Sifter Machine Jobs in Usa

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.

Pinterest helps Pinners discover and do what they love. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team's technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest's topline metrics.

What you'll do:

• 
  
• Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
  
• Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
  
• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
  
• Help the team solve difficult technical challenges such as:
  
  • 
    
  • How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
    
  • How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
    
  • How to identify and remove biases from existing recommendation systems?
    
  • How to experiment with and measure the impact of content acquisition changes on the user experience?
    
  • How to enhance the titles of new content to increase their engagement?
    
  
  

What we're looking for:

• 
  
• 7+ years of industry experience, including 2+ years of management experience.
  
• Experience with:
  
  • 
    
  • developing and deploying large-scale machine learning systems in search and recommendations.
    
  • big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
    
  • applying NLP models and LLMs to content understanding and recommendation systems.
    
  
  
• Experience building and leading high performing teams within a visible business vertical .
  
• Experience working with numerous cross functional partners to drive a collective initiative.
  
• Bachelors degree in a technical field, or equivalent work experience.
  

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-DM57

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:

• 
  
• Work under the direction of the Group Leader, and with limited supervision, perform various finishing operations on a variety of machined parts having close tolerance specifications. Employ 5S and Lean Manufacturing skills in every day work practices.
  
• Work from blueprints and verbal/written work instructions, set up tools and machinery needed to perform deburr and secondary operations on piece parts. This includes but is not limited to hand deburring, drilling, tapping, sand blasting, tumble deburring, and Passivation (Stainless Steel cleaning process).
  
• Perform repetitive deburring, polishing, grinding, and buffing operations on standard piece parts to achieve finish specifications.
  
• Set up, adjust and operate various types of drill press equipment to perform difficult and intricate drilling, tapping and counter-bore operations. Perform general shop work such as drilling, machining and sanding.
  
• Obtain and maintain certification to perform Passivation, abrasive blasting, and Molykote or Dry Film Lube application.
  
• Examine and inspect piece parts to ensure conformance to specifications as per operator acceptance program (OAP).
  

US-ME-Bath

Type: Regular Full-Time

Category: Manufacturing

Salary Grade: ..

Shift: ALL

Overview

The pay range for this position ranges from $30.04/hr - $33.36/hr. Install of ships equipment which includes general machinery, main machinery, weapons systems, remote operating gear etc. which involves layout, tacking, grinding, drilling, reaming, spot facing, bolting, torqueing, testing etc. (but not limited to). And/or Responsible for safely activating, testing and operating of ships, main propulsion and auxiliary systems in accordance with approved procedures, practices and policies. Responsible to comply with approved Departmental Operating Instructions. Read and interpret test memos. Participate in sea trials and work list ship systems to provide direction to the construction mechanics.

Responsibilities

High School Diploma or GED preferred. Experience using basic shop tools, tacking, hand tools, torqueing and portable drilling tools. 2 years Trade or Technical schooling in a mechanical field, or at least 3 years of experience working in a mechanical Field And/or Any of the following: Valid USCG engine license or QMED certification for steam, motor or gas turbine engines A minimum of 3 years Navy or Coast Guard experience in engineering position, minimum E4 pay grade A minimum of 3 years successfully operating and testing shipboard systems

Qualifications

Required - Must be able to read blueprints in detail. Required - Must be able to do layout, read measuring tools, tape measure, inside and outside micrometers, Vernier or dial calipers, and perform simple math calculations. Preferred - Knowledge of equipment alignment, machining, torqueing methods. Preferred - Gas Turbine operating experience Preferred - Hydrostatic flushing and testing systems. Required - Must meet the requirements of the O04 physical task analysis.

We are currently assisting our client, an industrial manufacturer, with a Machine Design Engineering search in the Stow, OH area.

Responsibilities:

• Will be responsible for the design and development of comprehensive machinery and automated systems.
• Engage in collaboration with Project Managers and Engineers to ensure all functional requirements are fulfilled.
• Oversee projects from the initial concept stage through to successful manufacturing.

Key Requirements:

• Proven experience in machine and equipment design.
• Proficiency in 3D CAD software.
• Ability to develop a concept into manufacturing

Additional Information:

• All information will be kept strictly confidential
• Applications will not be considered without a Resume/Curriculum Vitae which includes contact information

Who we are:

• JMI Recruiting Services is a third party search firm that strategically partners with our clients to recruit exceptional talent nationwide. Our customers include Fortune 500, private equity firms, and privately held companies. With our proven process, excellent track record, and willingness to outwork the competition, we consistently deliver quantifiable results.

Machine Builder – 3 Openings (2 Integration, 1 Sub‑Assembly)

Location: Clinton Township, MI

Schedule: Full-time, Onsite

Type: Long-Term Contract

Requirements: Must pass drug screen and background check

About the Role

We are seeking skilled Mechanical Machine Builders—2 Integration Builders and 1 Sub‑Assembly Builder—to join our team supporting automotive equipment build and installation projects. This role requires the ability to work independently with minimal supervision while delivering high‑quality workmanship.

Key Responsibilities

• Perform mechanical integration and sub‑assembly work for automotive OEM projects (Chrysler, Ford, GM).
• Work independently on medium-complexity mechanical build projects.
• Follow equipment installation through all phases, from in-house build to customer-site installation.
• Assist the project team in resolving technical issues or build concerns.
• Read and interpret blueprints, mechanical drawings, and BOMs.
• Update and submit weekly E‑BOM summaries to the Mechanical Supervisor.
• Verify all parts and assemblies conform to specifications and engineering documentation.
• Maintain project schedules, track open issues, and meet deadlines.
• Follow all safety, environmental, and quality system procedures.
• Maintain a clean, organized work area.
• Utilize rigging and crane equipment safely and effectively.
• Perform basic welding as required.
• Provide and maintain own tools and PPE.

Qualifications

• Education: One-year certificate from a college or technical school; or
• 5 years of related mechanical assembly experience; or
• Equivalent combination of education and experience.
• Strong understanding of automotive industry build practices.
• Proficient with standard mechanical tools, rigging, and overhead cranes.
• Ability to work with minimal supervision while maintaining high-quality output.
• Reliable, consistent, and punctual attendance is essential.

Additional Details

• This role requires 100% onsite work.
• Long-term contract opportunity with full-time hours.
• Candidates must successfully pass drug screening and background checks.

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.

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: