Engineering Structures Jobs in Kent Wa Remote

The Company

Davis Wire (Kent, WA) is part of the Heico US Wire Group, comprising three independent companies with four manufacturing facilities that produce steel wire and cable products for diverse industries. This independent model encourages entrepreneurship, growth, and professional development at all levels. The US Wire Group operates within the Metals Processing Group and is wholly owned by The Heico Companies, LLC.

Our philosophy of developing close customer contact to provide prompt, responsive service and to meet our customers’ changing needs allows us to be leaders within our respective industries. Products are marketed domestically through a direct sales force, manufacturer's representatives, and an established network of independent distributors. Our company is diverse and has a solid management base, product/market niches and efficient manufacturing capabilities.

The Position

The EHS Manager is a champion of safety culture, responsible for developing and implementing programs that ensure compliance with the Heico EHS management system, regulatory requirements, and the site’s strategic goals. Reporting to the Facility VP/GM, this visible role requires a strong presence on the production floor and close collaboration with employees, supervisors, managers, and corporate/regional EHS teams. The role may also be overseeing the work of staff, hourly employees, or external consultants.

Job Description

Primary Responsibilities

• Lead the development and implementation of safety policies, procedures, and training programs to ensure compliance with local, state, and federal regulations.
• Promote a proactive safety culture by training managers and employees in safe work practices, fire prevention, chemical/material handling, and emergency response.
• Serves as a visible leader on the production floor, conducting inspections, identifying risks, and ensuring timely corrective or preventative actions.
• Plans and implements training programs for managers and employees on safe work practices, fire prevention, and proper handling of materials.
• Guides management and supervisors in accident investigations and partnering with HR on workers’ compensation, hearings, and insurance cases.
• Manages environmental compliance, including waste stream management (RCRA/DOT), manifests, labeling, and wastewater treatment operations.
• Ensures that all waste is stored in compliance with RCRA and other relevant regulations.
• Conducts environmental and safety inspections and determines corrective or preventative measures where indicated and follows up to ensure measures have been implemented.
• Completes and submits all environmental reports required by various agencies.
• Plans and implements safety policies and procedures in compliance with local, state, and federal rules and regulations.
• Prepares studies and analyses of industrial accident causes and hazards to health for use by company personnel and outside agencies.
• Compiles and submits accident reports required by company and regulatory agencies.
• Oversees the administration of workers' compensation program, including working with the insurance carrier to eliminate employee industrial accidents, working in tandem with the Human Resources department.
• Represents the organization in community or industry safety groups and programs.
• Maintains safety files and records.

Job Requirements

• Minimum 10 years of industrial EHS experience including at least 5 years’ management level EHS experience preferred.
• Bachelor’s degree from an accredited institution in engineering, safety, environmental or related science
• Strong working knowledge of applicable EHS laws and regulations, state, local, and federal
• Excellent time management, project coordination and organizational skills
• Strong analytical skills and ability to leverage data to make/gather support for business decisions
• Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations.
• Ability to write reports, business correspondence, and procedure manuals.
• Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
• Ability to think strategically and solve practical problems and deal with a variety of variables in situations where only limited standardization exists.
• Ability to carry out supervisory responsibilities in accordance with the organization's policies and applicable laws.
• Strong team building and team-participation skills
• Ability to both teach and learn
• Strong oral and written communication skills with an ability to communicate with all levels of the organization and work in a team environment
• Must be able to use Excel, Word, and Outlook
• If needed must be able to obtain “Operator in Training Certification” from State of Washington Department of Ecology
• Must be able to understand the process flow and reactions occurring within each component of the wastewater treatment and acid recovery system
• Must be able to understand and apply basic principles of chemistry (i.e. pH, acids/bases)
• Certification in an EHS related discipline and/or further education is a plus.
• Authorized to work for any employer in the United States of America
• Must be able to pass preemployment background, drug/alcohol, and physical screenings

Physical Requirements

• Must be able to use a variety of hand tools such as wrenches, screwdrivers, hammers, etc.
• Must be able to work in a dusty environment around metals
• Sight – hand and eye coordination, depth perception needed to operate, adjust, and quantify chemicals and equipment, vision sufficient to inspect work areas and building for issues and operate computers
• Hearing – must be able to hear others and warning sounds of forklift and other heavy machinery
• Speech – must be able to communicate effectively with others while working
• Smell – must be able to smell various chemicals and gasses
• Must be able to sit, stand, and walk for long periods – frequent to constant
• Must be able to squat, stoop, twist, climb, crawl, reach, grasp, and fine manipulation, and bend occasional to frequent
• Must be able to be able to lift/carry 50+ lbs - occasional

Key Leadership Competencies

• Leadership Capability - Has the leadership acumen and credibility to work across the entire organization and develop talent. Should be hands-on, but able to delegate appropriately with the ability to motivate, inspire and commit an organization to a course of action and achieve results.
• Strategic Thinking - Strong strategic capabilities and overall business acumen. Financially savvy and understands the economic levers behind improving EBITDA and other key metrics. Fact-based, data-driven and analytical. Creative mindset with the ability to identify and mobilize around new opportunities very quickly.
• Innovation Focus - Confident ability to drive change and express and advocate for new ideas and ways of doing things. Willingness to take appropriate business risks, recognizing that to succeed overall, one will occasionally fail.
• Collaborative Style – Engages stakeholders in problem solving and decision making. Is adept at bringing people together to tackle issues rather than dictate solutions. Has a collegial, inclusive working style and is professional and courteous. Builds strong relationships both internally and externally. Is both confident and humble.
• Communication Skills - Excellent verbal and written communication skills with the ability to effectively deliver and reinforce consistent messages at all levels. Excellent listening skills.

NOTE: We are willing to provide relocation assistance for the right candidate

• Predictable, W-2 compensation and benefits  
• Flexible scheduling, control over their schedule, session structure, and patient population  
• Minimal administrative burden in a fully remote, outpatient model 

• 100% remote, outpatient psychiatry  
• Lower to moderate acuity populations (ex. anxiety, depression, ADHD, mood disorders, OCD, PTSD) 
• Patient population across the lifespan: children & adolescents (treated by board-certified Child & Adolescent Psychiatrists only), adults, and geriatric patients 
• Standard session lengths (60-minute intakes, 30-minute follow ups) 
• No inpatient, intensive outpatient programs (IOP), partial hospitalization care or crisis coverage 
• In-house referral network to therapists 
• Full operational support including scheduling, billing, intake coordination, and licensing 

• Control over schedule and weekly availability  
• Session length within established clinical standards  
• Patient population, balanced to individual criteria and preferences 
• Clinical decision-making without pressure to shorten visits or increase volume 
  

• Employer-paid health, dental, vision insurance (up to 100% of premiums) 
• Malpractice coverage (occurrence-based, 100% employer-paid) 
• 401(k) match with employer match and Day 1 vesting  
• Paid time off (PTO), paid sick time and 11 paid holidays 
• Paid parental leave and long-term retention benefits (ex. 4-week paid sabbatical after 5 years) 
• CME reimbursement and dedicated CME days 
• Licensing support with upfront coverage of costs 
• Technology package provided 

• Board-certified or board-eligible psychiatrists (MD/DO)  
• Active, unrestricted medical license (multi-state licensing support available)  
• Interest in outpatient, 100% telepsychiatry-based care  
• Comfort with learning streamlined clinical technology 
• Strong clinical judgement, communication skills and collaborative mindset  

Description:

Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students.

MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential.

Responsibilities include:

• 
  
• Providing daily supervision and mentorship
  
• Managing household routines and student schedules
  
• Administering medications and ensuring student wellness
  
• Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students
  
• Leading daily devotions and accompanying students to Sunday Chapel
  
• Overseeing budgeting and household reporting
  

Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home.

Benefits include:

• 
  
• Salary: $44,768.00 per person (approximately $168,000 total compensation per couple, including free housing, meals while on duty, utilities, and more)
  
• Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings
  
• Relocation assistance and paid training provided
  

• 
  Paid time off provided at designated times throughout the year
  

Qualifications include:

• 
  
• Experience working or volunteering with youth
  
• This is a two-person role for couples legally married for at least two years
  
• Both spouses must be age 27 or older
  
• No more than three dependent children may reside in the student home
  
• Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty
  
• Pet limitations: only fish and one dog of approved breeds allowed
  
• Valid U.S. driver’s license and ability to become certified to drive student home vans
  
• Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited)
  
• High school diploma or GED required
  
• Ability to lift to 50 lbs.
  
• 
  Demonstrated integrity and professionalism; MHS staff serve as role models for students
  
  

This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit

We’re seeking dependable individuals who want to build a side income alongside their full-time work. This role offers flexible tasks you can perform outside your regular job hours. You’ll be given structured guidance and tools to identify side hustles that complement your main job, without conflict or burnout.

Responsibilities:

• Work through curated side-hustle ideas and evaluate which suit your skills and schedule

• Test and implement methods to generate extra income (e.g. remote tasks, micro-projects)

• Track your time and earnings; maintain simple reports

• Adjust your workflow and focus on the side hustles that deliver the best return

Requirements:

• Must have a full-time job already (or other main commitment)

• Reliable internet access and a device (laptop, tablet or smartphone)

• Basic organization skills and ability to work independently

• Willingness to learn and experiment

Preferred Qualities:

• Self-motivated

• Good at managing time

• Comfortable trying new things

• Able to commit a few hours each week

Benefits:

• Work on your own schedule (evenings/weekends)

• Low risk; minimal overhead

• Opportunity to scale income over time

• Support and guidance provided

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)

The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.

The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience

Responsibilities

• Handle tickets and calls directly to build deep product knowledge and earn customer trust
• Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
• Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
• Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
• Define and track key operational KPIs and build automations to drive ongoing efficiency
• Champion team autonomy and maintain quality standards throughout a period of significant scale

What We Need to See (Essential)

• 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
• Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
• Proficiency in maintaining & utilizing ticketing CRMs
• Demonstrated ability to thrive in hypergrowth environments and build processes from zero
• Comfort working across time zones (specifically West Coast)
• Genuine alignment with the company's mission in women's and children's health

What We’d Like to See (Bonus)

• Experience in a healthcare or regulated SaaS environment
• Familiarity with building or scaling a support function at a Series A-C stage company
• Experience with CRM automation and reporting

Location: Hybrid

Package: $60-80 per hour

Duration: 4 months

Our client, a fast growing publicly traded manufacturing company is looking for a Senior Accountant to join. This role will have meaningful responsibility across financial reporting, operational accounting, and process optimization within a multi-entity, global environment.

The ideal candidate is detail-oriented, technically strong in U.S. GAAP, and comfortable operating in a matrixed organization with cross-border collaboration.

Core Responsibilities

Financial Close & Reporting

• Manage critical components of the monthly and quarterly close cycle
• Prepare journal entries, account reconciliations, and analytical reviews
• Perform detailed variance and trend analysis to support reporting accuracy
• Ensure results align with U.S. GAAP and corporate reporting policies

Compliance & Audit Coordination

• Support both internal and external audit activities
• Prepare audit documentation, schedules, and regulatory support files
• Maintain compliance with global accounting standards, including U.S. GAAP and applicable local requirements

Cross-Functional Partnership

• Partner with Operations, Engineering, Product, Tax, Legal, and other internal stakeholders to ensure proper accounting treatment of business activities
• Assist in evaluating complex transactions and operational impacts on financial reporting

Process Optimization & Controls

• Identify opportunities to enhance efficiency across end-to-end accounting workflows
• Contribute to initiatives aimed at improving internal controls and accelerating close timelines
• Collaborate with shared services teams, including offshore support functions, to refine processes and strengthen accountability

Special Projects & Systems

• Provide support for ERP enhancements, system upgrades, and finance transformation initiatives
• Assist in financial modeling, business case analysis, and other ad hoc strategic projects
• Contribute to continuous improvement efforts leveraging technology and automation tools

Qualifications & Experience

• Bachelor's degree in Accounting required; CPA or equivalent certification strongly preferred
• 4+ years of progressive accounting experience
• Background in manufacturing and/or publicly traded environments preferred
• Strong knowledge of U.S. GAAP and corporate reporting standards
• Experience supporting audits and working within structured control environments
• Familiarity with procure-to-pay processes
• Proficiency in Excel; experience with Oracle or comparable ERP systems preferred
• Experience working with shared services or offshore accounting teams preferred
• Ability to manage multiple deadlines in a dynamic, global environment
• Strong analytical mindset with attention to detail and ownership mentality
• Willingness to travel up to 10% (domestic and international)

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB

Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington

Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.

Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.

Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.

Responsibilities

• Define and advance the analytics and insights vision for the organization.
• Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
• Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
• Create clear standards for reporting, dashboards and insight delivery across client accounts.
• Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
• Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
• Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
• Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
• Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
• Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.

Requirements

• Significant experience in analytics and insights leadership, including team management.
• Strong expertise in digital advertising measurement and ecommerce performance analysis.
• Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
• Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
• Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
• Working knowledge of statistical or analytical tools such as Python, R or equivalent.
• Ability to design measurement frameworks that connect media investment to broader business outcomes.
• Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
• Experience operating in a fast-paced, evolving environment with multiple stakeholders.
• Bachelor's degree required; an advanced degree is advantageous.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA