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Job Description About Volant Partners Volant Partners provides business and engineering consulting services to companies across the United States. We thrive by solving complex problems with a focus on regulated industries. We best serve our customers by attracting and retaining the very best consultants. Consequently, we have structured ourselves as an employee-owned company. Volant Partners was founded in 2021 and is headquartered in Seattle, Washington. Job Description Volant Partners, Inc is seeking an Advisory Systems Engineer with a strong systems engineering and electrical engineering background to assist our clients with the development and deployment of their products and hardware. Responsibilities will vary, but the selected candidate will contribute to areas such as authoring and updating certification documentation and verifying requirements traceability among various electrical diagrams and schematics. Successful candidates will use their deep knowledge in systems engineering combined with their experience in electrical engineering to successfully manage complex projects and drive results. We are looking for self-starters and decision makers that are comfortable in new situations where success is dependent on quickly understanding client challenges and addressing them. This individual must have excellent communication skills (written, verbal, and presentation) and be able to communicate effectively with different engineering disciplines, project and client leadership. This position will be onsite so we are only seeking candidates in the greater Seattle area or candidates who are willing to relocate to the Seattle area. Typical Responsibilities • Author technical specifications, • Author and modify existing certification documentation, • Review, understand, and assess schematics to ensure that design align with requirements., • Identify any gaps between the schematics and the certification documentation, • Requirement elicitation, decomposition, • Requirement allocation and tracking, • Bachelor’s or Master’s degree in engineering, mathematics, electrical, computer science or related technical course of study, • Minimum of 10+ years of engineering or consulting experience, • A consultative mindset and strong communication skills (verbal, written, and presentations) to work directly with client multidisciplinary teams to solve problems and advance client’s objectives, • Proven systems engineering and problem-solving skills in an integrated team environment, • Proven track record of managing time and resources to meet deadlines, • Ability to define and interpret high level requirements and trace these requirements to product electrical schematics and diagrams., • Skills in requirement verification activities., • Ability to make decisions and execute to the plan, • Experience with requirements development, management and traceability, • Specialized knowledge of electrical engineering and how it relates to systems engineering, • Experience developing and decomposing system and subsystem requirements, • Ability to earn the trust of clients and influence leadership and key technical resources, • Maintains positive and professional relationships and promotes an environment of teaming and collaboration in a diverse work environment, • Available to be onsite at client facilities as needed, • Experience working in regulated industries such as defense or aviation, • Experience working in a consulting or engineering services company, • Experience with product development life cycle, • Experience using industry leading requirements management tools (DOORS Classic/DNG, JAMA etc.), • Experience using Confluence and JIRA EEO is The Law EEO is The Law - Supplement Know your Rights Poster Pay Transparency - Nondiscrimination Powered by JazzHR KPTy9nA2WA

Job DescriptionAbout usToday’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office! The roleWe’re adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business—as well as our users' happiness and success. Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more. The teamWe're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice. The tech stackOur backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.What you'll do • Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources, • Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc., • Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance, • Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products, • Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth, • Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at GridWhat we're looking for:, • Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science., • Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models., • Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields., • Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential., • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products., • Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it., • Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest)., • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.

Job DescriptionAbout OmnidianOmnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries. Omnidian is building a more sustainable future for the planet through our passionate teams, our innovative technology, and by creating an amazing customer experience. We are headquartered in Seattle, WA The JobWe are seeking a seasoned and strategic Director of Data Science to join our technology team. This is a unique opportunity to lead a small, high-impact team at the heart of our mission. This role isn't about research for its own sake; it's about building and operationalizing data science technology that will become a working, indispensable part of our day-to-day operations. You will directly influence our product, our service delivery, and our ability to accelerate clean energy adoption. If you are passionate about applying data science to solve real-world problems and want to lead a team that will have a strong, measurable impact on the future of our company, this is the role for you. What You'll Do • At Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you’ll be doing:Team Leadership & Strategy (40%), • Lead, mentor, and grow a high-performing team of data scientists and ML engineers, • Foster a culture of innovation, collaboration, and rapid delivery, • Develop and execute the data science roadmap and strategy, aligned with company goals, • Set clear priorities and measure impact against KPIsOperationalizing Data Science (35%), • Integrate predictive and prescriptive analytics into core technology and processes, • Architect and oversee scalable, production-ready data pipelines and ML models, • Collaborate with Engineering, Product, and Operations to prioritize and execute high-value opportunitiesIndustry Influence & Thought Leadership (25%), • Serve as a subject matter expert in renewable energy data science, • Represent Omnidian at industry events, conferences, and with key stakeholders, • Advocate for best practices in data science and ML deployment, • Engage directly with clients to understand needs, present insights, and demonstrate valueWho You Are, • Strategic Leadership – Guides team vision while delivering measurable results, • Technical Excellence – Deep expertise in ML, statistical modeling, and experimentation, • Cross-Functional Collaboration – Communicates effectively across technical and non-technical teams, • Execution Focus – Turns strategy into scalable, operational solutions, • Mission-Driven Mindset – Passionate about clean energy and sustainabilityExperience You’ll Need, • Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent practical experience; advanced degree is a plus., • 7+ years of experience in data science, with a proven track record of building and deploying models in a production environment, • 4+ years of experience in data science leadership, building and managing data science teams, • Proven experience building and scaling data science teams from the ground up, • Deep expertise in machine learning, statistical modeling, and experimental design., • Strong programming skills in Python and expertise with a relevant data science stacks (e.g., pandas, etc)., • Experience with cloud platforms (e.g., AWS, GCP) and big data technologies (e.g., Apache Spark)., • Exceptional communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders., • Passion for clean energy and a strong desire to contribute to a mission-driven company.Work-life and Culture, • Most of our roles offer the opportunity to work remotely, • If you are in the Seattle area, we offer a vibrant office space in the historic and beautiful Smith Tower, in the heart of Pioneer Square, • We prioritize applicants near one of our employee clusters and offer one or more local gatherings per year, • We provide outstanding benefits including family medical, dental, vision, disability, 401(k) administration and $1k match per year and thoughtful paid time off, • We offer 12 weeks of paid parental leave to all FTE employees (birthing and non-birthing) after 1 year, and four-week paid sabbatical leave after four years, • We offer a competitive total compensation package that includes monthly health insurance premiums, bonuses and long-term stock options for every employee, • We love to lift each other up through company-wide slack channels such as #puppiesandpets, #omnidian-wellness, #praiseandbooms and #sustainablefuture, • We have affinity groups to help employees feel seen and supported, such as Rainbow Array, BIPOC, Thriving Survivors, Vets at Omnidian, Black Lights Matter and Neurospicy R Us, • We are a passionate, mission driven team that believes in collaboration, mutual respect and trust. For examples, come Discover our Story!Grow With Us, • We mentor and invest in our employees and prioritize them for future opportunities. Check out our Instagram reels to see a few career journey examples, • Internal candidates: Check out our advice on Internal Transfer: Job Application Process, • Here are the next roles in this career track:, • Senior Director, Data Science, • Vice President, Data Science

Job Description Under general supervision and reporting to the Senior Director of Quality Operations, The Quality Engineer is responsible for executing and expanding on key initiatives inside of the supplier quality organization, including the execution of various supplier quality engineering related activities such as Compliance, Process and Product Audits, MRB, FAI Witnessing, Review and Sign off, Problem Solving, Corrective and Preventive Actions, Supplier Performance Reporting and other Quality Improvement Activities. Job Responsibilities: • Conducts activities to modify, apply, and maintain quality evaluation, control systems and protocol, • Provides explanations of testing and inspection plans, methods and/or technologies to assure reliability and conformance of products and processes, • Provides analysis and develops recommendations for corrective actions for nonconformities and/or design problems for internally produced products and processes, • Utilizes PPAP core elements (e.g., PFMEA, MSA, Process Flow and Control Plans, etc.) to identify risk in product development and propose risk management solutions, • Provides reviews and ensure requirements are met for work transfer and process change management, • including Resourcing Gate and Production Part Approval Process (PPAP) acceptance, • Reviews process control documentation to ensure it is in compliance with requirements, objectives, and/or contracts, • Develops, modifies, applies, and maintains quality evaluation, control systems and protocols for materials being processed into partially finished or finished products, • Working with product design and specification, devises testing plans, methods, and equipment to assure reliability of product. Collaborates internally to ensure quality standards are in effect, • Develops proactive quality initiative strategies and drives their implementation, • Designs and implements product engineering changes to satisfy quality issues raised by customers, • Responsible for both Program and Product Quality Engineering, • Responsible for development of new inspection technologies or methodologies to assure product conformance, • Strong verbal, written and communication skills, • Project management, time management, problem solving and organization, • Fluent English – reading and writing is required, • Professionalism, integrity, and exceptional attention to detail, • Strong independent decision-making skills; excellent analytical skills and professional judgment, • Establish and maintain effective working relationships, • Fluent English – reading and writing is required, • Pass pre-hire background check including DMV and credit screening, • FAA, EAR, and ITAR standards and regulations, • Engineering Processes, Standard Drawings Conventions, Interpreting Drawing, Specifications, and GD&T, • MS OfficeAdditional requirements, • Bachelor’s degree and 2 years of prior relevant experience OR, in absence of a degree, 6 years of relevant experience required, • Engineering/other technical positions: Bachelor’s degree (typically in Science, Technology,, • Engineering or Mathematics, and a minimum of 2 years of prior relevant experience, • Must be a U.S. citizen BENEFITS: • 12 days paid vacation first year, increasing with service years, • 10 days paid sick time, • 11 paid holidays, • Healthcare insurance available: Medical, dental, vision, STD, LTD, critical illness, life insurance for self and dependents, • Champ Plan Wellness and Health, • Free to employees working minimum 20 hours/week with anticipated $30k/annual earnings, • Participation increases net take home pay $$$ in most instances, • Free wellness initiatives, • Free tele-health, • Free and discounted RX, • Auto enrollment (unless tax elections result in negative impact), • Eligible on the 1st of the month following 30 days of continuous employment, • requires monthly 10-minute wellness activity participation, • 401k retirement savings with match, • Eligible on the first (1st) of the month following 90 days of continuous employment, • 100% match of 1st 3% contribution, • 50% match of next 2% contribution, • IMMEDIATE VESTING, • Company-provided cell phone, laptop, mobile wi-fi (for business use only), • Regular Hourly rate for travel time, • Direct Pay Travel arrangements for flights, hotels and rental cars, • Travel Reimbursements direct deposited with each payroll, • Federal rate Mileage reimbursement (.70/mile 2025) when driving personal vehicles on company business, • Per diem reimbursements for meals and incidentals, • Overnight trips - Up to $75, • Leaving home after 4 pm $40, • Federal rate mileage reimbursement (.70/mile 2025) when driving personal vehicles on company business, • Direct Pay Travel arrangements for flights, hotels and rental cars, • Travel Reimbursements direct deposited with each payroll, • Per diem reimbursements for meals and incidentals, • Overnight trips - Up to $75, • Leaving home after 4 pm $40, • $1500 EMPLOYEE REFERRAL BONUS, • Initial $750 paid upon hire of qualified referred employee (rehires excluded) $33.00-$55.00 per hour eligible for overtime, please note that the salary information is a general guideline only. Trigo ADR considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. Company Overview TRIGO ADR Americas is the leader in the Aerospace & Defense Industry providing global Supplier Delivery Assurance, Supplier Development and Quality Management Services. Trigo provides a fully integrated service solution to optimize Supplier performance through an embedded “boots on the ground” business model to drive systemic changes that enhance Supplier Quality and Supplier Delivery performance. We work as an extension of our customers to build and maintain supplier and customer collaboration to ensure improved results and provide visibility throughout the supply chain. Trigo’s team of dedicated Delivery Assurance Specialists, Supplier Development Specialists, Supplier Quality Engineers and Program Managers support hundreds of Customers and are deployed to thousands of Suppliers worldwide focused on achieving On-Time and On-Quality Delivery results. TRIGO ADR Americas is an Equal Opportunity Employer, including disabled and veterans, and may require US Citizenship for employment on certain defense contracts subject to ITAR restrictions. All qualified candidates will receive consideration. Except where otherwise provided by law, selection will be made without regard to, and there will be no discrimination because of race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, age, sexual orientation, gender identity, genetic information, membership or non-membership in an employee organization, or on the basis of personal favoritism or other non-merit factors. . 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Job DescriptionWho We Are: Across North America and all over the world, Mathnasium Learning Centers are committed to teaching children math so that they understand it, master it, and love it. Our world-class curriculum is built upon the Mathnasium Method the result of decades of hands-on instruction and development and has changed the lives of children since 2002. Why Work with Us: At Mathnasium, were passionate about both our students and our employees! We set ourselves apart by providing instructors with: • A rewarding opportunity to transform the lives of KG-12th grade students, • Consistent, but flexible part-time hours after school and on weekends, • A fun, supportive, and encouraging work culture, • Opportunities for advancement, • Continuous training on effective teaching methodologies Job Responsibilities: • Teach/tutor in-center, online, and/or via hybrid delivery using the Mathnasium Method, terminology, and teaching practices, • Work collaboratively with team members to deliver individualized instruction in a group setting, • Assess students learning progress and engagement throughout instructional sessions, • Become proficient with digital educational materials and processes, • Passion for math and working with students, • Excellent interpersonal skills, • Eagerness to learn and be trained, • Ability to balance various ongoing tasks, • Ability to teach effectively through at least Pre-calculus (Calculus I preferred), • Minimum Bachelor's in a related field (Education, Mathematics, or Math-heavy degree), • 3+ years experience working in a tutoring/teaching role, • Experience mentoring/training junior team members All applicants will be required to take a math literacy test to demonstrate math proficiency, provide work authorization, and pass a background check.

Job DescriptionSalary: $68,993 - $73,226.66 annually ANEW is a nonprofit organization with a mission of building people, building communities. Founded in 1980, ANEW has a unique and successful reputation for assisting underserved populations into apprenticeship and family wage careers. ANEW is focused on changing the culture and demographics of industries that have historically not been diverse or inclusive. POSITION TITLE: Program Coordinator Reporting to the Senior Program Manager of the Career Exploration department, the Program Coordinator will be responsible for construction boot camps targeted toward youth ages 14-21 in order to explore construction career pathways. The Career Exploration Department consists of two main programs. One program serves students who have an IEP, a 504 plan, or any disability, while the second program focuses on students aged 14-21 who are currently incarcerated and are in juvenile institutions. The goal of the youth exploration program is to introduce construction career pathways to in-school youth. While the goal of the TEPA program is to provide students with a pathway to employment through nontraditional post-secondary education opportunities, primarily in the construction trades. In both programs, the program coordinator will facilitate a pre-apprenticeship boot camp that aim to introduce students to trade pathways and develop essential work-readiness skills, including professional development, financial literacy, emotional intelligence, and self-advocacy. A successful candidate will possess strong interpersonal communication skills, be committed to working with diverse populations, and lead with compassion. This position aligns with ANEW's values of fair and culturally competent service delivery, innovation, efficient resource application, and fostering a culture of performance. ESSENTIAL FUNCTIONS: Commitment to ANEWs mission, vision, and values. Maintain and use program-based computerized systems, write, and review reports, and maintain accurate records. Lead students through essential skills for the workplace training, and job readiness curriculum. Provide comprehensive project support which includes meeting and event planning, tracking activities to timelines, data entry and support, and assisting in the management of multiple concurrent projects. Provide excellent customer service as needed. Develop and maintain efficient communication processes. Work collaboratively/cooperatively with others on the team and individuals across the organization to develop positive working relationships with co-workers, contract managers, and the students/families served. Instruction: Provide instruction to students individually or in small groups in a variety of learning activities; promote student understanding of materials presented. Reinforce and reviews concepts and skills. Adjust tasks to suit the needs of students. Demonstrate the correct and practical applications with a variety of construction hand and power tools used in the construction trade industry. Maintain student records, including attendance, graphs data, compliance in grading information, scoring, Etc., and prepare students progress information. Ensure safety practices are being taught, understood, adhered to, and observed. Teach basic mathematics concepts applicable to the construction trades Program Planning: Collaborate with Regional Transition Consultants, schools, and community-based organizations to identify students who have an IEP, a 504 plan, or a documented disability. Collaborate with DCYF/JR employees to continue programming in JR facilities. Coordinate activities customized to the individual students needs, considering the students skills, abilities, preferences, and interests. Prepare written program reports for internal management and funders. Conduct and track student enrollment and outreach services. Develop and maintain a program evaluation framework to assess the strengths of the program and to identify areas for improvement. Develop educational activities that include workplace readiness, self-advocacy, and job exploration relating to apprenticeship pathways and opportunities. Program Leadership: Successfully execute the Youth Exploration Program, related activities, and workplace readiness in accordance with ANEWs mission and contract deliverables. Present to a variety of audiences to educate them on the Youth Exploration Programs. Plan Youth Exploration Curriculum. Deliver curriculum and supervise student participants during Exploration workshops. Perform other duties as assigned. Physical Requirements and Work Environment MINIMUM / REQUIRED QUALIFICATIONS: 4+ years of experience working in Program Coordination, specifically in workforce development, education, or support services required. Bachelors degree in Education, Human Services, Youth Development, Social Work, or related field highly preferred. Experience managing classrooms or groups of young people with IEP, 504 plans, and students with documented disabilities. Experience providing employment navigation for young adults. This includes identifying and reducing barriers that prevent successful job placement. Experience working with incarcerated youth preferred, but not required. A passion for serving incarcerated youth. Experience working with people in an educational environment including school administration, staff, parents, and others. Commitment to DEI values and understanding of equity and social justice principles and how they can be applied internally and in the field. Instruction: Ability to effectively engage in and sustain relationships with people from diverse cultures and socio-economic backgrounds. Ability to assess and resolve situations using a flexible approach. Ability to consistently maintain professional composure and tact, patience, and courtesy. Skill in developing and maintaining an effective, collaborative, and positive staff environment. Must be detail oriented and able to complete multiple tasks accurately and in a timely manner. Proficiency or ability to learn business software applications including Microsoft Window, Microsoft 365 (Word, Excel, Outlook, PowerPoint, etc.). Comfort with learning new digital technologies and engaging with colleagues on efforts to improve internal systems and practices. Strong oral and written communications skills. Demonstrated experience researching, compiling, analyzing, and reviewing reports. Skill in synthesizing a variety of information. Experience writing progress and project updates. Flexibility and adaptability in working with a growing non-profit. Strong communication and administrative skills with a proven track record of managing multiple projects. Experience in working with collaborative partnerships. Ability to safely and legally operate a large passenger van, and/or other company passenger vehicles. Conditions of Employment/Requirements • Criminal background screening through WA DSHS background checking system, • Ability to work flexible schedule to include evening and or weekends WORK LOCATION: ANEW Tukwila Training Center and Satellite locations as assigned. This position is 100% in-person without the option of remote work. WORK SCHEDULE: This is a full-time, exempt position. Regular workweek is 40 hours, Monday through Friday 8am-4pm. Occasional evenings, weekends, and travel may be required. WORK LOCATION: Tukwila WA, and other Satellite locations as communicated. This position is classified as at-will, meaning either the employee or the employer may terminate the employment relationship at any time, with or without cause or advanced notice SALARY: This position is a paid exempt position with a salary range of $68,993.00 - $73,226.66 per year. BENEFITS The person in this position is expected to serve a 90-day probation period. Benefits will not be included until and unless the position is made permanent, which is contingent upon performance evaluation, funding, board direction, and potential re-development of the organization and its training/service delivery models. If the position is more than 30/hours per week, employer paid medical benefits will include medical, dental, and vision benefits. A portion of the medical premium is made by the employee through a pre-tax contribution at time of payroll posting. Employees at 30/hours a week or greater qualify for full benefits and pay a pre-tax contribution of $80 per month. Additional employer paid benefits include basic life insurance, vacation, sick leave, holiday pay. ANEW also contributes a 4% match to a 401k after one year of employment. ANEW Employees will not be permitted to use paid vacation or sick leave until successful completion of their 90-day probationary period. APPLICATION PROCESS: The final applicant will be selected by way of a competitive process which will include interviewing and professional reference checks. Please apply online at to be considered for this role. ANEW is committed to being accessible to all. For accommodation applying, please email

Job DescriptionDescription: The Dobbs Truck Group is a growth company that successfully expands our operations and customer base through a high-quality team of employees. As the parent company of Dobbs Peterbilt and Western Truck Center, Dobbs Truck Group has locations in Arkansas, California, Louisiana, Mississippi, Oregon, Tennessee, and Washington. We are full-service and authorized Peterbilt, Volvo, Mack, Autocar, and Hino dealerships, representing well-known OEM’s in the industry. In the Pacific Northwest, we operate the largest network of Class 8 and Medium Duty truck dealerships representing both Peterbilt and Volvo/Mack. We offer a competitive benefits package including medical, dental, vision, long-term disability, life insurance, and 401(k), as well as paid vacation and sick leave. Our Company is looking for long-term employees that we can invest in and grow with as we pursue our mission of being the premier commercial truck dealer group. I. General Job Description This position is responsible for the diagnosis and repair of all vehicles and equipment serviced by the Company’s facilities. Service Technicians are expected to perform with the highest degree of professional competence as it relates to quality of work, product knowledge, and customer service. The duties listed below are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position. II. Minimum Job Qualifications • 18 years of age., • High school graduate or GED, • Minimum tool requirements (see below)., • High school graduate or GED, • Minimum of 4 years of direct mechanic experience on heavy trucks or equipment, • Ability to perform vehicle lubrication systems and D.O.T. safety inspections., • Comprehension: Ability to understand complex problems, collaborate, and explore alternative solutions., • Organization: Ability to organize thoughts and ideas into understandable terminology., • Reasoning & Decision Making: Ability to make decisions with moderate impact on immediate work unit., • Communication: Ability to use and complete routine forms and/or conduct routine oral communication. The physical demands and work environment characteristics described here are representative of those that must be met by an 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. While performing the duties of this job, the employee is regularly required to use hands to handle or feel, reach with hands and arms, and talk or hear. The employee is frequently required to stand, walk, climb or balance, stoop, kneel, crouch or crawl, and taste or smell. The employee is occasionally required to sit. The employee must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds, and occasionally lift and/or move up to 65 pounds. Specific vision abilities required by this job include color vision, peripheral vision, depth perception, and the ability to adjust focus. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts and risk of electrical shock. The employee is frequently exposed to wet and/or humid conditions, extreme heat, and vibration. The employee is occasionally exposed to high, precarious places, fumes or airborne particles, toxic or caustic chemicals, and outside weather conditions. The noise level is normally loud. VI. Common Expectations of Performance for all Employees The following includes common expectations for all employees of the Company. The evaluation of job performance will be based on these common expectations as well as the position-specific responsibilities described above. Communications, Teamwork, and Feedback to Others • Contribute to a work environment that is based on trust and respect., • Have discussions on a regular basis with their manager to discuss opportunities to best achieve individual performance objectives and departmental goals., • Suggest ways to improve the efficiency of conducting their job duties., • Promote continuous improvement and change to support company growth., • Mentor others unselfishly., • Adhere to the policies contained in the Employee Handbook., • Adhere to the Company’s Employee Conduct Policy., • Support management decisions toward meeting company goals., • Be open and receptive to new ideas, regardless of their origin. The Dobbs Truck Group and its wholly owned subsidiaries, Dobbs Peterbilt, LLC and Western Truck Parts and Equipment Company, LLC (WTPE), operate 23 Peterbilt, Volvo, Mack, and Hino truck dealerships in the states of Arkansas, California, Louisiana, Mississippi, Oregon, Tennessee, and Washington. Dobbs Peterbilt and Western Truck Parts are equal opportunity employers that values a broad diversity of talent, knowledge, experience, and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. Dobbs Peterbilt and Western Truck Parts do not discriminate in hiring or employment on the basis of race, color, religious creed, national origin, sex, ancestry, pregnancy, genetic information, gender identity, sexual orientation, or marital status; or on the basis of age against persons whose age is 40 and over, or on the basis of physical or mental disability; or to disabled veterans or to Vietnam veterans. We are proud to be an affirmative action employer and encourage minorities, women, individuals with disabilities, and veterans to join our team. Requirements:

Job DescriptionDescription: The Dobbs Truck Group is a growth company that successfully expands our operations and customer base through a high-quality team of employees. Dobbs Truck Group operates 25 commercial truck dealerships through two operating companies – Dobbs Peterbilt and Western Truck Center. These dealerships represent some of the best commercial truck brands including Peterbilt, Volvo, Mack, Autocar, and Hino and include locations in Arkansas, California, Louisiana, Mississippi, Oregon, Tennessee, and Washington. We offer a competitive benefits package including medical, dental, vision, long-term disability, life insurance, and 401(k), as well as paid vacation and sick leave. Our Company is looking for long-term employees that we can invest in and grow with as we pursue our mission of being the premier commercial truck dealer group. I. General Job Description This position is responsible for learning the diagnosis and repair of all vehicles and equipment serviced by the Company’s facilities. Apprentice Service Technicians are expected to learn how to perform with professional competence as it relates to quality of work, product knowledge, and customer service. This position is an entry-level position, intended to introduce employees to the demands and responsibilities of a Service Technician 1. This position will be evaluated on the ability to quickly learn and master the duties and responsibilities of a Service Technician within 1-2 years. The duties listed below are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position. Responsibilities Level One • Lube Technician, • Helper and intermediary, • Engines – Quick Service, • Belts/hoses, • Simple electrical, • Radiator flushing/servicing, • Transmission and Differential, • Adjust clutch (internal and external), • Seal replacement (wheels differential and transmission), • U-joint/drivetrain, • Brakes and Axles, • Basic understanding of air systems, • Replace brake shoes and drums., • Wheel seal replacement, • R&R brake valves (QC, relay, etc.), • Brake adjustments., • Electrical, • Service and R&R batteries., • Load test and replace alternators., • Light repairs, R&R assemblies and bulbs, simple wiring, • Load test starter and R&R, • Chassis and Suspension, • Replace shocks., • Inspect components and report findings., • Administrative Responsibilities, • Follow shop policies and procedures., • Report directly to supervisor 70-90% of the time., • Typing detailed stories on repairs performed, • 18 years of age., • High school graduate or GED, • Minimum tool requirements (see below)., • High school graduate or GED, • Minimum of 2 years of direct mechanic experience on heavy trucks or equipment, • Ability to perform vehicle lubrication systems and D.O.T. safety inspections., • Comprehension: Ability to understand complex problems, collaborate, and explore alternative solutions., • Organization: Ability to organize thoughts and ideas into understandable terminology., • Reasoning & Decision Making: Ability to make decisions with moderate impact on immediate work unit., • Communication: Ability to use and complete routine forms and/or conduct routine oral communication. The physical demands and work environment characteristics described here are representative of those that must be met by an 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. While performing the duties of this job, the employee is regularly required to use hands to handle or feel, reach with hands and arms, and talk or hear. The employee is frequently required to stand, walk, climb or balance, stoop, kneel, crouch or crawl, and taste or smell. The employee is occasionally required to sit. The employee must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds, and occasionally lift and/or move up to 65 pounds. Specific vision abilities required by this job include color vision, peripheral vision, depth perception, and the ability to adjust focus. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts and risk of electrical shock. The employee is frequently exposed to wet and/or humid conditions, extreme heat, and vibration. The employee is occasionally exposed to high, precarious places, fumes or airborne particles, toxic or caustic chemicals, and outside weather conditions. The noise level is normally loud. VI. Common Expectations of Performance for all Employees The following includes common expectations for all employees of the Company. The evaluation of job performance will be based on these common expectations as well as the position-specific responsibilities described above. Communications, Teamwork, and Feedback to Others • Contribute to a work environment that is based on trust and respect., • Have discussions on a regular basis with their manager to discuss opportunities to best achieve individual performance objectives and departmental goals., • Suggest ways to improve the efficiency of conducting their job duties., • Promote continuous improvement and change to support company growth., • Mentor others unselfishly., • Adhere to the policies contained in the Employee Handbook., • Adhere to the Company’s Employee Conduct Policy., • Support management decisions toward meeting company goals., • Be open and receptive to new ideas, regardless of their origin. Dobbs Truck Group operates 23 commercial truck dealerships through two operating companies – Dobbs Peterbilt and Western Truck Center. Dobbs Peterbilt and Western Truck Center are equal opportunity employers that values a broad diversity of talent, knowledge, experience, and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. Dobbs Peterbilt and Western Truck Parts do not discriminate in hiring or employment on the basis of race, color, religious creed, national origin, sex, ancestry, pregnancy, genetic information, gender identity, sexual orientation, or marital status; or on the basis of age against persons whose age is 40 and over, or on the basis of physical or mental disability; or to disabled veterans or to Vietnam veterans. We are proud to be an affirmative action employer and encourage minorities, women, individuals with disabilities, and veterans to join our team. Requirements:

Job DescriptionDescription: The Dobbs Truck Group is a growth company that successfully expands our operations and customer base through a high-quality team of employees. Dobbs Truck Group operates 25 commercial truck dealerships through two operating companies – Dobbs Peterbilt and Western Truck Center. These dealerships represent some of the best commercial truck brands including Peterbilt, Volvo, Mack, Autocar, and Hino and include locations in Arkansas, California, Louisiana, Mississippi, Oregon, Tennessee, and Washington. We offer a competitive benefits package including medical, dental, vision, long-term disability, life insurance, and 401(k), as well as paid vacation and sick leave. Our Company is looking for long-term employees that we can invest in and grow with as we pursue our mission of being the premier commercial truck dealer group. I. General Job Description This position will be responsible for the maintenance and repair on all types of commercial trucks and equipment while working out of the fully equipped mobile service truck. This position will be responsible for the diagnosis and repair of all vehicles and equipment serviced by the Company’s facilities. This position will be expected to perform with the highest degree of professional competence, as it relates to quality of work, product knowledge, and customer service. The duties listed below are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position. Responsibilities • Complete repairs in estimated time per industry standards., • Grow and maintain the customer base, • Perform DOT inspection, troubleshooting, and repair on all areas of a vehicle including electrical, charging systems, starting systems, engine, HVAC, powertrain, and chassis components., • Repairs include diagnosis and removal of injectors, cylinder heads, camshafts, main bearings, rod bearings, and transmission/clutch components., • Utilize various diagnostic equipment, software, and technical publications/information to determine root cause of customer complaint and repair solution., • Maintain service truck, supplied tooling, and parts inventory to Company’s expectation., • Provide thorough documentation that supports complaint, cause, and correction., • Perform preventative maintenance when requested., • Respond promptly to customer requests and foster customer relationships., • Report to customer and service administration on any deferred repairs., • 18 years of age., • 4 years of dealer experience as a Diesel/Service Technician., • Valid Commercial Driver’s License and a qualified MVR abstract., • High school graduate or GED with 5 years of experience in a truck dealership or equivalent experience., • Ability to work independently with minimal supervision., • Comprehension: Ability to understand complex problems, collaborate, and explore alternative solutions., • Organization: Ability to organize and prioritize work schedule on short-term basis (more than 1 month)., • Reasoning & Decision Making: Ability to make decisions with moderate impact on immediate work unit., • Communication: Ability to communicate effectively with individuals utilizing a phone. The physical demands and work environment characteristics described here are representative of those that must be met by an 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. While performing the duties of this job, the employee is regularly required to use hands to handle or feel, reach with hands and arms, and talk or hear. The employee is frequently required to stand, walk, climb or balance, stoop, kneel, crouch or crawl, and taste or smell. The employee is occasionally required to sit. The employee must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds, and occasionally lift and/or move up to 65 pounds. Specific vision abilities required by this job include color vision, peripheral vision, depth perception, and the ability to adjust focus. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts and risk of electrical shock. The employee is frequently exposed to wet and/or humid conditions, extreme heat, and vibration. The employee is occasionally exposed to high, precarious places, fumes or airborne particles, toxic or caustic chemicals, and outside weather conditions. The noise level is normally loud. VI. Common Expectations of Performance for all Employees The following includes common expectations for all employees of the Company. The evaluation of job performance will be based on these common expectations as well as the position-specific responsibilities described above. Communications, Teamwork, and Feedback to Others • Contribute to a work environment that is based on trust and respect., • Have discussions on a regular basis with their manager to discuss opportunities to best achieve individual performance objectives and departmental goals., • Suggest ways to improve the efficiency of conducting their job duties., • Promote continuous improvement and change to support company growth., • Mentor others unselfishly., • Adhere to the policies contained in the Employee Handbook., • Adhere to the Company’s Employee Conduct Policy., • Support management decisions toward meeting company goals., • Be open and receptive to new ideas, regardless of their origin. Dobbs Truck Group operates 25 commercial truck dealerships through two operating companies – Dobbs Peterbilt and Western Truck Center. Dobbs Peterbilt and Western Truck Center are equal opportunity employers that values a broad diversity of talent, knowledge, experience, and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. Dobbs Peterbilt and Western Truck Parts do not discriminate in hiring or employment on the basis of race, color, religious creed, national origin, sex, ancestry, pregnancy, genetic information, gender identity, sexual orientation, or marital status; or on the basis of age against persons whose age is 40 and over, or on the basis of physical or mental disability; or to disabled veterans or to Vietnam veterans. We are proud to be an affirmative action employer and encourage minorities, women, individuals with disabilities, and veterans to join our team. Requirements:

Job Description Location: Bellevue, WA Job Type: Part-Time (15-20 hours/week) Hire Date: As soon as possible Requirement: Available to conduct classes during weekday evenings and weekends. About Think Academy: Think Academy US (), a 100% owned subsidiary of TAL Education Group (NYSE: TAL), is a recently established education technology (Ed-Tech) company providing K-12 extra-curricular learning services in science and technology. At Think Academy, we provide full cycle services to foster children's ability to think critically, strengthen their logic skills, and help them fulfill their goals through innovative teaching techniques. We believe Love and Technology can make education better. Whom we are looking for: Think Academy U.S. is looking for Part-Time Onsite Math Teacher. Content Teachers are expected to understand math concepts, prepare classes based on Think Academy's curriculum, Deliver engaging and age-appropriate math lessons, explaining concepts, demonstrating problem-solving techniques, and using various teaching methods to meet the diverse needs of students. What You Will Do: • Teach mathematics to students from Pre-K through Middle school, • Actively engage and manage a classroom of up to 16 students, • Prepare and deliver lessons using Think Academy's curriculum and teaching guidance, • Grade homework and provide other essential teaching-related services, • Communicate effectively with students and parents, offering timely and personalized feedback, • Bachelor's degree or above, all majors are welcome as long as you're passionate in kids and math teaching; Education, or STEM-related majors are preferred, • You are still eligible to apply if you are still pursuing or in progress of obtaining a Bachelor's degree, • Prior math teaching experiences is not required, but a big plus, • Super passionate about teaching and education industry, with a mission to provide better education to promote social development., • Excellent communication and interpersonal skills, • Highly responsible and love to get along with kids, • Can commit to at least one whole semester of teaching (Spring semester: Jan - May; Summer: June - Aug; Fall semester: Aug - Dec), • $40/hr (Teaching Fee) + $20/hr (Non-Teaching Fee), • Teachers will be assigned 2-4 classes per week

Job DescriptionAbout Us Adora is a rapidly growing Seattle-based SaaS company developing an innovative platform in the trillion-dollar digital advertising industry. Our platform is set to transform the landscape through cutting-edge technology and AI-driven solutions. We're currently in stealth mode and look forward to sharing more about our mission and products during the interview. The Role As a Senior ML Engineer specializing in Advertising Intelligence, you will lead the development of our machine learning systems that extract insights from vast amounts of advertising data. You'll build models that identify patterns, predict outcomes, and generate recommendations that help our clients maximize their advertising ROI. This role sits at the intersection of machine learning engineering and advertising domain expertise, requiring both technical depth and business acumen. You'll work closely with our data engineering and product teams to translate business problems into ML solutions, rapidly prototype and test new approaches, and scale successful models to production. This is an opportunity to shape how AI and ML transform the advertising industry.Key Responsibilities • Design, develop, and deploy machine learning models that extract actionable insights from advertising performance data, • Build and optimize systems that leverage LLMs to generate natural language explanations of advertising trends and recommendations, • Create clustering and classification models to segment audiences, campaigns, and creative assets based on performance characteristics, • Develop predictive models for forecasting and optimizing ad performance, budget pacing, and ROI, • Collaborate with other engineers to design efficient data pipelines that feed our ML systems, • Work with product managers to translate customer needs into ML-powered featuresRequirements, • 5+ years of experience in applied machine learning, • Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn, • Proven experience building and deploying ML models in production environments, • Hands-on experience with various ML techniques including classification, regression, clustering, and time series analysis, • Solid understanding of statistical analysis and experimental design, • Familiarity with LLMs and their application in business intelligence use cases, • Experience with data visualization and BI tools to communicate ML insights, • Strong software engineering practices including version control, testing, and CI/CDExcellent communication skills to explain complex ML concepts to non-technical stakeholders, • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (advanced degree preferred)Preferred Qualifications, • Experience working with advertising data or in AdTech companies, • Knowledge of major advertising platforms (Meta, Google Ads, Amazon, TikTok) and their metrics, • Experience with recommendation systems and personalization algorithms, • Familiarity with marketing attribution models and customer journey analytics, • Hands-on experience fine-tuning and prompting LLMs for specific business domains, • Experience working with large datasets and distributed computing frameworks (e.g., Spark), • Experience with MLOps tools and practices for model monitoring and management, • Knowledge of privacy-preserving ML techniques and regulations related to digital advertising (GDPR, CCPA)What We Offer, • Competitive salary, stock, and benefits package, • Opportunity to shape the ML strategy of a growing startup from the ground up, • Work on challenging problems at the intersection of machine learning and digital advertising, • A collaborative, inclusive, and dynamic work environment in a high-growth start-up, • Work with a set of industry veterans that have 15+ years experience from early start-ups to the biggest tech companies, • Regular opportunities to learn and grow through tech talks, conferences, and continued education

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role You will be the analytical powerhouse behind our marketing initiatives, working end-to-end from data exploration to model deployment. Your work will directly influence how we invest in marketing channels, personalize user engagement, and measure ROI at scale. In this role, you will: * Design, analyze, and interpret experiments to optimize marketing performance across channels (paid media, lifecycle marketing, influencer partnerships, etc.) * Build and maintain attribution models to better understand customer journeys and channel impact. * Develop forecasting and optimization tools to allocate budget efficiently and predict campaign performance. * Partner with marketing, product, and engineering teams to create data-driven strategies for audience segmentation and personalized messaging. * Establish scalable measurement frameworks for new marketing channels and campaigns. * Present actionable insights and recommendations to executive leadership in a clear, compelling narrative. Team members in this role are required to be within commuting distance of our New York City, Los Angeles, Seattle, and San Francisco hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Data Scientist, Marketing, you should have: * 4+ years of experience in data science, analytics, or applied statistics, ideally in a marketing, growth, or advertising context. * Advanced proficiency in SQL and Python (or R) for data manipulation, modeling, and analysis. * Experience with marketing measurement techniques (e.g. MMM, incrementality testing, causal inference). * Strong understanding of digital marketing ecosystems, including paid social, search, display, email, and affiliate channels. * Proven ability to design and analyze A/B and multivariate experiments. * Excellent communication skills, with the ability to translate complex analyses into clear, business-focused recommendations. * Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent experience. 💰Compensation For Full-Time (Salary) US-based applicants: $205,000/year to $240,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $205K - $240K

Job Description Immigration / Work Authorization Notice: At this time, iSpot does not provide visa sponsorship or immigration support for this role. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. What You'll Be Part Of An iSpot Research Data Scientist (Early Career) is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape. Responsibilities • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets., • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems., • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources., • Bachelor's degree in a quantitative field (e.g., mathematics, economics, statistics, computer science, physics, social sciences); A master's degree is preferred but not required., • Foundational understanding of statistics, data science, and/or machine learning concepts., • Familiarity with one or more data tools (e.g., Python, R, SQL, Spark, or similar) and willingness to learn new technologies., • Comfortable working with data: cleaning, exploring, and visualizing., • Curious, collaborative, and eager to learn from experienced professionals. We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. For more information on total rewards package, go HERE Hybrid & Flexible Workplace Policy iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. Those local or living in surrounding areas to one of our offices (Bellevue, WA; El Segundo, CA; New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further. #LI-Remote If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway! iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team. California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role We are looking for intellectually curious, highly motivated individuals to be foundational members in shaping the Discovery Platform. You will play a critical role in defining the technical direction and designing a world-class scalable Discovery system that is scalable enough to keep pace with our business growth to power feed, browse, search and taxonomy systems while catering to the unique challenges of operating a marketplace for live shopping! Working in a highly cross functional role, you’ll make key decisions about how we integrate retrieval, ranking through machine learning, real-time and stream processing, content understanding, materialization into a highly personalized discovery experience that unlocks product iterations while providing strong reliability. An ideal candidate will have experience building discovery backend and data systems at scale, with a knack for working closely with product engineers to solve immediate problems for our users while making right tradeoffs towards building a platform. We’ll often prototype new ideas quickly, and then need to build them for extreme scale while coordinating closely with other teams - the ideal person for this role is an expert at both of these approaches. Learn more about the Discovery systems at Whatnot from our blog posts on Whatamix, LLMs for Search. What you'll do: * Build the services and infrastructure to enable advanced recommendation systems solutions for real-time, dynamic feeds * Build a scalable, stable, low latency discovery experience * Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems * Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers. * Define and advance our technical approach to scalable recommendation systems. Team members in this role are required to be within commuting distance of our San Francisco, Los Angeles, Seattle, and New York hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Software Engineer you should have 5+ years of experience, a Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience, and ideally deep experience with several of the following: * Industry experience in building and scaling a platform to handle high volume / throughput applications * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. You can mentor others and prioritize building inclusive, supportive teams. * Experience in machine learning fields (e.g. Recommendations, Content Understanding and Search). * Expert at designing and building scalable and maintainable backend systems. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark, OpenSearch, ElasticSearch, Lucene, SOLR. * Experience with concurrent programming patterns across distributed systems (AsyncIO python preferred), and optimizations / profiling / observability associated with them. * Experience managing cloud technologies (AWS or Google Cloud) and comfort with infrastructure-as-code approaches (e.g. Terraform). In addition to these role-specific qualifications, all engineering team members are expected to have: * Proficiency in at least one server-side programming language (preferably Python), common algorithms and data structures, and software design principles. * Self-starter ethic, thriving under a high level of autonomy. * Exceptional interpersonal and communication skills. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $162K - $215K

Job Description JOB DESCRIPTION We are looking to hire an experienced AMC (Australian Mathematics Competition) Test Prep Tutor to be responsible for developing and implementing effective strategies to enhance students' mathematical proficiency in preparation for their AMC exams. We are looking for an AMC tutor who can cover AMC 8, AMC 10, and AMC 12. Your expertise will be vital in creating engaging and innovative mathematics lessons that develop students critical thinking, test taking skills, confidence and problem solving abilities. This is an exciting opportunity for a passionate and experienced Math Instructor to make a positive impact on our students and their learning goals. This is a Flexible, Part-Time opportunity. JOB DUTIES: • Provide one-on-one or group tutoring sessions focused on AMC preparation., • Develop customized lesson plans and materials tailored to each students needs., • Help students understand key mathematical concepts and strategies for solving AMC problems., • Track and assess student progress, providing feedback and motivation., • Foster a positive and engaging learning environment. QUALIFICATIONS: * Bachelors degree in Math or any related field (required) • Master's degree in Math or related field from an accredited college or university (preferred), • 1 year experience as a Math instructor or tutor, specifically in AMC tutoring (required), • Successful track record of developing students knowledge in learning AMC (required), • Successful results from AMC tutoring, • Professional communication skills (both spoken and written), • Able to work independently and collaborate with a team, • Enthusiastic about working with students and parents, • Able to maintain strict confidentiality, • Highly organized and detail-oriented (attention to detail and accuracy are imperative), • Ability to meet schedules and deadlines, • Good judgment and decision-making abilities, • Good problem-solving skills, • Good planning skills, • Highly responsive, • Highly proactive, • Highly reliable

