Riverfront Machine Jobs in Usa

Principal Research Scientist – AI & Machine Learning

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.

We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.

Responsibilities:

• Serve as PI or co-PI on government-funded R&D programs.

• Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.

• Publish, present, and contribute thought leadership to the AI community.

• Mentor research staff and guide proposal development.

Requirements:

• PhD with 7+ years of research experience.

• Demonstrated leadership in ML, vision, or scientific computing.

• Record of funding, publications, and technical impact.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with multimodal learning, uncertainty quantification, or causal inference.

Why Novateur?

Join a team that values creativity and initiative. At Novateur, you’ll lead transformative projects that redefine what’s possible in intelligent systems.

Company Benefits:

Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.

We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Job description: Every day, ANDRITZ continues to deliver successful innovative solutions to our customers globally. Why are we so successful? Because we are passionate and love what we do! We are at the forefront of future engineering technologies, with solutions that ensure the success of our clients in key industries that are shaping the future of the world we live in.

GENERAL SCOPE OF RESPONSIBILITIES

A customer service representative supports both internal customers (product managers, account managers, production, and finance staff) and external customers with all steps in the sales cycle; from helping to identify required parts or resources to preparing offers (quotes), processing orders, and resolution of after order issues.

NATURE AND SCOPE:

• Provide Customer Service support to our customers, Sales Area Managers, Product Managers and Regional Sales entities;
• Interact with internal / external customers to provide information response to inquiries about products and services.
• handle and resolve questions / concerns
• provide information about the organization’s products and service
• generate quotes and process orders as requested by Product Managers, Sales Area Manager, and customers
• enter and ensure proper handling of all orders
• maintain customer pricing based on guidance from product managers
• coordinate delivery and purchase order requirements with Logistics Department,
• communicate special shipment dates and date changes to the Regional Sales entities, Sales Area Managers, and/or customers
• Other duties as assigned by Supervisor or Managers.

REPORTING RELATIONSHIPS:

Line: Customer Service Manager, Paper Machine Service

Coordination with: engineering, production groups, field sales (SAMs), and finance

SUPERVISION RECEIVED:

The employee carries out the work within guidelines such as objectives, definitions with minimal oversight. Works with moderate supervision.

SUPERVISORY RESPONSIBILITIES:

Line: None

POSITION REQUIREMENTS

• College degree and/or equivalent experience
• Manufacturing Experience a plus
• Self-starter capable of working with minimum supervision.
• Extremely thorough organizational and planning skills.
• Strong knowledge of customer service and establishing contacts.
• Ability to handle numerous projects at one time.
• Excellent written and verbal communication skills.
• Ability to develop close professional relationships
• Ability to research and review technical drawings and documents.
• Very strong computer skills (Word, Excel, PowerPoint)
• Some ERP experience (SAP experience a plus)
• Ability to [learn to] read and interpret engineering drawings.
• Ability to work independently and handle high volume email traffic
• *This is not a call center position

LANGUAGE ABILITY:

Ability to read and comprehend instructions, engineering drawings, correspondence, and memos. Ability to write effective correspondence. Ability to effectively transfer information in one-on-one and small group situations to customers, vendors, and other employees of the organization.

EFFORT & WORKING CONDITIONS

Working conditions can include production/fabrication facilities, paper mills, and offices.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

About Pinterest:

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

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Content Understanding team builds machine learning models that "read" Pinterest content-images, text, and video-to produce high-quality semantic signals (e.g., embeddings, localization, quality/safety labels). These signals power relevance and retrieval for Homefeed, Search, Related Pins, and Ads, and also support integrity use cases like spam and low-quality detection. We work end-to-end: from data and labeling strategy, to model training and evaluation, to low-latency serving and monitoring at Pinterest scale. The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams.

What you'll do:

• 
  
• Lead modeling strategy for content understanding (vision, NLP, multimodal), including architecture selection, training approach, and evaluation methodology.
  
• Design and ship production models that generate content signals such as embeddings and classifications used across multiple product surfaces.
  
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
  
• Partner with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
  
• Collaborate with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
  
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.
  

What we're looking for:

• 
  
• M.S/ PhD degree in Computer Science, Statistics or related field.
  
• Significant industry experience building software and ML pipelines/systems, including technical leadership (project/tech lead or equivalent).
  
• Strong proficiency in Python and at least one ML stack such as PyTorch / TensorFlow, plus solid software engineering fundamentals.
  
• Proven experience training and deploying ML models to production, including model versioning, rollouts, monitoring, and retraining strategies.
  
• Deep hands-on experience in content understanding domains, such as:
  
  • 
    
  • computer vision (classification, detection, representation learning),
    
  • NLP (text classification, entity/topic modeling),
    
  • multimodal / embedding models (e.g., transformer-based representations).
    
  
  
• Experience working with large-scale datasets and distributed compute (e.g., Spark-like ecosystems, distributed training, GPU environments).
  
• Strong applied skills in evaluation and experimentation: defining metrics, offline/online alignment, A/B testing, debugging regressions, and model quality analysis.
  
• Demonstrated ability to influence across teams and drive ambiguous problem areas to measurable outcomes.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
  

#LI-REMOTE

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

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

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

We are seeking a Machine Learning Engineer to build out our simulation and AI capabilities. You'll design and implement systems that model the CTV advertising ecosystem - auction dynamics, bidding strategies, campaign outcomes, and counterfactual scenarios - and develop AI-driven tools that accelerate how we build, test, and deploy ML systems.

What you'll do:

• 
  
• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition
  
• Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms offline
  
• Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments
  
• Use LLMs and generative AI to accelerate internal ML workflows - synthetic data generation, code generation, automated analysis, and rapid prototyping
  
• Use simulation to de-risk ML model deployments - validate new bidding and optimization strategies before they touch live traffic
  
• Define the technical direction for simulation and AI infrastructure and mentor engineers on the team
  

What we're looking for:

• 
  
• Strong production Python skills and experience building simulation or modeling systems
  
• Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  
• Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows - and good judgment about when they help vs. when they don't
  
• Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  
• Ability to translate business questions ("what happens if we change our bid strategy?") into rigorous simulation frameworks
  
• Clear written communication: you'll be defining new technical directions and need to bring others along
  
• Ownership: you scope, design, and ship systems end-to-end with minimal direction
  
• Nice-to-Haves:
  
  • 
    
  • Causal inference - uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Experience with discrete event simulation, Monte Carlo methods, or digital twins
    
  • Reinforcement learning - using simulated environments for policy learning and evaluation
    
  • Experience building agentic AI systems or multi-agent simulations
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • MLOps experience - model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

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

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, Disney+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes.

What you'll do:

• 
  
• Write production Python that powers real-time bidding, model training, and campaign optimization
  
• Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second
  
• Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend
  
• Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution
  
• Use LLMs and generative AI to build internal tools that accelerate how we develop, test, and ship ML systems
  
• Serve as a technical lead and mentor on a distributed engineering team
  

What we're looking for:

• 
  
• Strong production Python skills: you write code that runs in prod, not just notebooks
  
• Solid statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones
  
• Familiarity with modern AI tools and good judgment about where they add value
  
• Adtech or CTV experience: familiarity with RTB, programmatic advertising, supply-path optimization
  
• Clear written communication: we're a distributed team and writing is how decisions get made
  
• Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping
  
• Nice-to-Haves:
  
  • 
    
  • Teaching experience
    
  • Causal inference: uplift modeling, synthetic controls, difference-in-differences, or incrementality testing
    
  • Big data experience with Scala and Spark
    
  • Systems programming experience in Zig or similar (C, C++, Rust)
    
  • Reinforcement learning or bandit algorithms in production
    
  • Experience building agentic AI systems or LLM-powered workflows
    
  • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

HIRING FOR ADVANCED MACHINE OPERATOR ROLES!

APC offers state-of-the-art equipment in a climate-controlled environment that has been named "Best of the Best" in the Best Workplaces in the America's for 12 years in a row!

WAGES STARTING AT:

* $25.46 + PER HOUR

* $3.00 PER HOUR NIGHT SHIFT DIFFERENTIAL

American Packaging Corporation offers an industry-leading benefits package:

* Medical/Health Insurance

* Dental - Employer Paid

* Vision - Employer Paid

* Short Term Disability - Employer Paid

* Long Term Disability - Employer Paid

* FSA - Health and/or Childcare

* Paid Holidays - 11

* PTO

* 401 (k) - lucrative employer matching

* Bonuses including yearly holiday, 401k and quarterly production

Benefit eligibility begins in the first 60 days of employment

Experienced Manufacturing Candidates- APPLY TODAY!

12-hour shift on a 2-2-3 Schedule

Day & Night Shift Available

Cedar City Location: Reliably commute (Required)

Manufacturing: 1+ year (Required)

For over a century, American Packaging Corporation (APC) has been a leading flexible packaging converter for customers throughout North America. We nurture our employees by providing competitive salaries, excellent benefits, 401(k) plans and tuition reimbursement programs. These are just a few reasons why we were named a "Best of the Best" in the Best Workplaces in the Americas awards for 12 years in a row. APC's longstanding success is fueled from the inside out, and we consistently seek to improve our internal operations to propel that success into the future. ?Apply now and join a company that cares about you, your family, and your career!?

