Engineering Structures Jobs in Macedonia Ohio Remote
392 positions found — Page 9
Salary: $90,000
- $120,000 per year A bit about us: My client is a leading manufacturing company and is growing! They are looking to add a Manufacturing Engineer to their team who is responsible for developing, improving, and supporting all production processes associated with the launch, manufacture, and test of products in an assigned value stream or product line.
Why join us? Compensation Up To $120,000 Job Details Essential Job Functions: Develops, evaluates, and improves manufacturing processes while maintaining compliance to design specifications.
Programming of equipment, creation of CNC code, and tool path simulation.
Primary contact for design engineering or program management on manufacturing processes.
Creates and maintains manufacturing methods, Bill of Materials, and labor standards in ERP system.
Participates in activities related to C.I.
and cost reductions/process improvements.
Design, construction, and validation of tooling, fixtures, gages, and equipment.
Workflow / cell design with a focus on waste reduction and process improvement.
Analysis of manufacturing variances to help identify key areas in need of improvement.
Troubleshoot and solve manufacturing problems in a machining environment.
Support Supply Chain and Quality with supplier development activities as needed.
Mentor/guide lower level manufacturing engineers.
Qualifications: 5-10 years manufacturing engineering experience.
Minimum 5 years CAD and CAM software experience required.
Mastercam preferred.
AutoCAD Inventor 3D modelling or similar software required.
Vericut experience preferred.
Ability to read and interpret complex 2D blueprints and 3D models required.
Working knowledge of GD&T required.
Experience with tooling selection and fixture design required.
Knowledge of both manual and CNC machining equipment, specifically multi-axis (5+) programming experience.
Hands on troubleshooting & problem solving including statistical analysis.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
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Salary: $38
- $45 per hour A bit about us: For more than 50 years, we’ve been at the forefront of high‑performance mixing technology—and we’re just getting started.
Our success is built on a clear purpose: creating innovative, dependable, and custom-engineered solutions that solve real-world challenges for our customers.
Every system we design starts with the end user in mind, ensuring exceptional performance, long-term durability, and intuitive operation.
Our headquarters in Macedonia, Ohio is home to a cutting-edge, all‑in‑one operation.
Engineering, R&D, manufacturing, marketing, and customer support all work side by side, giving us complete ownership of quality and the freedom to continuously innovate.
It’s an environment where ideas move quickly from concept to reality—and where employees can see the direct impact of their work.
Why join us? Pay: $38-$45/hr depending on experience Overtime available 1st shift Competitive benefits Welcoming work environment offering growth potential Job Details The Manufacturing Manager is responsible for overseeing day-to-day manufacturing operations within a machine shop and manufacturing environment.
This role ensures safe, efficient, and high-quality production across machining, fabrication, welding, assembly, and finishing operations.
The Manufacturing Manager leads production teams, drives continuous improvement, manages schedules and resources, and partners with engineering, quality, and supply chain to meet customer, cost, and delivery objectives.
Key Responsibilities Lead and manage all shop floor operations, including CNC machining, manual machining, fabrication, welding, and mechanical assembly of tank agitators and related components.
Plan, schedule, and coordinate production activities to meet delivery commitments, capacity constraints, and quality standards.
Monitor production performance, throughput, labor efficiency, and equipment utilization; take corrective action as needed.
Ensure work orders, routings, and bills of materials are executed accurately and efficiently.
Leadership & Team Development Supervise and develop shop supervisors, leads, machinists, welders, assemblers, and support staff.
Establish clear performance expectations and provide coaching, training, and feedback.
Promote a culture of accountability, teamwork, safety, and continuous improvement.
Participate in hiring, onboarding, performance reviews, and workforce planning.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
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
We’re looking for people interested in a part-time remote opportunity to supplement their main income. This position is ideal for professionals, freelancers, and anyone who wants to improve their financial situation with flexible, manageable work.
You’ll receive access to structured resources explaining simple, effective ways to earn extra income using your existing skills and free time.
Responsibilities:
Review step-by-step guides and apply them independently
Choose methods that fit your experience and lifestyle
Monitor and report your own results to measure progress
Maintain consistency and reliability
Requirements:
Reliable internet connection and basic computer literacy
Strong self-motivation and time management
Comfortable working independently
Willingness to learn new approaches
Benefits:
Remote and flexible schedule
No selling or cold calling
Practical ways to build a stable side income
Opportunity for long-term financial growth
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
Remote working/work at home options are available for this role.
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
Remote working/work at home options are available for this role.
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)
Remote working/work at home options are available for this role.
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.
Remote working/work at home options are available for this role.
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
Remote working/work at home options are available for this role.
