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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.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

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

#LI-SA1

#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.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#LI-HYBRID

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.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

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

#LI-HYBRID

#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:

The Marwood Group is a healthcare advisory services firm headquartered in New York City with offices in Washington, DC, and London. The Healthcare Advisory Group advises and consults with the firm's private equity and corporate clients on healthcare policy, strategy, and market analysis issues. Areas of focus include Medicare, Medicaid, commercial insurance, worker's compensation, and clinical compliance. Marwood operates at the intersection of Wall Street and Washington, with experienced professionals from top banking, consulting, and healthcare operations firms, as well as senior political and governmental positions.

The Advisory Group is currently accepting applications for a Certified Coding Auditor to work in its New York office or remotely.

Principal duties and responsibilities:

Perform remote billing and coding audits to ensure client coding practices are compliant with regulations and coverage policies for both government and commercial payers.

Researching state and payer regulations to identify areas of risk in a variety of healthcare settings and specialties, coordinating with various team members to ensure clear expectations are communicated and deadlines are met.

Qualifications:

CPC/CCS-P with a minimum of 5 years of experience in healthcare coding/auditing (E&M, CPT, HCPCS and ICD-10), with knowledge of professional billing, coding, and documentation practices performed by physicians and other qualified healthcare providers in inpatient and outpatient settings.

Proficiency in evaluating how well clinical documentation supports medical necessity and the E/M, CPT, and HCPCS codes that were billed, across a wide range of services. The focus will be in the primary care sector (fee-for-service and risk-based), though experience in specialties such as dermatology, vascular, podiatry, wound care, home health, and personal care is preferred. Behavioral health experience is also a plus.

Proven ability to identify billing and coding issues including use of modifiers, bundling issues, CCI edits, therapeutic and diagnostic procedures, supplies, materials, injections, drugs, and units of service etc.

Solid understanding of both federal and state coding and documentation laws and regulations, applicable fraud statutes and regulations, and of federal guidelines on recoupments and other anti-FWA activity. Identify and access risk of repayment or recoupment in the event of payor scrutiny.

Familiarity with both UB-04 and CMS 1500 claims data, as well as understanding of payor remittances.

Knowledge of anatomy, physiology, and medical terminology necessary to appropriately review assignment and documentation of diagnosis codes.

Solid working knowledge of various EHR/EMR systems; experience accessing these remotely.

Strong organizational skills and task management

Highly organized with a high level of attention to detail

Ability to work in a fast paced and rapidly changing environment.

Skilled at multi-tasking with the ability to handle several different priorities simultaneously.

Strong communication skills with experience in articulating audit findings and interpretation of coding regulations

Experience with HIPAA, data privacy, and/or data security processes.

Experience working with regulators governing (public or private) health insurance carriers.

A minimum of AAPC or AHIMA certification required, that could include:

· Certified Professional Coder (CPC)

· Certified Outpatient Coder (COCTM)

· Certified Professional Medical Auditor (CPMA)

· Certified Risk Adjustment Coder (CRCTM)

· Certified Coding Specialist (CCS)

· Certified Coding Specialist – Physician based (CCS-P)

For consideration, please email resume and cover letter as attachments with salary expectations to with the subject title "Certified Coding Auditor - Behavioral Health."

Marwood offers a comprehensive compensation package with full benefits. We offer a competitive wage, a collaborative work environment and an opportunity to participate in a full benefit package, including, Medical, Dental, Vision, Life, AD&D, Voluntary Life and LTD, Spouse and Dependent Life, 401k Retirement plan with a company match, Commuter, FSA/DCFSA. We offer paid days off, and paid holidays. Marwood prides itself on providing employees with a good work-life balance. There is no travel expected with this position.

The position is based in our New York location. Currently working a hybrid schedule. Remote option will be considered.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.

Full Time, Permanent, Immediate Start Position

Position Details:

• Average $1,100 to $1,300 Weekly
• Stop Pay $25
• Short Hauls $25 (For loads under 100 Miles)
• Home every Weekend
• Always within a days trip home
• Home Periodically throughout the week
• Holiday Work Optional
• 53' Dry Van - No Touch Deliveries
• Route Runs: West down the I-5. Will also run into Eastern WA, ID and parts of NV
• Average 2,500 Miles Per Week
• Weekly Pay via Direct Deposit
• Great Benefits

• Must be at least 21 years of age
• No experience required (Must have Class A CDL)
• Must be ok with working weekends
• Must live within 150 miles of Saint Louis, MO

• Medical
• Dental
• Vision
• PTO
• 401K

• Competitive base rate - $22.00-$32.20/ hour depending on experience.15% shift differential.
• Medical/Prescription Drug/Dental/Vision Benefits on Day 1 of employment
• 401(k) Retirement Savings Plan
  • 4.5% company match if you contribute at least 5%
• Quarterly Bonus potential
• Paid Time Off (PTO)
• 8 company paid holidays per year
• Employer paid Life Insurance, AD & D plus optional coverage for yourself, spouse and child(ren)
• Employee Assistance Program
• MN Paid Leave/and/or Short-Term Disability provided by ARCH
• $1,000 Sign on Bonus

• Inspects products during the machining operation to determine if parts meet specifications, complying with established standards and methods for inspection, testing, evaluation and calibration
• Follow all job work order instructions
• Must be able to run more than one machine where cycle time permits
• Complete all required shop floor documentation for the job including both part-dimensional and visual inspection
• Maintain equipment by completing preventive maintenance requirements; following manufacturer's instructions; troubleshooting malfunctions; reports to management/maintenance the need for machine repairs
• Understands and comply with company policy safety guidelines, quality systems requirements and housekeeping standards

• High school diploma or GED equivalent
• Due to contractual requirements, this position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.

• Machine Tool Technology degree (completed or pursuing)
• A minimum of 1 years' experience operating a CNC Lathe machine
• Strong mechanical aptitude
• Ability to read and understand blueprints
• Strong attention to detail
• Effective verbal and written communication skills