Example Applied Force Jobs in Usa

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Open date: January 26, 2026

Most recent review date: Monday, Feb 9, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Haas School of Business at the University of California, Berkeley is seeking highly motivated individuals for the position of Junior or Assistant Specialist. This role will involve close collaboration on a number of research projects in one of the following two areas:

Area 1:

Applied microeconomics focusing on innovation, political economy, public finance, and industrial organization. The candidate would work at the Haas School of Business under the supervision of Business & Public Policy (BPP) Assistant Professor, Cailin Slattery, and Economic Analysis & Policy (EAP) Assistant Professor, Carolyn Stein.

Area 2:

Applied microeconomics focusing on health care, labor, productivity, and equity. The candidate would work at the Haas School of Business under the supervision of Economic Analysis & Policy (EAP) Professor, David Chan.

Examples of their research can be found in the links section.

General Duties:

* Research Design & Methodology: Participate in all stages of the research process, from literature reviews and hypothesis formulation to the design and interpretation of econometric analyses. This includes applying methods of causal inference and structural or reduced-form econometrics.

* Data Lifecycle Management: Manage, manipulate, and clean large-scale datasets. Identify and resolve technical problems or coding errors to ensure data integrity from ingestion to analysis.

* Technical Programming: Write efficient, collaborative, and replicable computer code to implement analyses. Maintain version-controlled codebases that facilitate team collaboration and project transparency.

* Documentation & Replication: Maintain rigorous documentation of all work. Lead the creation of comprehensive replication packages and technical appendices to ensure research findings are verifiable.

* Output & Publication: Assist in the preparation of research manuscripts and project reports. Design and generate high-quality tables, graphs, and visualizations for publication.

* Project Coordination: Facilitate project momentum by running team meetings and monitoring statistical deliverables to ensure they meet quality assurance standards.

Unit:

Unit:

Unit: faculty/david-chan/

The minimum qualification to be enrolled in a Bachelor's Degree, or equivalent international degree program at time of application.

A Bachelor's Degree, or equivalent international degree at the start of appointment.

The position is ideal for someone with a serious interest in economics research and an intention to apply to graduate school in economics or a related field.

Successful candidates have:

* Strong communication skills

* Strong quantitative background

* Attention to detail

* Strong programming skills

* Ability to work independently and in teams

* Prior work experience in research or industry is a plus

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter - Please indicate which research project you are applying for:

  
  
  

  Area 1:
  
  Applied microeconomics focusing on innovation, political economy, public finance, and industrial organization. The candidate would work at the Haas School of Business under the supervision of Business & Public Policy (BPP) Assistant Professor, Cailin Slattery, and Economic Analysis & Policy (EAP) Assistant Professor, Carolyn Stein.

  
  
  

  Area 2:
  
  Applied microeconomics involving close collaboration on a number of research projects in focusing on health care, labor, productivity, and equity. The candidate would work at the Haas School of Business under the supervision of Economic Analysis & Policy (EAP) Professor, David Chan.

  
  

• 1-3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Research Engineer – Applied 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 seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems.

Responsibilities:

• Prototype and optimize algorithms in computer vision and machine learning.

• Build scalable training and inference pipelines on cloud platforms (AWS EKS).

• Perform data curation, model evaluation, and system integration.

• Collaborate with academic and government research partners.

Requirements:

• BS or MS in Computer Science, Engineering, Applied Math, or related field.

• Experience with PyTorch or TensorFlow and scalable model training.

• Strong background in algorithms and software design.

• Excellent communication and technical writing skills.

• U.S. Citizen or Permanent Resident.

Preferred:

• Experience with geospatial data (PostGIS, GeoJSON, QGIS).

• Familiarity with Kubernetes and distributed data systems.

Why Novateur?

Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.

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 the Job:

The Applied Analytics Analyst serves as the technical anchor of the Strategic Resource Group. This role is responsible for translating complex business and market questions into structured, executable data outputs using Trilliant Health’s proprietary claims, provider directory, and price transparency datasets.

The Applied Analytics Analyst owns feasibility validation, analytical methodology design, and data integrity across research initiatives and pre-sales support. This individual combines strong technical proficiency with healthcare domain expertise and plays a critical role in standardizing how recurring strategic questions are answered across the organization.

You are our ideal candidate if you:

• Design and execute complex SQL queries and data builds from Trilliant’s data warehouse
• Capture and maintain documentation outlining how and why analytical frameworks are applied to support consistency and institutional knowledge retention
• Validate data integrity and identify gaps, missingness, structural limitations, or edge cases
• Own technical feasibility assessments for research and pre-sales opportunities
• Develop repeatable analytical frameworks for common strategic use cases
• Support research initiatives through structured dataset construction and methodological validation
• Create reusable datasets, templates, and documentation to reduce institutional knowledge concentration
• Maintain high standards of quality control and analytical rigor across all deliverables
• Interface effectively with Sales, SRG, Research, Product, and Data Engineering teams
• Respond to ambiguity with structured problem solving and professional judgment

Technical Skills:

• Advanced proficiency in SQL and experience querying large data warehouses
• Experience working in Databricks or similar environments preferred
• Strong proficiency in Excel and PowerPoint
• Familiarity with Tableau or other BI tools
• Experience working with complex healthcare claims datasets required

Other Skills:

• Strong analytical and critical thinking skills
• Ability to synthesize large datasets into structured outputs
• Excellent documentation and organizational skills
• Strong written and verbal communication skills
• Ability to work independently with minimal supervision
• High attention to detail and commitment to data quality

Position Location:

This position is onsite in Brentwood, TN

*We are unable to provide visa sponsorships for this role.

About Trilliant Health:

Trilliant Health is a high-growth, healthcare technology company. We are on a mission to be the most trusted advisor, dependable partner and provider of analytic insights to key stakeholders in the health economy enabling them to maximize return on invested capital. We do that by providing education and expertise through thought leadership, evidence-based strategy, and predictive analytics. We are looking to grow our team as we strive to influence positive change in healthcare by disrupting the status quo and promoting improved decision-making.

Applied Mental Health Research Assistant

Remote (US – EST hours) or Remote/Hybrid (Cambridge, UK)

Full-Time | Entry-Level | Industry Research

Help shape the future of mental health care.

Our mission is simple but powerful to help people feel better and live fuller lives by making trusted mental-health support accessible to everyone. We are redefining care through innovative, AI-enabled solutions that go beyond today’s capabilities to create meaningful, lasting change.

We’re looking for an early-career researcher who is ready to take their academic training into a fast-moving industry environment. This is a rare opportunity to gain hands-on experience across the full research lifecycle while working alongside experienced clinical and research leaders.

If you enjoy being organised, proactive, and deeply involved in research from concept through to publication this role is for you.

Why Join Us?

• Work across the entire evidence lifecycle in an applied industry setting
• Gain exposure to research requirements for regulators, healthcare partners, and payers
• Develop practical experience in AI safety and clinical governance
• Receive mentorship from a Director of Evidence Generation (PhD Neuroscience) and Head of Clinical (PhD Clinical Psychology)
• Build a strong foundation for future doctoral training

What You’ll Be Doing

Research Operations & Coordination

• Coordinate study activities, timelines, and communications
• Maintain regulatory documentation and version control
• Prepare ethics and governance submissions
• Support data management and research processes

Research Delivery

• Assist with study design and clinical evaluations
• Conduct literature reviews to support protocols and claims
• Collect and manage research data
• Support real-world implementations such as survey deployment
• Engage with lived-experience partners

Analysis & Scientific Communication

• Analyse qualitative and quantitative data
• Prepare internal reports and research summaries
• Contribute to peer-reviewed publications

Clinical Safety Monitoring

• Review safety dashboards and AI-generated outputs under supervision
• Identify trends and flag potential risks in line with protocols

(All clinical monitoring is supervised by a licensed Clinical Psychologist — this role does not involve independent clinical decision-making.)

What We’re Looking For

Essential

• Master’s degree in Psychology, Neuroscience, Mental Health Science, Social Work, or related field
• Experience conducting human-subjects research
• Exceptional organisation and attention to detail
• Proactive mindset with the confidence to take initiative
• Strong scientific writing and communication skills
• Understanding of research ethics and Good Clinical Practice

Desirable

• Exposure to mental health populations through placements, volunteering, or paid roles
• Experience across multiple stages of the research lifecycle
• Familiarity with qualitative methods
• Understanding of mental health in chronic health conditions
• Experience working with patient involvement or lived-experience groups

Who Thrives Here?

You’ll succeed in this role if you:

• Take initiative and naturally step in where needed
• Are comfortable managing multiple moving parts
• Enjoy the operational side of research as much as the scientific thinking
• Are eager to learn and ask questions
• Want to build real-world confidence quickly

If you’re ready to apply your research skills in a role that genuinely impacts lives — we’d love to hear from you.

Apply now and help us transform the future of mental health care.

Please add a cover letter to the front page of your CV.

The opportunity

Unity's Vector AI team sits at the intersection of large-scale machine learning and real-world impact: our models govern ad ranking and bidding decisions across billions of daily impressions. Get the models right so players can discover games they love.

We're looking for an Applied Scientist with experience on user understanding, sequence modeling, and/or conversion prediction.

What you'll be doing

• Design and ship user behavior models that directly influence ad ranking, bidding, and conversion outcomes across billions of impressions.
• Own model quality from deployment onward: calibration, drift detection, and feedback loop management.
• Shape how the team builds, contributing to long-term technical strategy and overseeing engineering execution.
• Bridge the gap between ML complexity and business reality, communicating clearly with non-technical partners.

What we're looking for

• Ph.D. in Computer Science, Machine Learning, Statistics, related fields, or equivalent practical experience.
• 2+ years of hands-on experience designing, building, and operating ML systems at scale in ads, search, recommendations, or related domains.
• Deep familiarity with at least one of: CVR/CTR prediction, auction theory, user modeling, or sequential recommendation.
• Production experience in Python and at least one systems language (Go, Scala, C++, or similar).
• Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
• Knowledge of metric design, experimentation methodologies, and large-scale data.

You might also have

• Experience with real-time bidding systems, auction dynamics, or marketplace optimization.
• Publications or patents in relevant areas.

Additional information

Relocation support is not available for this position

Benefits

At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at

Los Angeles, CA / New York, NY

Consulting GenAI / Full-time / On-site

Qvest.US is seeking an experienced Project Manager in Technical Delivery, GenAI, and Change Management to join our growing GenAI practice. In this role, you will lead several technology and business consulting projects ranging from the implementation of AI solutions, to the formulation of organizational and AI process strategy, to PMO establishment. You will drive effective change management to ensure successful adoption, stakeholder alignment, and sustained value delivery. We are looking for an organized and industrious leader who will motivate teams and directly contribute to our growth.

• Lead project teams through all core project phases of GenAI implementation, including project setup, requirements gathering, design, development, testing and deployment.
• Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations.
• Proactively identify risks and issues, and provide mitigation strategies.
• Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.

• 5-7+ years System Implementation, SDLC, Integration, and Project Management experience
• Experience implementing AI/ML/GenAI systems
• 3+ years in consulting / professional services, big firm experience preferred
• 2+ years of experience with organizational change management (OCM), including creating strategies to shepherd an organization and stakeholders through a large-scale change
• Experience managing teams through client-facing activities such as requirements gathering, stakeholder workshops, and deliverable review/approval sessions
• Experience in project planning, including building and managing to project plans, budgeting, resource allocation, and reporting status to clients and internal teams
• Trained on process and/or technology methodologies (e.g. Lean Process Improvement, Six Sigma, Agile implementation, Waterfall model)
• System development life cycle (SDLC) experience
• Experience with presentation and spreadsheet tools, such as PowerPoint, Visio, and Excel
• Bachelor's degree in engineering, information systems, computer science, business administration, or other related fields

• Experience in Media & Entertainment and/or Consumer Products industries
• Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)

We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths. Qvest.US is currently 350+ people strong and we've been recognized as a \"Best Place to Work,\" a \"Great Place to Work,\" \"Fastest Growing,\" and \"A Jewel.\"

Equal Employment Opportunity

Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

APPLICATIONS ARE REVIEWED DAILY. YOU CAN EXPECT A RESPONSE WITHIN 24 HOURS. 

Why ABC?

1. Our Patients: An intentional focus on small caseloads with a compassionate care approach.

2. Our Culture: ABC Core Values are more than just words on a wall. It's how we strive to live everyday.

3. Our Community: We ground ourselves in our WHY and the impact we have on the lives of others.

Total Compensation Package from $84,500 to $119,000 annually. Opportunity to earn MORE based on center size, mentorship of RBT’s and supervision of assigned trainees.

Your total compensation consists of a competitive base salary, performance bonuses, mentorship bonuses, and long-term ownership in the company.

 *BCBA’s become eligible for long-term ownership upon promotion to the Sr. BCBA role. All other roles eligible.