Job DescriptionResponsibilities: 1. Work in big data. Take existing solutions, optimize and build high-performance algorithms. Scale algorithms on terabytes of data. Improve time complexity and space complexity of data pre-processing. Recommend ways to improve data reliability, efficiency and quality.2. Process structured and unstructured data, validate data quality, help to design data quality tests in big data environment.3. Help to develop and support data products. Develop data set processes for data modeling, mining and production.4. Work closely with engineers and data scientists. Help data science team and engineers to improve spark performance. Be involved into data products deployment.5. Create custom software components using Spark or PySpark (e.g. specialized UDFs) and analytics applications.6. Help to create visualization tools for tracking model performance and data quality. Integrate new data management technologies and software engineering tools into existing structures.7. Collaborate with data architects, engineers, data scientist, business team members on project goals. Minimum qualifications:- BS degree in a quantitative field such as statistics, operations research, computer science, mathematics, physics, electrical engineering, industrial engineering.-2 years of relevant work experience in big data analysis or related field (data engineer/developer).-Expert in Spark, Python/ or R, PySpark/ or SparkR, Scala, SQL/Hive- Familiar with Spark MLlib, SparkSQL-Accomplished in Hadoop-based data mining frameworks.Preferred qualifications:- MS or PhD degree in a quantitative field.- 2-3 years of relevant work experience, including deep expertise in Spark.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Decision Scientist II, you will collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions. Embedded within a dynamic environment, you will design, execute, and analyze experiments to solve complex business problems directly related to growth and success. Close collaboration with stakeholders will be key to your success, as you address challenges and contribute to the continuous improvement of the user experience. We currently have multiple Decision Scientist II roles open across different teams. Please note, we will start with a more general interview process and will then match you accordingly based on interest and experience. Key Focuses: • Define KPIs and create reports and dashboards against large data sets to track performance., • Use data to identify opportunities for improving user acquisition and optimizing return on investment., • Turn ambiguous questions into clear analytical problems and solve them using data., • Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth., • Design, execute, and analyze experiments that drive product growth and improvement., • Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience., • 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product., • Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions., • Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL., • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics., • Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference., • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $130,000 - $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job DescriptionDescription: The Dobbs Truck Group is a growth company that successfully expands our operations and customer base through a high-quality team of employees. Dobbs Truck Group operates 25 commercial truck dealerships through two operating companies – Dobbs Peterbilt and Western Truck Center. These dealerships represent some of the best commercial truck brands including Peterbilt, Volvo, Mack, Autocar, and Hino and include locations in Arkansas, California, Louisiana, Mississippi, Oregon, Tennessee, and Washington. We offer a competitive benefits package including medical, dental, vision, long-term disability, life insurance, and 401(k), as well as paid vacation and sick leave. Our Company is looking for long-term employees that we can invest in and grow with as we pursue our mission of being the premier commercial truck dealer group. I. General Job Description This position is responsible for the diagnosis and repair of all vehicles and equipment serviced by the Company’s facilities. Service Technicians are expected to perform with the highest degree of professional competence as it relates to quality of work, product knowledge, and customer service. The duties listed below are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position. II. Minimum Job Qualifications • 18 years of age., • Valid Drivers' License, • High school graduate, GED, or 1 year work experience., • Commercial Drivers' License (CDL), • 1-year heavy duty truck experience., • Ability to perform vehicle lubrication systems and D.O.T. safety inspections., • Comprehension: Ability to understand complex problems, collaborate, and explore alternative solutions., • Organization: Ability to organize thoughts and ideas into understandable terminology., • Reasoning & Decision Making: Ability to make decisions with moderate impact on immediate work unit., • Communication: Ability to use and complete routine forms and/or conduct routine oral communication. The physical demands and work environment characteristics described here are representative of those that must be met by an 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. While performing the duties of this job, the employee is regularly required to use hands to handle or feel, reach with hands and arms, and talk or hear. The employee is frequently required to stand, walk, climb or balance, stoop, kneel, crouch or crawl, and taste or smell. The employee is occasionally required to sit. The employee must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds, and occasionally lift and/or move up to 65 pounds. Specific vision abilities required by this job include color vision, peripheral vision, depth perception, and the ability to adjust focus. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts and risk of electrical shock. The employee is frequently exposed to wet and/or humid conditions, extreme heat, and vibration. The employee is occasionally exposed to high, precarious places, fumes or airborne particles, toxic or caustic chemicals, and outside weather conditions. The noise level is normally loud. VI. Common Expectations of Performance for all Employees The following includes common expectations for all employees of the Company. The evaluation of job performance will be based on these common expectations as well as the position-specific responsibilities described above. Communications, Teamwork, and Feedback to Others • Contribute to a work environment that is based on trust and respect., • Have discussions on a regular basis with their manager to discuss opportunities to best achieve individual performance objectives and departmental goals., • Suggest ways to improve the efficiency of conducting their job duties., • Promote continuous improvement and change to support company growth., • Mentor others unselfishly., • Adhere to the policies contained in the Employee Handbook., • Adhere to the Company’s Employee Conduct Policy., • Support management decisions toward meeting company goals., • Be open and receptive to new ideas, regardless of their origin. Dobbs Truck Group operates 25 commercial truck dealerships through two operating companies – Dobbs Peterbilt and Western Truck Center. Dobbs Peterbilt and Western Truck Center are equal opportunity employers that values a broad diversity of talent, knowledge, experience, and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. Dobbs Peterbilt and Western Truck Parts do not discriminate in hiring or employment on the basis of race, color, religious creed, national origin, sex, ancestry, pregnancy, genetic information, gender identity, sexual orientation, or marital status; or on the basis of age against persons whose age is 40 and over, or on the basis of physical or mental disability; or to disabled veterans or to Vietnam veterans. We are proud to be an affirmative action employer and encourage minorities, women, individuals with disabilities, and veterans to join our team. Requirements:

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job DescriptionCompany Description Do you thrive in environments where you are empowered to make impactful decisions and bring clarity to complex problems? Do you want to be part of a fast-moving high-growth company? Come and join us at Spectrum Effect! Spectrum Effect’s mission is to solve the most challenging and costly problems in the wireless industry through innovation and AI-powered automation. Our team is passionate about creating disruptive technologies, developing solutions with engineering excellence, and delivering substantial value to our customers. Deployed by leading mobile operators across the globe, our Spectrum-NET software solution performs automated AI-driven analysis of radio access networks. Spectrum-NET is a cloud-native, horizontally scalable solution based on a Kubernetes-orchestrated microservices architecture. Our 60+ person team is located primarily in Seattle (U.S.) and Monterrey (Mexico), with team members enjoying ownership in our private company through stock options and competitive salaries. This is an amazing opportunity to join an emerging leader in the AI automation space and make a real impact on the mobile industry. Job Description Job Description We are seeking a Senior Wireless Communications Systems Engineer. In this role, you will help create and improve on transformational technologies and solutions for mobile wireless operator networks. Responsibilities include analyzing wireless network performance data in support of product feature design, developing Python scripts to aid with this analysis, preparing customer reports with the results of the analysis, algorithm design, and analyzing the results of new features within live operator networks. We are looking for someone who can: • Define product requirements and develop algorithms for cellular network analysis and optimization tools., • Analyze measurement data from cellular networks to support development of features using tools such as Python, Pandas and Numpy., • Analyze and design new algorithms and features for Spectrum-NET., • Proactively apply critical thinking to anticipate possible issues., • Develop creative solutions to overcome difficult problems., • Collaborate with other wireless systems engineering team members., • Work with software development teams and actively contribute to the implementation of Spectrum-NET features., • Analyze data to characterize behavior and performance of new features in lab and live network environments., • Write technical documents and papers specifying technical requirements, solutions, and product goals.Qualifications, • LTE and 5G NR RF network optimization and troubleshooting processes knowledge and experience with Nokia, Huawei, Ericsson and/or Samsung RAN products., • Understanding of RF propagation, RF Interference and how these impact cellular wireless networks., • Skilled in using scripting languages such as Python and libraries such as Pandas and Numpy for analyzing LTE and 5G performance management (PM) counter data., • Demonstrated understanding of how RAN PM are collected and reported., • Candidate will be able to demonstrate strong analytical skills in the areas of critical thinking, data analysis, research and problem solving., • Demonstrating an understanding of machine learning techniques and its applications is considered a plus., • Excellent written and communications skills in English., • Experience with querying data from NoSQL databases (e.g., MongoDB, InfluxDB)., • Understanding of machine learning techniques and its applications is considered a plus. Additional Information Why Join Us · Dynamic Team: Collaborate with passionate experts driving real innovation in the telecom space · Career Growth: Work on high-impact problems with real ownership and visibility · Meaningful Work: Help shape the next generation of ML-driven network analytics · Attractive Benefits: Competitive salary, stock options, and a flexible work environment This is a hybrid position. The candidate should be based in or willing to relocate to the Seattle area. Do you have the technical chops and product sense to help shape the future of wireless automation? Apply now—your next big opportunity starts here.

Job Description Let ATOMS Placement Services help you find your next Math teaching job. ATOMS is a boutique educational recruitment firm that specializes in the placement of STEM (science, technology, engineering and math) educators in independent schools. We work with hundreds of leading day and boarding schools in 39 states. Our services are free to job-seekers. If you are accepted as an ATOMS candidate, we will provide you with personalized job opportunities that match your geographic and position requirements, as well as the requirements of the hiring school. Job Summary: ATOMS client schools are looking for experienced Mathematics Teachers for the 2026-2027 school year. Become a candidate with ATOMS today and let us help you take the next step in your career. Ideal candidates will have: • a depth of knowledge in mathematics, ranging from Pre-Algebra through Calculus, • strong interpersonal, organizational, and communication (oral and written) abilities, • a passion for developing student interest in mathematics, • the ability to work collaboratively and independently, • experience integrating up-to-date technology in the classroom, • the ability to differentiate instruction and design lessons based on students’ learning styles, • a commitment to professional growth in their discipline and teaching practice Desired Qualifications and Experience: • Bachelor's degree in Mathematics (or closely related discipline) required; advanced degree(s) preferred, • Teacher certification is not required, • 3+ years of relevant teaching experience at the high school or middle school level, • Independent or private school teaching experience is beneficial Please note: Due to the large number of applications received, we are unable to respond to all applicants, or give application status updates. Candidates selected for an interview will be contacted by an ATOMS staff member. List of Benefits: Compensation and benefit packages will vary by school and will typically depend on geographical location, experience, and level of degree. Benefits packages will include medical insurance and 403(b) TIAA-CREF, and may also include dental insurance, vision insurance, housing, relocation assistance, tuition remission, and professional development. Company DescriptionATOMS Placement Services is a boutique recruiting agency specializing in the placement of STEM (science, technology, engineering and math) educators in independent schools. We work with hundreds of leading day and boarding schools in 39 states. As the only company in the nation specializing in STEM teacher placement, we are uniquely positioned to help STEM educators looking to take the next step in their careers.ATOMS Placement Services is a boutique recruiting agency specializing in the placement of STEM (science, technology, engineering and math) educators in independent schools. We work with hundreds of leading day and boarding schools in 39 states. As the only company in the nation specializing in STEM teacher placement, we are uniquely positioned to help STEM educators looking to take the next step in their careers.

Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities, • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption, • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments, • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation, • Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and MLRequirements:, • Degree in Computer Science, Mathematics, or a related field, • 8+ years of experience in applied ML research and production deployment, • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production, • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production, • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems, • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP, • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse, • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks, • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $185K - $260K

Job Description Are you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry. Life At Cognitiv Our solutions provide advertisers with more time and freedom to concentrate on what matters to them most, both professionally and personally. We carry this philosophy into our workplace, offering our employees more chances to grow, collaborate, and achieve their goals. At Cognitiv, you will get MORE: - Festiv - Fun and positivity are integral to our work environment. From cross-departmental games to friendly competitions and unique events, we ensure a dynamic and enthusiastic culture. - Responsiv - Making a difference for our clients is at the heart of what we do. To make this one of our superpowers, we strive to create a culture of open communication and continuous learning. You will work closely with clients and key company stakeholders, sharpening your communication skills in a supportive environment where your input and ideas are valued and integral to our success. - Inclusiv - Diversity and inclusion are more than just words to us—they are principles we live by. We celebrate unique perspectives, ensuring everyone feels valued and respected. - Inventiv - As industry pioneers, we continuously reinvent and reimagine solutions. Sharing our knowledge and expertise to educate and lead the market is part of our DNA. If you love questioning the status quo, pushing boundaries, and challenging conventional thinking, you will fit right in. We admire intellectual curiosity and encourage it at every turn. - Transformativ - We invest in the continuous growth and development of our team members, celebrating their contributions and supporting their work-life balance and overall well-being. Our holistic training, onboarding programs, and professional growth and development initiatives ensure you have the resources to succeed. - Collaborativ - We transcend geographical boundaries, seamlessly operating across two coasts. Our culture thrives on cross-departmental collaboration and a unified sense of purpose, making teamwork a cornerstone of our success. Come join Cognitiv as a Senior Software Engineer and be a part of our fast-growing company on the cutting edge of artificial intelligence! We are looking for a talented, highly motivated software engineer with proficiency in machine learning technologies. This engineer will play a key role in the development of our ML Ops platform, specifically powering the in-house Identity systems. Together with Cognitiv’s team of engineers and scientists, you will help build the next generation of deep learning models that allow our campaigns to perform at scale. This position will be located in the Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).Responsibilities • Lead technical design, architecture and development of critical projects, • Analyze new and existing system requirements and propose novel solutions, • Implement and optimize ML Ops platform related to Identity Resolution and Identity Graphs, leveraging both industry standard systems and proprietary in-house solutions, • Collaborate with other Engineering teams and cross-functional partners to build system functionality that supports high-performance ML-driven products, • Be a mentor for Junior Engineers through Code Reviews, Pair Programming, Design Reviews., • Develop automated testing and benchmarking routinesRequirements, • Bachelor degree or higher in Computer Science, Mathematics, Physics, Engineering or related field, • 5+ years development building back-end services in .NET Framework/Core, • 5+ years of experience designing and implementing RDBMS data models (Postgres, MSSQL, Oracle, etc.), • Ability to own services end-to-end in service life cycle (planning, design, delegation, testing, operations, etc.), • Familiar with ML platform and ML development lifecycle (big data preparation, model evaluation, etc.), • Strong written and oral communication skills; ability to effectively articulate technical challenges and solutions, • Experience with Identity, preferably Identity Resolution and Identity GraphsPreferred Qualifications, • Experience using enterprise cloud providers (AWS, GCP, Azure, etc.), • Experience with modern data warehousing technologies (Clickhouse, etc.), • Experience with infrastructure as code (Terraform, Ansible, etc.), • Experience with containerized application (Docker), • Experience with ML Ops technologies (Orchestration, Model Management, Feature Stores, etc)Salary, • $160,000-$210,000 Base Salary + EquityActual compensation is based on multiple factors that are unique to each candidate, including and not limited to job-related knowledge, level of relevant experience, education and skills. Base salary is just one component of your total rewards package at Cognitiv. Employees are eligible for equity and various benefits. Here are some of the many benefits that our employees receive: ● Medical, Dental and Vision coverage, including some plans that are 100% employer paid● 12 weeks paid parental leave● Career Ladders slated to advance your career● Unlimited PTO● Work-From-Anywhere August● Equity at all levels● Comprehensive onboarding program (Cognitiv University)● Hybrid work model● Daily Lunch On Us● Health and Wellness Stipend● Cell phone reimbursement● Parking Expense (CA & WA Offices)● 401(k) plan with employer match● Employee Assistance Program● Pre-tax commuter benefits and MORE! Cognitiv is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to ensuring equal employment opportunities for all employees and applicants, regardless of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by federal, state, or local laws.

Job DescriptionAbout HighspotHighspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world. About the RoleOur Machine Learning Team is developing next-generation AI capabilities for Highspot’s leading sales enablement platform. We stay at the forefront of machine learning research, continuously improving our models and algorithms through collaboration with product and data science teams. Our mission is to help our customers unlock the power of machine learning to improve productivities, sales performance, and achieve their business goals. We are looking for a Senior Machine Learning Engineer to join us in this effort.What You'll Do • Collaborate with product and data science teams to identify opportunities that drive customer values, and define machine learning requirements, lead the development and deployment of machine learning solutions and applications, while ensuring scalability, reliability, and maintainability., • Develop and maintain a robust machine learning platform that enables the efficient deployment and management of machine learning models across our product offerings., • Stay up-to-date with the latest machine learning research and trends, and apply them to our product offerings, while mentoring and collaborating with junior team members to improve their technical skills, • Partner cross-functionally across all of Highspot’s feature engineering crews, as well as with QA/DevOps/Site-Reliability.Your Background, • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, • 5+ years of experience in developing and deploying machine learning models and systems, • Strong proficiency in at least one programming language (Python, Java, C++, etc.) and experience with machine learning libraries (TensorFlow, Keras, PyTorch, etc.), • In-depth understanding of machine learning concepts, such as supervised and unsupervised learning, deep learning, and natural language processing, • Experience with data processing tools and technologies, such as Spark, Flink, Hadoop, and SQL databases, • Strong problem-solving skills and ability to analyze complex data sets., • Excellent communication skills and ability to articulate complex technical concepts to non-technical stakeholders, • An entrepreneurial spirit: you’re agile, creative, resourceful, and tenacious as you solve problems and achieve team and company goals., • Comfortable with modern open source technologies and tools. #LI-NT1 Equal Opportunity StatementWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation. Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.

Job DescriptionOur Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! In this role, you will: • Design and build a scalable, efficient, and robust robotaxis dispatch service., • Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques., • Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems., • Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency., • Integrate optimization algorithms into the robotaxi platform., • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field., • Proven experience in algorithm development, with a strong emphasis on operational research methodologies., • Proficiency in programming languages like Python, Java or Kotlin, or C++., • Solid background in machine learning, AI, operational research, and data analysis., • Passion for learning new technologies, domains, and challenging the status quo., • Strong mathematics skills., • Exceptional problem-solving, analytical, and quantitative skills.Bonus Qualification, • PhD in Operations Research, Computer Science, or a related field with a focus on optimization algorithms or AI., • Experience with GIS and mapping software., • Experience in transportation, logistics, or autonomous vehicles., • Experience in building/using fleet simulation tools., • Ability to lead through ambiguity and work with diverse stakeholders., • Ability to Iterate quickly and efficiently on building end-to-end experiences., • Experience handling large data sets and scaling service horizontally to a large number of users., • Experience developing cloud services and an understanding of design for scalability, performance and reliability., • Knowledge about microservice design patterns and DB access., • Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAt Zoox, we’re not just building self-driving cars; we’re creating an autonomous ride-hailing service that will revolutionize how people move. Our Ops Tools team is the central nervous system of this mission, and we’re looking for a Staff Software Engineer to be a technical leader in this critical area. This isn’t just another full-stack role. You’ll be at the intersection of web development, robotics, and real-time operations, building the software that allows us to manage and scale our fleet of autonomous robotaxis. If you’re a seasoned engineer who thrives on solving complex, multi-disciplinary problems and wants to see your work have a tangible impact on the world, we want to hear from you.In this role, you will: • Architect and own the full-stack web applications that are the backbone of our autonomous vehicle operations. We’re talking about systems that provide real-time vehicle monitoring, in-car visualizations, and live support for our riders., • Be the technical authority. You’ll provide architectural leadership across the stack, from the front-end to our backend services and AI infrastructure. Your decisions will ensure our systems are scalable, reliable, and technically excellent., • Lead and multiply. You won’t just be writing code. You’ll be a mentor and a guide for other engineers on the team, elevating the technical bar through code reviews, design discussions, and by championing best practices., • Collaborate and innovate. You’ll work closely with product managers, designers, and our remote operators to dream up and deliver new features that solve some of the most interesting challenges in the industry today.Qualifications, • Solid foundations in JavaScript/TypeScript, HTML and CSS, • Solid understanding of web technologies, • Experience with a Front End UI Framework (e.g. Vue, React, Svelte), • Ability to design and architect large scale web applications, • Ability to communicate clearly and collaborate consistently, • 10+ YOE and Bachelor's degree or equivalent experience in an engineering, mathematics, or related fieldBonus Qualifications, • Experience with Python or C++, • Experience with 3D graphics, especially in a web context.

Job DescriptionPrincipal Software Engineer – (Gen AI, Big Data): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Provide technical leadership and vision for large-scale distributed systems, ML platforms, and next-generation data infrastructure, • Lead the design, architecture, and delivery of end-to-end solutions across the full SDLC, spanning development, testing, deployment, and operations, • Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready solutions, • Architect scalable microservices and real-time inferencing systems leveraging modern ML infrastructure such as AI Agents, MCP, ML Inference, and LLM Gateway, • Mentor and grow engineering teams, set technical direction, and foster a culture of engineering rigor, collaboration, and operational excellence, • Champion best practices for building resilient, secure, and high-performance systems, optimized for scale and reliabilityRequirements, • Degree in Computer Science, Mathematics, or a related field, • 10+ years of experience across the full software development lifecycle including design, coding, reviews, testing, deployment, and operations, • 5+ years of experience with distributed Big Data and ML platforms such as Spark, Lakehouse, Debezium, Kafka, Flink, or Hudi, • Hands-on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production, • Experience working with Graph ML and Graph technologies such as GNNs, • Strong track record of end-to-end solution ownership, from design through production scaling, • 5+ years of experience deploying large-scale solutions on cloud platforms such as AWS, Azure, or GCP, • Proven ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with sensitive or streaming data pipelines, including real-time compliance and governance controls

Currently pursuing a Master's degree in statistics, mathematics, economics, applied sciences, computer science or related field. We're looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding a

CSE is home to more than 1,300 students across 14 undergraduate majors, four graduate degrees, and multiple pre-professional programs.

Masters degree in Mathematics required. Related Masters degree with substantial graduate level Mathematics course work may be considered. Mathematics Adjunct Salary: $1,000 per credit* Classification: Adjunct Faculty Reports to: Dean of Mathematics, Engineering, Science, and Health *This recruitment

Graduate degree or equivalent experience in a Science, Computer Science, Engineering, or Mathematics-related discipline. Experience overseeing bachelor's degree programs or leading curriculum development for applied or transfer STEM degrees. These programs support students pursuing transfer degrees,

This position reports to the Dean of Mathematics, Engineering, Science, and Health (MESH). Masters degree in Physics required. Related Masters degree with substantial graduate level Physics course work may be considered.

Master's degree in math or closely related field from an accredited college or university. Degrees must be from accredited colleges or universities recognized by the U. International degrees will be verified for U.

Focus Staff is seeking a travel Mammography Technologist for a travel job in Seattle, Washington.Job Description & Requirements.We currently have a client in Seattle, WA looking for a Mammography Tech (Traveling Mammography Tech).Focus Staff is seeking a traveling Certified Mammography Tech, who wil

Advanced degree (MS or higher) in Computer Science, Software Engineering, or a related field.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the pro

Stability Healthcare is seeking a travel CT Technologist for a travel job in Everett, Washington.Job Description & Requirements.Stability Healthcare is looking for a Computed Tomography Technologist Allied contract position in Everett, WA.The Computed Tomography (CT) Technologist is a highly skilled

Magnet Medical is seeking a travel Mammography Technologist for a travel job in Everett, Washington.Job Description & Requirements.

International degrees will be verified for U. Masters degree in Physics or closely related field from an accredited college or university. Degrees must be from accredited colleges or universities recognized by the U.

Focus Staff is seeking a travel Mammography Technologist for a travel job in Edmonds, Washington.Job Description & Requirements Specialty: Mammography Technologist Discipline: Allied Health Professional Start Date: 12/01/2025 Duration: 13 weeks 40 hours per week Shift: 8 hours, days Employment Type:

LeaderStat is seeking a travel Mammography Technologist for a travel job in Edmonds, Washington.Job Description & Requirements.The above pay package is an estimate, please contact our team to put together your personalized pay package, as a variety of factors can influence your total pay.Mammography

Assured Nursing is seeking a travel Mammography Technologist for a travel job in Edmonds, Washington.Job Description & Requirements Specialty: Mammography Technologist Discipline: Allied Health Professional Start Date: 12/01/2025 Duration: 13 weeks 40 hours per week Shift: 8 hours, days Employment T

Educational Consultant (Grades 9-12 Math).Savvas Learning Company helping to initiate lasting change in districts and schools by delivering core content, intervention and supplemental professional development, Change of Practice, and Job-embedded services.This resource provides individual and group

Epic Travel Staffing Allied is seeking a travel Mammography Technologist for a travel job in Edmonds, Washington.Job Description & Requirements Specialty: Mammography Technologist Discipline: Allied Health Professional Start Date: 12/01/2025 Duration: 13 weeks 40 hours per week Shift: 8 hours, days

Coast Medical Service is seeking a travel Mammography Technologist for a travel job in Edmonds, Washington.Job Description & Requirements Specialty: Mammography Technologist Discipline: Allied Health Professional Start Date: 12/01/2025 Duration: 13 weeks 40 hours per week Shift: 8 hours, days Employ

LeaderStat is seeking a travel Mammography Technologist for a travel job in Everett, Washington.Job Description & Requirements Specialty: Mammography Technologist Discipline: Allied Health Professional Start Date: 11/17/2025 Duration: 13 weeks 40 hours per week Shift: 8 hours Employment Type: Travel