you'll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - **Schedule:** Remote and asynchronous-set your own hours - **Commitment:** ~20 hours/week - **Duration:** Through December 22nd, with potential extension into 2026 ## What You'll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You'll Bring - **Experience:** 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - **Required Skills:** Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - **Bonus:** Contributor to ML benchmarks - **Location:** MUST be based in the United States ## Compensation & Terms - **Rate:** $80-$120/hr, depending on region and experience - **Payments:** Weekly via Stripe Connect - **Engagement:** Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

Role: Mechanical Engineer (Aerospace) Duration: Full -Time Seeking an experienced Mechanical/CAD Design Engineer to support aerospace component design. You will create 2D/3D models, perform engineering analyses, and manage design changes using CATIA V5 and ENOVIA. Responsibilities: Create/update 2D drawings & 3D models (CATIA V5) Perform tolerance stacks & engineering calculations Manage Engineering Change Requests (ENOVIA) Apply GD&T and ensure fit, form, function Support manufacturing and resolve design issues Communicate project updates and document deliverables Required: Bachelor's in Mechanical/Aerospace Engineering 5+ years CATIA V5 (Aerospace) ENOVIA experience Strong drafting, GD&T, and communication skills Preferred: Knowledge of machining/molded parts Process documentation or project coordination experience

Engineering Design & Testing Corporation (“EDT”) is a professional services organization providing forensic engineering, technical consulting, fire investigation, risk mitigation, and associated services across the United States. Founded in 1978, EDT brings more than 45 years of experience providing objective civil / structural, mechanical, and electrical forensic engineering analysis, accident reconstruction services, and expert witness and litigation support to industrial, manufacturing, insurance, and legal professionals requiring comprehensive, unbiased, technically sound opinions and reporting with a wholistic perspective. As an Employee-Owned company, our team of highly qualified experts are vested in delivering cost-effective, responsive, and reliable professional services and deliverables to our clients. Position Summary: Serves as the Engineer-In-Charge (“EIC”) responsible for coordinating with clients, performing site visits, managing resources, writing reports, and setting deadlines to ensure project deliverables are submitted in a professional and timely manner. Conducts investigations involving MEP systems, mechanical devices, and various types of machinery and / or equipment, including but not limited to, HVAC systems, hydraulic / pneumatic devices, pressure vessels, combustion equipment and / or rotating equipment. Performs root cause analyses, hazard and damage assessments, repair vs. replace evaluations and cost estimates, lab and field testing of materials, and design and manufacture defect evaluations. Must be a licensed professional engineer with a thorough understanding of fundamental engineering principles along with a firm comprehension of the function and operation of a wide range of mechanical components and equipment. Provides expert judgement and forms objective, fact based, technically sound opinions and unbiased conclusions on case assignments from insurance adjusters, independent adjusters, attorneys, and other non-legal, non-insurance clients. Must be willing to travel and physically able to climb, stand, walk and kneel for extended periods of time. Is self-motivated and capable of working independently as well as in a group environment with a dedication to ethics, quality, and customer service. This is a Hybrid/Remote role. The successful candidate must reside in the Pacific Northwest. Primary Duties & Responsibilities: Working independently, while ensuring the timely and cost-effective execution of assigned cases; Serving as the primary point of contact with clients including development and coordination of case budgets, work orders, site visits, cost estimates, and associated deliverables. Maintaining contact with clients on active cases to provide status updates, including case spend and budget status, and addressing questions, needs, or concerns at least every other week, or as otherwise agreed upon; Assisting with the development and ongoing updates to the scopes of work associated with assigned cases, as necessary; Making independent decisions for assigned cases, including the selection of applicable analysis and testing methodologies and identification and selection of resources relevant to execution of the established scope of work; Managing resources for assigned cases, including both in-house and third-party sub-contractors where applicable, to meet established deadlines; Engaging other disciplines to address areas of assignments outside of your experience or expertise / discipline, where necessary; Conducting onsite investigations, testing, and gathering applicable field data on residential, commercial and industrial properties to assess damage and gather evidence of damage and / or loss; Preparation of repair and / or replacement cost estimates, as necessary; Participating in conference calls and / or in-person meetings with clients regarding investigation status and results; Preparation of forensic reports clearly detailing the observations made, documentation and data collected from onsite inspections, laboratory examinations, applicable research conducted, testing and performance analysis results, and the associated conclusions; Providing technical support and testifying as an expert witness in depositions and court proceedings, as necessary; Collaborating with clients, colleagues, attorneys and other industry professionals, as necessary; Maintaining weekly updates to case status reports and working with the Regional Engineering Manager and Chief Engineer to address any issues with clients or your assigned cases; Conducting research and keeping current with industry best practices and emerging technologies; Developing technical topics for publication, industry presentations, and both internal and external training and continuing education development; Supporting EDT's marketing and business development resources including occasionally participating in client-relations meetings, attending industry conferences, preparing marketing and technical presentations, assisting with the development of marketing materials, preparing industry blogs and white papers, and engaging with other industry professionals; Participating in EDT's mentorship program and supporting the training and development of new engineers in conjunction with the Chief Engineer and assigned Training Coordinator; Secure and maintain professional licensure (at Company's expense) in all states where conducting investigations, including remaining current on any continuing education requirements, as necessary. Key Skills & Qualifications: Strong interpersonal skills; Excellent oral and written communication skills with a proven ability to write comprehensive technical reports; Strong organizational and time management skills; Advanced analytical and problem-solving capabilities; A high degree of integrity, honesty and moral values adhering to the Professional Engineer Code of Ethics; Ability to work independently with minimal supervision, as well as within a team environment; A collaborative demeanor with the ability to work through conflict, differing perspectives and opinions, and communicate across differing backgrounds and education levels; Ability to travel out-of-town, with periodic overnight travel required; Have strong PC, Tablet and software skills, including: MS Office - Word, Excel, PowerPoint required; Adobe Acrobat DC , Bluebeam Revu , or comparable PDF software; B.S. or M.S. Degree in Mechanical Engineering required; 4+ years' experience in forensic engineering preferred, relevant mechanical engineering & design experience considered; P.E. License with NCEES registration required; Valid driver's license required; Engineering Design & Testing Corporation is an Equal Opportunity Employer

