Engineering Structures Jobs in Milwaukee Wi Remote

We are Toshiba. We have an unwavering drive to make and do things that lead to a better world.

At Toshiba, we commit to raising quality of life for people around the world, ensuring progress that is in harmony with our planet. Our core values include: Do the Right Thing, Look for a better way, Always consider the impact and Create Together.

Toshiba America Energy Systems Corporation (TAES) provides energy industry solutions – new equipment, retrofits, maintenance, outage planning and more – for current and future power generation needs in the Americas, including thermal, hydro and nuclear power plants.

Position Summary

We are seeking a 2nd Shift Turbine Mechanic (4 - 10's) to work out of our Milwaukee Service Center. This position is responsible for the disassembly, assembly, and mechanical operations on a variety of steam turbine spindles, casings, and valves where methods are standardized and prescribed. Work from assembly drawings and specifications to do skilled fitting, aligning, and adjusting along with some secondary machining. Use a wide variety of precision measuring instruments and gauging devices.

Essential Duties

• Receive and inspect incoming turbine components, take digital pictures of shipping container, cribbing, rigging techniques, and all parts.
• Measure and record the critical dimensions of the turbine components.
• Charting of the disassembly of the blades and proper labeling.
• Perform proper blade straightening and repairs procedures.
• Perform blade setlliting and stiffener repairs technique.
• Remove and install seals, disassemble, and assemble valves, and perform blade ring assembly procedures.
• Repair or rebuild hydrogen seal assemblies and rigging and shipping skid setup.
• Operate the manual grinding, milling, turning, and sawing machinery as required for installation and final fitting of turbine blade seals, and valves.
• Follow and comply with all safety and work rules and regulations.
• All employees are entrusted, empowered, and encouraged to be responsible for attaining the highest quality and maximum value in their work product while providing a positive customer experience.
• May be assigned other tasks where similar or lesser skills are required or where activities are monitored – usually short duration to meet production requirements.

Education and Required Experience

• 10+ years mechanical background with turbine experience a plus
• 5 years basic machining practices.
• Ability to properly operate overhead cranes and lift trucks.
• Solid math skills with the ability to add, subtract, multiply, and divide numbers including decimals and fractions. Simple use of formulas, blueprints, specifications, and tables.
• Capable of using various types of precision measuring instruments.
• Knowledge of design and basic mechanical principles.
• Ability to work from engineering drawings and process drawings
• Pendant crane certified 5 & 10 ton and greater with basic to advanced hitching knowledge.
• Honing and lapping, gland packing, use of radio-controlled bridge cranes, blading, babbiting, radial drill press, turbine alignment, tight wire, and oil seal repair.

Physical Requirements (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.)

The employee must be able to lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include Close vision, Distance vision and Ability to adjust focus. While performing the duties of this job, the employee is regularly required to stand; walk; and use hands to finger, handle, or feel. The employee frequently is required to talk or hear. The employee is occasionally required to sit; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell.

Work Environment

While performing the duties of this job, the employee is regularly exposed to work near moving mechanical parts, fumes, or airborne particles, and toxic or caustic chemicals. The employee is occasionally exposed to work in high, precarious places, and risk of shock. The employee is occasionally exposed to extreme heat, extreme cold and wet, humid conditions. The noise level in the work environment is frequently loud.

Additional Info

Toshiba employees enjoy a comprehensive compensation and benefit package including an annual bonus, a generous 401k match, health, and wellness programs as well as generous time off.

Toshiba is an Equal Opportunity Employer.

Now is a great time to join Nopak, a leader in fluid power located in the Greater Milwaukee Area. As our privately held business undertakes a significant growth initiative, we’re looking for motivated Inside Sales Reps to take the company to the next level! We offer career pathing along with development/mentorship with key stakeholders of the company. This is the perfect opportunity to develop your career, help define process improvement and make your voice heard as we head the next 138 years of manufacturing.

Job Purpose:

We are looking for a talented and competitive Inside Sales Representative that thrives in a fast paced and growing environment. The Inside Sales Representative is responsible for taking a pro-active approach to sales by developing and growing existing accounts through relationship building and meeting all the customers’ needs.

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Communicating with customers, making outbound calls to existing customers and following up on sales quotes
• Understanding customers’ needs and identifying sales opportunities
• Answering customers questions and sending additional information via email
• Conduct sales calls via phone and grow relationships with customers to achieve targeted growth goals
• Provides customers with product details – features, benefits, competitive comparison
• Resolves issues by working with the customer, Inside Sales Manager and/or other departments
• Assist customers with pricing and availability, order processing and order status requests
• Guides customers to utilize tools available to confirm correct product configuration
• Keep up with product and service information and updates
• Work closely with the Inside Sales Manager to identify key targets and gain competitive information
• Explaining and demonstrating features of products and services
• Staying informed about competing products and services
• Closing sales and achieving sales targets

Description of other duties:

Generates sales quotations and handles customer inquiries. Rely on instructions and pre-established guidelines to perform the functions of the job. Works under immediate supervision. An individual in this position must be able to successfully perform the essential duties and responsibilities listed above. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position.

MINIMUM QUALIFICATIONS:

·        Minimum 2+ years of proven sales experience

·        Proficiency in Microsoft Office

·        Good organizational skills and the ability to multitask

·        Requires excellent oral and written communication skills to effectively communicate with customers, employees and management

·        Ability to communicate professionally in written responses to emails, RFQ’s, and report submissions

·        Exceptional customer service skills

·        Strong listening and sales skills

PREFERRED QUALIFICATIONS:

·        Self-Motivated with a proven track record in technical sales

·        Knowledge of hydraulic and pneumatic cylinders

·        Comfortable with technical sales and customer service

·        Strong presentation skills

·        Communicate professionally in both written and verbal responses to emails, RFQs and when submitting reports

·        Ability to eliminate sales obstacles through creative and adaptive approaches

·        Associates degree in Sales, Engineering or equivalent

·        Previous experience in an outbound call center or a related sales position

·        Track record of meeting daily activity goals

·        Experience with using CRM software

We are Toshiba. We have an unwavering drive to make and do things that lead to a better world.

At Toshiba, we commit to raising quality of life for people around the world, ensuring progress that is in harmony with our planet. Our core values are: Do the Right Thing, Look for a Better Way, Always Consider the Impact, and Create Together.

Toshiba America Energy Systems Corporation (TAES) provides energy industry solutions – new equipment, retrofits, maintenance, outage planning and more – for current and future power generation needs in the Americas, including thermal, hydro and nuclear power plants.

Position Summary

We are seeking a 2nd Shift Supervisor (4-10's) to work out of our Milwaukee Service Center. The Shift Supervisor coordinates all operations during the second shift. The Shift Supervisor ensures a smooth workflow, adherence to schedules, and a seamless transition between the first and second shifts. Additionally, this role maintains safety standards, prioritizes work, provides technical support, and assists with troubleshooting as required. The Shift Supervisor enforces policies and procedures and documents employee performance and issues.

Essential Duties

• Collaborate closely with 1st shift managers and lead personnel to ensure seamless transition, continuity of work, and identification of priorities. Facilitate communication and cooperation between shifts.
• Enforce general work rules and company policies consistently and fairly.
• Identify and eliminate barriers to productivity, efficiency, and scheduling. Support team members by ensuring they have the necessary resources to complete their tasks.
• Manage the compliance to all established safety, environmental, and quality procedures and processes.
• Assist in the hiring process for 2nd shift positions, including interviewing candidates and providing input on hiring decisions.
• Perform administrative tasks to support production reports, time management within the data collection system, and quality requirements.
• Assist with loading and of unloading of trucks, deliver materials throughout the shop, assist with crane moves.
• Coordinate with Human Resources for department labor and training needs to meet planned business expectations.

Education and Required Experience

• 2-5 years in Manufacturing or Services environment.
• Bachelor’s Degree in Engineering or Operations is a plus, but not required.
• At least three years of experience as a Lead or Supervisor within a Manufacturing or Services environment.
• Previous shop operations experience with preference in power-generation equipment industry.
• Experience with manufacturing systems, time and data collection systems, planning and scheduling software preferred.
• Strong understanding of EHS regulations and best practices.
• Experience operating fork truck and overhead crane.
• Above average verbal and written communication skills.
• Proficiency in Microsoft Office required (Outlook, Word, Excel).

Physical Requirements (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.)

The employee must be able to lift and/or move up to 25 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include Close vision, Distance vision and Ability to adjust focus. While performing the duties of this job, the employee is regularly required to stand; walk; and use hands to finger, handle, or feel. The employee frequently is required to talk or hear. The employee is occasionally required to sit; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell.

Work Environment

While performing the duties of this job, the employee is regularly exposed to work near moving mechanical parts, fumes, or airborne particles, and toxic or caustic chemicals. The employee is occasionally exposed to work in high, precarious places, and risk of shock. The employee is occasionally exposed to extreme heat, extreme cold and wet, humid conditions. The noise level in the work environment is frequently loud.

Additional Info

Toshiba employee enjoy a comprehensive compensation and benefit package including an annual bonus, a generous 401k match, health and wellness programs as well as generous time off.

Toshiba is an Equal Opportunity Employer.

What You'll Do

Reporting to the General Manager, the Shift Supervisor is responsible for planning and organizing the hour-by-hour activities for 2nd Shift manufacturing associates in two New Berlin facilities to meet the quality, delivery and cost expectations of our customers. Assures all associates work safely and any hazards are resolved quickly. Executes production plans and monitors job run times. Ensures active communication with supporting departments and 1st Shift staff.