QUALIFICATION REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and/or EXPERIENCE: High school diploma or general education degree (GED) required. Previous manufacturing experience preferred.

LANGUAGE SKILLS

Ability to read and comprehend simple instructions, short correspondence, and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients, and other employees of the organization. Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals.

MATHEMATICAL SKILLS

Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs.

REASONING ABILITY

Ability to apply common sense understanding to carry out detailed but uninvolved written or oral instructions. Ability to deal with problems involving a few concrete variables in standardized situations.

PHYSICAL DEMANDS

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. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand; use hands to finger, handle, or feel; and talk or hear. The employee is occasionally required to walk and reach with hands and arms. This position may require manual lifting not to exceed 50 lbs - reference your department-specific JHA (job hazard analysis) for departmental lifting restrictions. Specific vision abilities required by this job include close vision, color vision, and ability to adjust focus.

WORK ENVIRONMENT

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts. The employee is occasionally exposed to airborne particles and vibration. The noise level in the work environment is usually moderate.

American Packaging Corporation is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. American Packaging Corporation will make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodation would impose an undue hardship on the operation of our business. EOE/AA Disability/Veteran.

If you are interested in applying for an employment opportunity and need special assistance or an accommodation to apply for a posted position, please contact our Human Resources department at:

.

• Non-union plant employing 280 employees across 3 shifts.
• Purchased in 1934 from Breyer's Ice Cream and began producing caramel in 1935.
• Began producing Marshmallows and Marshmallow Crme in 1961 and Marbits (think dehydrated marshmallows found in cereal) in 1979.
• Kendallville is the sole producer of all our product lines.

• Kendallville is located about 30 minutes north of Fort Wayne and offers a small-town community.

• Perform set-up, start-up and changeover procedures for the equipment as needed.
• Assist in troubleshooting issues with line performance as it relates to equipment operation.
• Accurately maintain downtime records during line operation.
• Perform sanitation duties for production and periodic sanitation work as assigned.
• Responsible for conducting and accurately documenting quality checks.
• Responsible for monitoring and communicating any process or product abnormalities to your Supervisor, Team Leader, or Line Technician.
• Responsible for communicating with previous and next shift regarding any concerns or watch outs.
• Perform all other duties as assigned by the Supervisor or Team Leader.

• Self-motivated and strong drive for results.
• Use simple mathematics.
• Lift 50 pounds.
• Able to work in areas that contain dust and starch particles.
• Able to work in hot and humid conditions.
• Basic knowledge of manufacturing and/or food processing, quality standards, hygiene, work safety, etc. preferred.

• Starting Pay: $20.55- $27.00 per hour
• Annual Bonus Program
• 12 Paid Holidays per Year
• Paid vacation - up to 2 weeks in your first year
• Medical with (HRA) Health Reimbursement Account or (HSA) Health Savings Account, Dental, and Vision insurance
• 401k with company match
• Additional perks: Paid Parental Leave, Discoun25ted YMCA Membership, Product Purchase Program, Employee Assistance Program
• Starting Pay: $20.55- $27.00 per hour

• 2nd (M-F, 2:30pm-10:30pm) shift or 3rd (S-Th, 10:30pm-6:30am) shift
• Daily/Weekly overtime possible

• Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments
• Social - Paid Time Off, Company Holidays, Leave of Absence, Recognition, Training
• Emotional - Employee Assistance Program , Wellbeing Programs, Family Support Programs
• Financial - 401k, Life, Accidental Death & Dismemberment, Disability

Role and Responsibilities

Heavy machinery manufacturing and operation of designated and assigned equipment and machinery including but not limited to roll forming, press operation, milling, manufacturing fabrication, welding, cutting, routing, molding, extrusion, etc.

Entry level production manufacturer of sectional and rolling doors and door components.

Manufacture products and components according to product specifications, drawings, BOM's, work orders and / or run schedules.

Ensure product specification and product quality by following established procedures, SOP's, maintaining of proper settings, and quality standards.

Verify product specification and product quality through inspection, observation, and measuring work pieces.

Adjust machine / equipment performance to meet product specifications and quality standards.

Utilize hand and power tools, cranes, and other material handling devices for manufacturing assistance.

Fabricate and assemble sectional and rolling doors sections and component materials as required by the job.

Qualifications

Industrial manufacturing experience desired.

Able to read and understand work instructions in English.

Ability to add, subtract, multiply, and divide in all units of measure.

Experience with micrometers and other measuring devices.

Roll Forming experience is a plus.

Education

Preferred High School Diploma or GED.

Physical / Work Environment Requirements

* Frequent bending, pushing / pulling, reaching and lifting periodically up to 75 pounds.

* Regularly lifting up to 35 -50 pounds

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