Who is Wyze? Wyze is a high-growth, Series B, consumer technology company. Our vision is to make great technology accessible to everyone through our smart home platform. Our aim is to serve everyday people, like me, you, and our friends and families, with products and services that are too good to be true. We want employees who will be inspired by this and welcome all who will help us build the next amazing chapter at Wyze. Wyze is home to some of the most innovative products and services in the market. Forbes named us in their America's Best Startup Employers 2023 list, Time Magazine selected us for their 100 Most Influential Companies of 2022, Fast Company named us as one of the Most Innovative Companies in 2021and PCMag gave our Cam v3 an Editor's Choice Award. We disrupted the market with our Wyze Cam v1 and then quickly took over as a market leader in the space. We recently disrupted it again with our revolutionary Cam Plus Pro service. GeekWire calls us a start-up to watch and one of the Pacific Northwest's next unicorns… and we are just getting started. Our people-centric innovative vision is not only present in our products and services, but it is also embedded in the fabric of our company. We were just listed in the Top 100 Best Places to Workby Built in Seattle, listed as one of their Best Midsize Companies to Work For and awarded as one of their Companies with the Best Benefits. Seattle Business Magazine certified us as a Best Places to Work too! We value the unique life experiences every employee brings to work every day. We are committed to creating an inclusive environment whereby our employees are encouraged to be their authentic whole selves and are rewarded for their impact across the company. Everyone is welcome and empowered to do the best work of their lives. If you are based in the Greater Seattle Metropolitan area, we are working hybrid (three days a week in the office and two days a week remote). Come join us and make the impossible possible! Overview: Wyze is seeking a talented and dedicated Senior Product Security Engineer to join our dynamic and rapidly growing team. As a Senior Product Security Engineer at Wyze, you will play a critical role in safeguarding our systems, networks, and data, ensuring the security and privacy of our products and services. You will collaborate with cross-functional teams and be responsible for implementing and maintaining security measures, monitoring for threats, and responding to incidents. Key Responsibilities: API Pentesting Mobile Pentesting Binary exploitation secure source code review Security Implementation: Design, implement, and maintain security measures for Wyze's Smart Products. Threat modeling for hardware products, creating SBOM for firmware, pentesting IoT smart devices and cameras. Vulnerability Assessment: Conduct regular security assessments and vulnerability testing to identify and remediate potential weaknesses in our products and applications. Security Policies: Develop and enforce security policies, standards, and procedures to ensure compliance with industry best practices and relevant regulations. Collaboration: Work closely with cross-functional teams, including software developers, DevOps engineers, and IT teams, to integrate security into the software development lifecycle and ensure a proactive security posture. Security Research: Stay updated on emerging threats, vulnerabilities, and industry best practices, and provide recommendations to improve our security posture. Qualifications: Bachelor's degree in Computer Science, Cybersecurity, or a related field. Advanced degrees or relevant certifications are a plus. Security Assessment and Penetration Testing: Conduct ethical hacking and penetration testing on camera devices and web applications to identify vulnerabilities and security flaws. Proven experience in cybersecurity roles, emphasizing embedded systems, network, and application security. Security Implementation: Develop and implement robust security measures to protect camera devices, web applications, and data infrastructure from unauthorized access and potential threats. Data Management and Query Optimization: Manage and optimize data queries in Snowflake, ensuring data integrity, efficiency, and compliance with data governance standards. Knowledge of cybersecurity frameworks and standards such as NIST, ISO 27001, or CIS. Proficiency in security tools and technologies, including firewalls, intrusion detection systems, SIEM solutions, and more. Strong programming and scripting skills (e.g., Python, Bash). Relevant certifications such as OSCP, OSWE , OSED, OSEE are preferred. IoT Embedded exploit researcher Manual Static code analysis review Exceptional problem-solving skills, attention to detail, and strong communication abilities. Our Benefits Wyze has a full benefits package through Premera Blue Cross. This includes Medical, Dental, Vision, Basic Life Insurance, Voluntary Life Insurance, EAP, Short-term disability, Long-term disability, FSA, and Daycare FSA. Employee premiums will be paid 100%, and about 67% paid premium for dependents. 12 Holidays - 8 set holidays and 4 Floating Holidays for you to use however you choose 24 days of PTO every year Additional Wyze anniversary vacation days Principal 401k Plan - there is no company match at this time Rosetta Stone reimbursement if you'd like to learn Mandarin $50 a month reimbursed as a technology stipend - taxes apply Wyze employee product perks: Wyze employees receive an array of our most loved products and services, as well as Wyze software services once they are launched. Employees also get a chance to participate in our beta program for unreleased products to help make Wyze better for all! Come Join Us! If this sounds too good to be true and you are ready to be part of #teamwyze, then we want to hear from you! Please send us a cover letter that showcases some of the outstanding things you can do and how you feel they could apply to our vision and projects here at Wyze! We will ensure individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at *******************. Lastly, and exceptionally important to us: we are an equal opportunity employer and value diversity as well as inclusion here at Wyze. We are fully committed to providing equal employment opportunities for all employees and all applicants for employment. That's how we do things! Job Type: Full-time Pay: $140,000 - $220,000 per year

Job Title: Research Engineer Duration: 12 Months W2 Contract We are seeking a Research Engineer for our team that researches new wearable AI devices and interaction models. This role combines development of interactive AI experiences and research of human behavior. Top 3 Must-Have Skills 1+ year experience developing user interfaces / interactive experiences 2+ year experience developing with C++/C# in a game engine (Unity, Unreal), Unity is preferred. 2-3+ years in Python for data analysis (numpy, scipy) Nice-to-Have Skills Familiarity with user research, behavioral experiments Familiarity with sensing technologies (IMU, EMG, cameras, microphones) Advanced degree (MS, PhD) in a related field Experience developing for AR/VR/wearables Experience using ML libraries and/or LLMs Experience w/ C++ Responsibilities Implement user interfaces for internal demos and formal user studies Work with prototype hardware and constellations of computing devices Collaborate with researchers to build data processing pipelines

Title: Research Engineer Duration: Long term contract Top 3 Must-Have Skills 1. 1+ years experience developing user interfaces / interactive experiences 2. 2+ years experience developing with C++/C# in a game engine (Unity, Unreal), Unity is preferred. 3. 2-3+ years in Python for data analysis (numpy, scipy) Nice-to-Have Skills ● Familiarity with user research, behavioral experiments ● Familiarity with sensing technologies (IMU, EMG, cameras, microphones) ● Advanced degree (MS, PhD) in a related field ● Experience developing for AR/VR/wearables ● Experience using ML libraries and/or LLMs ● Experience w/ C++ Degrees/Certifications BS in Computer Science or a related technical field

- CAD Engineer RATE- $50/hr Job descriptions: - 10+ years of experience required EDA Semiconductor Design Enablement Responsible for supporting and optimizing Electronic Design Automation (EDA) tools and flows used in silicon design. This role bridges design teams and infrastructure, ensuring high availability, performance, and scalability of CAD environments across front-end and back-end workflows.

D'Leon Consulting Engineers is seeking a Lead Engineer in Seattle, WA. Responsibilities Lead and coordinate engineering and design teams across civil, structural, mechanical, and electrical disciplines. Oversee value engineering, design-to-budget, and constructability reviews to support efficient, cost-effective delivery. Manage engineering deliverables for planning, preliminary design, and final design phases in compliance with agency standards and FTA requirements. Provide leadership in quality assurance/quality control (QA/QC), risk management, and technical documentation. Support project development through conceptual alternatives analysis, stakeholder coordination, and environmental documentation. Ensure alignment with Sound Transit's program objectives, technical standards, and regulatory requirements. Mentor and guide junior engineers and task leads across multiple concurrent projects. Collaborate closely with project management, architecture, and systems integration teams to achieve cohesive and constructible design solutions. Qualifications Bachelor's degree in Civil, Structural, Mechanical, Electrical, or a related Engineering discipline (Master's preferred). Licensed Professional Engineer (WA PE preferred). Minimum 15 years of progressive engineering and project leadership experience. Proven track record delivering linear transit infrastructure such as light rail, bus rapid transit (BRT), or operations and maintenance facilities. Experience managing engineering tasks under design-build and design-bid-build delivery methods. Strong understanding of Sound Transit, WSDOT, or FTA project requirements. Excellent communication and stakeholder engagement skills. Prior work on Sound Transit projects or similar large-scale capital improvement programs. Demonstrated ability to integrate engineering, environmental, and stakeholder priorities into cohesive design strategies. Familiarity with multidisciplinary team coordination and cost/schedule management. D'Leon Consulting Engineers is an equal opportunity employer committed to fostering an inclusive and respectful workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

LHH is seeking a Senior Databricks AI/ML Engineer to join our client's team in a fully remote role based in Seattle, WA. LHH has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our client's engineering team. This role focuses on building and deploying scalable AI/ML solutions across key areas of the insurance functions, including underwriting, claims, pricing, customer engagement, and fraud detection, with a strong emphasis on Databricks architecture and ecosystem integration. The engineer will collaborate closely with data scientists, actuaries, product owners, and engineers to operationalize models, transforming them into robust, production-grade systems seamlessly integrated into business workflows and enterprise platforms. Salary & Benefits: $135k to $180k annually (depending on location & experience) Medical, dental, and vision insurance 401(k) plan with employer match Vacation time accrues at a rate of 10 days annually, with increases based on a tenure schedule, up to a maximum of 25 days per year. PTO included Four (4) personal days are granted immediately upon hire. Paid holidays are provided for the eight (8) holidays observed in this role throughout the calendar year. Up to ten (10) days of sick leave are granted immediately upon hire (pro-rated based on hire date and full-time/part-time status). Additional paid time off is available for bereavement, jury duty, and employee volunteer activities in the community. Life and disability insurance Minimum Qualifications: Bachelor's degree in Computer Science, AI/ML, Data Science/Engineering, or related field (or equivalent experience). 6+ years experience in ETL pipelines, SQL Server, and production data workflows. 3+ years enterprise experience with Azure & Databricks AI/ML, including data analysis and visual analytics. 3+ years applying ML algorithms and transforming data science prototypes into production. 5+ years experience with CI/CD workflows for ML models and related code. Strong SQL, real-time and batch data pipeline development, and unsupervised learning techniques. Familiarity with agile methodologies (e.g., Scrum). Responsibilities: Conduct customer workshops to gather requirements and design analytics architectures using Azure and Databricks AI/ML. Serve as Databricks Architect, managing workspace design, deployment, and governance across environments. Define and implement Databricks Lakehouse architecture and governance best practices. Integrate Databricks with Azure services and lead implementation of Databricks SQL, Delta Live Tables, and MLflow. Develop and maintain automated MLOps workflows for model deployment, monitoring, and lifecycle management. Set up and configure Azure and Databricks infrastructure for AI/ML workloads. Review ML model code and analytics scripts for quality and performance. Design and build data pipelines and cloud services for monitoring, analysis, and reporting. Develop robust ETL workflows using Databricks, Spark, and SQL Server for structured and unstructured data. Provide production support and performance tuning for data engineering workflows. Optimize complex SQL queries and stored procedures for data processing and business logic. Collaborate with cross-functional teams to ensure data quality and support business decision-making. Scale and deploy machine learning models to handle large-scale data. Feed raw data into models and build deployment pipelines for new models. Implement logging, observability, and performance monitoring for AI/ML systems. Conduct architecture reviews and performance testing. Perform other duties as assigned. Preferred Qualifications: Master's degree in a related field. Experience in the insurance industry (Auto, Home, Umbrella) and related AI/ML applications. Proficiency with tools/platforms: Azure ML, Databricks, Microsoft Fabric, Synapse, Power BI, Snowflake, and APIs like Azure OpenAI and Cognitive Services. Knowledge of streaming frameworks: Apache Kafka, Azure Event Hubs, Delta Live Tables. Strong math, problem-solving, and rapid learning skills. Excellent communication, organization, and independent work capabilities. Service-oriented mindset with ability to handle ambiguity and build strong relationships. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ******************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act • Los Angeles City Fair Chance Ordinance • Los Angeles County Fair Chance Ordinance for Employers • San Francisco Fair Chance Ordinance

Holmberg Mechanical is currently seeking a confident, passionate, highly motivated, and organized Project Engineer/Coordinator. The ideal candidate will have demonstrated organizational skills, the ability to multi-task, show a friendly & positive attitude, with a professional demeanor while maintaining a high level of productivity and integrity. The candidate's primary responsibility is to provide onsite project management. Working under the direction of a Project Manager, the successful candidate will work to implement key construction initiatives, ensure organization and consistency throughout the department and take ownership of all related issues and resolutions. Why Holmberg? Our culture! If you are looking for a fun place to thrive, Holmberg Mechanical is for you. We've made Puget Sound Business Journal's Best Places to Work List seven times, our CEO was named “Most Admired CEO” by the PSBJ in 2020, and we made Inc. Magazine's “5000 Fastest Growing Companies” List in 2019 and 2020. We have been in business since 1949 and are one of Washington state's oldest union plumbing companies. We are dedicated to helping our community with numerous events to support local non-profit organizations. We choose to pursue projects in our area that matter to us. If you would like to work with experts in the industry, on projects that matter to local people, in an inspiring environment, with room for growth and promotion, let's talk. Job Function/Responsibilities -Work as a team member with the project team and assist the Project Manager with management support. -Assist in the development and maintenance of construction project schedules, CPM schedule development, and standardization -Document control & organization, generate submittals & RFIs, prepare subcontracts, and manage subcontractors -Procurement of material, support of cost engineering, support of equipment buyouts, estimating support, support marketing & sales, and assist with project billings -Developing mutually successful relationships with clients Qualifications -Two years minimum as a Project Engineer/Assistant Project Manager. -Available to work flexible hours, an average of 40 hours per week standard, or as needed. -LOCAL CANDIDATES ONLY Skills and Requirements - Strong technical problem-solving ability. - Knowledge of Microsoft and Office Software. - Solid project management skills and methods. - Solid understanding of mechanical and plumbing systems. - BlueBeam Revu & Smartsheet a plus. Compensation is between $70,000 to $85,000 annually plus a competitive benefits package. Holmberg Mechanical is an Equal Opportunity Employer, offering qualified applicants' consideration for employment without regard to race, color, religion, sex, physical or mental disability, age, citizenship, pregnancy, genetic information, veteran status, gender identity, gender expression, sexual orientation, national origin, and any other protected status. Learn more about us at *******************

About the team The TikTok USDS Shop Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance shop ads-both open-loop and closed-loop-to establish TikTok US as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad revenue and are committed to developing the next-generation shop ad solutions for the platform. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities: * Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ad ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization. * Explore, develop and experiment with new features to improve model accuracy. * Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. * Collaborate with Global counterpart, Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.Minimum Qualifications: * Highly self-motivated to drive business growth and foster technical advancement. * Proficient in using SQL and Python and experience with data manipulation * Experience with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing for efficient data mining on large-scale datasets. * Solid understanding of machine/deep learning concepts and techniques, including feature engineering, model evaluation, and optimization. * Strong analytical and problem-solving skills, with a demonstrated ability to handle and derive insights from complex and unstructured datasets. Preferred Qualifications: * Master's or advanced degree in Computer Science, Data Science, Statistics, or a related field. * 5+ years experience as a Machine Learning Engineer, Data Scientist, and experience in causal machine learning is preferred * Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms or related fields is preferred. * Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: **Building the future of Disney's media:** Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. **Reach, Scale & Impact:** More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News...and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. **Innovation:** We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration. **WHAT YOU'LL DO** + Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. + Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. + Design, build, and scale robust ML systems that power core ad platform capabilities + Champion engineering excellence through best practices in code quality, system design, and operational reliability. + Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. **WHAT TO BRING** + Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. + Strong knowledge of AI/ML technologies, mathematics and statistics. + Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences + Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL + Familiarity with tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc + Proven proficiency in deep learning methodologies, including recurrent and sequence-based models. + Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks. + Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data. + Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc. + Strong grasp of LLM evaluation methodologies, experience with RAG architectures. + A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. **NICE-TO-HAVES** + Experience in digital video advertising or digital marketing domain. + Experience with forecasting models. Required Education Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field **Location** : Seattle / Santa Monica \#DISNEYTECH The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. **Job ID:** 10137359 **Location:** Seattle,Washington **Job Posting Company:** Disney Entertainment and ESPN Product & Technology The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

At Chewy, it is our mission to become the most trusted and convenient online destination for pet parents and our partners vets and service providers alike. Our success is measured by the happiness of the people and pets we serve, not simply by the amount of pet supplies we deliver. That's why we continue to think of outside-the-Chewy-box ways to delight, surprise, and thank our loyal pet lovers! Our Opportunity: Marketing is a critical component of the ecommerce ecosystem and provides the core of the customer's first experience at Chewy. At Chewy, we are seeking a Staff Machine Learning Engineer to serve as a technical anchor for our Marketing Science and Operations Technology team (Martech). This role is pivotal in shaping the future of our machine learning capabilities and infrastructure. As a Staff MLE, you will provide hands-on technical leadership-designing, building, and deploying scalable ML systems-while mentoring engineers and guiding architectural decisions across the organization. You'll partner closely with product engineering, data science, and leadership to ensure our models and platforms deliver measurable impact to users and the business. This is both a strategic and execution-focused role: you'll balance deep technical contributions with cross-functional collaboration, setting best practices for experimentation, deployment, and monitoring of ML systems. The ideal candidate is not only highly skilled in building and scaling production ML but also thrives in shaping engineering culture and helping the team grow through mentorship and influence. What you'll do: You will lead new models from conceptualization to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications. Establish high bar on model performance, establish applied-science implementation standard processes and mentoring junior scientists. Deploy solutions at Chewy scale improving overall customer engagement and value for Pet Parents and marketers. Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and business customers with varying levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations. What You'll Need: 7+ years of experience in applied machine learning, data science, or ML engineering, with at least 2+ years working at Staff/Principal level or equivalent technical leadership capacity. Proven track record of designing, building, and deploying ML models into production at scale. Strong software engineering foundations (Python, Java/Scala, or similar) with experience in backend or platform development. Expertise in ML lifecycle tooling using Databricks with MLflow and Airflow. Deep knowledge of data pipelines, feature stores, and distributed training/serving systems. Ability to set technical direction and influence cross-functional teams through architecture reviews, design documents, and mentorship. Strong communication skills and the ability to partner effectively with product managers, software engineers, and leadership Bonus: Experience in e-commerce or retail. Exposure to front-end or product-facing integration of ML features. Prior experience mentoring and growing engineers into more senior technical roles. Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related field. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Base Salary Range$185,000-$296,000 USD Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact **************. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! We are building an advanced AI platform that powers next-generation creative workflows for flagship products like Photoshop and Lightroom. As a Sr. Machine Learning Engineer, you will combine hands-on engineering with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting-edge large language models (LLMs) and vision-language models (VLLMs). In this role, you will: * Build core agent capabilities, including planning, memory, verification, and tool orchestration. * Integrate with multi-tenant runtimes across desktop, web, and mobile surfaces. * Partner with product and platform teams to deliver reliable, scalable, and delightful AI experiences for millions of users. * Evaluate and integrate multiple model providers, balancing quality, latency, and cost with strong observability. * Define practical evaluation approaches to ensure high-quality releases. What you'll bring: * 8+ years building ML/AI or platform systems, including production experience with LLM/VLLM-backed features. * Strong software engineering skills in Python and TypeScript; experience with cloud services. * Proficiency in C++ is a big plus * Depth in agentic systems (planning, tool use, memory) and multimodal pipelines. * Passion for turning frontier AI into impactful products. If you thrive at the intersection of advanced AI and product engineering, and you want to shape how millions of creatives work every day, we'd love to hear from you. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $162,000 -- $301,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

We're a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work-and have a lot of fun while they're at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You'll have the opportunity to drive your own success in a supportive, globally connected environment. From advanced tools and technology to an immersive company culture, working at Logic20/20 means working on the leading edge, with a community of the right people around you. Job Description Logic20/20 is seeking a Lead Machine Learning Engineer to lead and support data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through application of machine learning models. What you'll do: Lead conceptual designs and create frameworks to predict a variety of outcomes in different scenarios Build, deploy, and optimize machine learning models Collaborate with other data scientists and stakeholders on projects Develop solutions in R or Python Develop production-grade solutions Work in Hadoop, Redshift, and Spark Translate business and product questions into analytics projects Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights About the team The Logic20/20 Advanced Analytics team is where skilled professionals in data engineering, data science, and visual analytics join forces to build simple solutions for complex data problems. We make it look like magic, but for us, it's all in a day's work. As part of our team, you'll collaborate on projects that help clients spin their data into a high-performance asset, all while enjoying the company of kindred spirits who are as committed to your success as you are. And when you're ready to level up in your career, you'll have access to the training, the project opportunities, and the mentorship to get you where you want to go. "We build an environment where we really operate as one team, building up each other's careers and capabilities." - Adam Cornille, Senior Director, Advanced Analytics Qualifications Required: 10-15 years of experience as a machine learning (MLOps), data, and/or software engineer using Python in a production environment Experience building, deploying, and optimizing machine learning models Strong experience with AWS: AWS Glue, Sagemaker Strong experience with Terraform Strong CI/CD experience Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing and deployment Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc. Knowledge of statistics and Machine Learning techniques Experience with GitHub Experience building data pipelines Preferred: Master's degree/PhD in computer science or related field Ability to build enterprise templates Ability to model dashboards Ability to monitor models in production Azure DevOps Ability to implement best practices Additional Information At Logic20/20, we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package, with a target base salary range of $150,000 - 180,000. The final base salary offered is dependent on factors such as relevant experience, skills, qualifications, and location. Eligible employees may also qualify for performance-based bonuses and other incentives. All your information will be kept confidential according to EEO guidelines. Learn more about life at Logic20/20! Visit our Life at Logic page to explore our culture, benefits, and what makes Logic20/20 a great place to grow your career! Core Values At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees-and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at ********************************************* Equal Opportunity Statement We believe that people should be celebrated: for their talents, ideas, and skills, but most of all, for what makes them unique. We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. To learn more about our DE&I initiatives, please visit: ************************************************************ Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data. We consider data privacy a priority. For further information, please view our company privacy policy.

Factspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors. Job Description Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations. Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi Requires a diversified technical person who can setup environments on AWS and integrate different pieces of solution. Develop data pipelines to integrate different data sources Experienced in using Google, Amazon NLP APIs to parse data and analyse output Experienced in using Amazon dockers to develop and deploy the solution Proficient in JAVA & Python programming Understanding of topic modelling, supervised & unsupervised machine learning Plan the project milestones, resourcing and work distribution Execute project in a timely manager, analyse risks and mitigate them Able to lead a technical team of data scientist and engineers Communicate the project progress, challenges, results and next action items to stake holders Qualifications 3-8 years of experience Bachelor's/Master's Degree in Engineering, Statistics, Mathematics Excellent hands-on working knowledge in R, Python, advanced predictive modelling, SQL, AWS Additional Information All your information will be kept confidential according to EEO guidelines.