Shift start time: 3:00PM

Plant Supervision

• Follow through of Production plan hour by hour, daily activities for manufacturing associates; utilizes the strengths of the Lead personnel to help accomplish goals and workflow
• Provides technical support to the production floor by resolving issues as they arise
• Ensures compliance with daily department schedules to meet shipments on a consistent basis
• Monitors, identifies and documents run times and process improvements of shop and production
• Monitors workflow, oversees and directs production, and audits Job Paperwork, Routings, Log sheets, Process Control Sheets (PCS), Work Instructions (WI) for conformity and accuracy
• Documents workflow, achievements, and notes for 1st shift hand-off
• Communicates and coordinates with Engineering, Quality and other support areas as production issues arise
• Reviews all jobs prior to submittal for final inspection ensuring parts are made to print, parts are properly claimed and part counts are correct
• Ensures operators perform set-ups as required to meet production schedule
• Follows safety policies and procedures and ensures subordinates do the same
• Supports all manufacturing functions including troubleshooting and problem solving in all areas of manufacturing
• Provides recommendations and periodic updates as needed to management regarding the status of production
• Utilize reporting and analytics to make data-driven decisions to meet production needs
• Attending trainings, meetings, and participate in continuous improvement programs

Team Management

• Hold Shop Team accountable to goals and objectives set by the Company and Operations Manager
• Participate in union activities such a contract negotiation, grievances, etc.
• Train and mentor new team members and be an ambassador of our culture
• Delegate job assignments and review workload as necessary
• Maintain employee schedules such as approving time-off & staff coverage
• Collaborate with Human Resources for employee performance discussions, recruitment needs, hiring, and terminations
• Work to resolve interpersonal issues and conflicts as they arise
• Advocate a safe and professional work environment

What You'll Bring

• High School diploma or GED is required
• 5+ years’ experience working in a high mix/low volume metal fabrication manufacturing environment is required
• 3+ years’ experience leading/supervising small groups (Team Leader, Group Leader, Supervisor) is required
• Extensive technical knowledge of how machines (metal forming, machining, welding, general assembly stations) operate is preferred
• Exposure to advanced safety concepts or Lean Management experience is preferred
• Experience in a union manufacturing environment preferred but not required
• Reliable transportation
• Strong interpersonal and problem-solving skills
• Demonstrates high level of Emotional Intelligence when dealing with all levels of the company, clients, and vendors
• Exceptional written and verbal communication skills
• Proficiency in MS Office Suite (Excel, Word, Outlook, PowerPoint) and willingness to learn other software
• Proficient knowledge EPR systems, Epicor preferred
• Ability to build and maintain strong working relationships
• Ability to effectively manage time, multi-task, and pay close attention to details
• Self-motivated professional with the ability to work independently and as part of a team
• Regularly required to move, sit, and bend for various hours throughout the day

Company Description

• Founded in 1975, New Berlin Plastics (NBP) is a family-owned leader in custom injection molding, specializing in high-precision, engineering-grade components. Based in a state-of-the-art, 100,000-square-foot facility in New Berlin, WI, we pride ourselves on being more than just a manufacturer; we are a strategic partner to some of North America’s leading OEMs. At NBP, you aren't just a cog in a machine; you are part of a team that values continuous improvement, technical expertise, and a "solution-first" mindset.

Job Description

• Supervise and coordinate daily activities of the production employees to ensure a quality product is produced to meet on-time delivery goals in a cost-effective and safe manner

Duties and Responsibilities

• Assign and prioritize work to produce products according to the production schedule.
• Ensure company policies, safety procedures, and quality standards are followed by all team members
• Actively coach, train, develop, and counsel employees for personal and professional growth opportunities to continually enhance their skill sets.
• Identifies training gaps and ensures production employees receive all required training in a timely manner and cross-training is completed as needed.
• Works with Manufacturing Manager to identify and implement improvement projects to increase safety, production efficiency, and reduce downtown.
• Perform daily shift audits and monitor scrap, molding and finishing performance to ensure quality and quantity standards are met.
• Maintain a safe and clean work environment by periodic inspections of production equipment, workstations, and plant. Request/direct corrective action as needed.
• Review shift-end reports for transaction errors, inefficiencies, and scrap issues and work to resolve issues through communication, training, or corrective action.
• Provide technical assistance with production/process problems
• Work with Human Resources in staffing activities such as interviewing, hiring, career pathing, and training and development of production employees.
• Maintain good employee relations and continuously monitor employee performance.
• Maintain personnel/attendance records of assigned employees.
• Investigate and document work-related injuries.
• Supervisory Responsibilities: Production Employees, Quality Assurance Auditors
• Other duties as assigned.

Qualifications

• Bachelor’s degree and 5 years of supervisor experience in manufacturing and/or a combination of relevant work experience and education in related field.
• Injection Molding experience preferred
• Demonstrated leadership skills to develop, mentor, motivate, and hold others accountable
• Ability to mitigate teams conflicts and elicit cooperation from a wide variety of sources / cross functional teams.
• Strong problem-solving abilities and continuous improvement mindset.
• Proficient with Enterprise Resource Planning (ERP) software. IQMS a plus.
• Ability to be flexible and responsive to changing scheduling requirements.
• Basic proficiency with Microsoft Office (Word, Excel, Outlook)
• License or Certificate Suggested: Forklift

Physical & Work Environmental Requirements

• The physical demands 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 physical disabilities to perform the essential functions.
• Employee is frequently required to stand; use of hands to fingers, talk, and hear. The employee is occasionally required to walk; sit; and stoop, or kneel. Specific vision requires include close vision and color vision.
• Manufacturing and office environment. Safety glasses required in the plant.

All your information will be kept confidential according to EEO guidelines.

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