Monthly Performance Bonuses: Bonuses are uncapped and start at just 26 hours of treatment delivery per week, meaning you’ll be rewarded for your impact without waiting months to qualify. 

Mentorship Bonuses: Provide supervision hours to an RBT pursuing their Master’s in ABA and earn bonus pay for your guidance, oversight and impact!

Certification Bonuses: Get rewarded for each therapist who becomes certified under your supervision. 

Relocation Packages available: To ease the expenses of your transition.

Dental Treatment Coordinator

Location: Knoxville, TN

Job Type: Full-Time

Pay: Up to $60,000

Position Overview

M Force Partners is seeking an experienced and detail-oriented Dental Treatment Coordinator to support front-office operations within a fast-paced orthodontic practice. This Dental Treatment Coordinator role is responsible for managing patient interactions, coordinating treatment plans, handling insurance verification, and ensuring a smooth and professional patient experience.

The ideal Dental Treatment Coordinator will bring strong dental office experience, excellent communication skills, and the ability to manage multiple priorities in a clinical environment.

Key Responsibilities

• Assist patients in understanding treatment plans and provide financial solutions for dental care
• Greet patients and manage check-in and check-out processes efficiently
• Schedule and confirm appointments while managing provider calendars
• Answer phone calls, respond to emails, and route inquiries appropriately
• Verify insurance coverage and obtain necessary authorizations
• Present treatment plans and explain procedures clearly to patients
• Process billing, collect co-pays, and maintain accurate financial records
• Maintain and organize patient documentation in compliance with HIPAA
• Coordinate with clinical and administrative staff to ensure efficient daily operations
• Support general administrative tasks and special projects as needed

Required Qualifications

• High school diploma or equivalent required; additional dental or administrative training preferred
• 1–2 years of experience in a dental office environment required
• Knowledge of dental terminology, procedures, and insurance processes
• Familiarity with dental software such as Dentrix, Eaglesoft, or Open Dental preferred
• Strong communication and customer service skills
• High attention to detail and ability to multitask in a fast-paced environment
• Professional appearance and commitment to patient confidentiality

Job presented by M Force Partners

M Force Partners is a specialized recruitment partner connecting top-tier talent with leading organizations. With a deep understanding of engineering/technical, medical, professional and executive disciplines and industry demands, we deliver tailored recruitment solutions, including direct hire and contract placements, to ensure the right fit for both candidates and clients.

If this role isn’t the right fit for you, we encourage you to explore our other opportunities at .

Do you know someone who may be a great match? Feel free to share this opportunity within your network

Equal Opportunity Employer

M Force Partners is an Equal Opportunity Employer. Employment decisions are based on qualifications, merit, and business needs. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

Planner II

Location: Geneva, OH

Job Type: Full-Time

Schedule: Monday–Friday | 6:00/7:00 AM – 2:30/3:30 PM

Pay Range: $70,000 – $85,000 per year (depending on experience)

Position Overview

M Force Partners is seeking an experienced Planner II to support production operations and manufacturing scheduling activities. This Planner II role is responsible for selecting and sequencing jobs based on Master Production Schedule (MPS) driven demand and ensuring work is scheduled efficiently across workstations and machines.

The ideal Planner II will have strong experience in production planning, materials management, and manufacturing operations. This Planner II position plays a key role in coordinating planning activities, maintaining build plans, and ensuring materials and resources are aligned to meet production schedules.

Key Responsibilities

• Select and sequence available jobs based on MPS demand for specific workstations or machines
• Meet regularly with contracts teams to review pending and recently received demand and assign planner responsibilities
• Manage overall workload and align resources to maintain balanced production flow
• Maintain manufacturing build plans on a daily basis
• Maintain run times and setup times associated with each job, product, or part
• Create and maintain expected completion timelines for scheduled jobs
• Review production schedules and confirm raw materials are available to support planned runs
• Develop forward-looking plans to support purchase requisitions and monitor incoming materials
• Monitor and coordinate outside services required for production operations
• Consolidate demand for purchase requisitions to support manufacturing schedules
• Identify critical parts and highlight potential issues that may impact the Master Production Schedule
• Drive communication between planning, project accounting, and project management teams
• Support organizational mission, values, and operational goals
• Follow quality and safety standards within the manufacturing environment
• Support additional projects and perform other duties as assigned
• Limited travel may be required

Required Qualifications

• Bachelor’s degree or equivalent combination of education and experience
• Minimum of 3 years of experience in production planning, manufacturing planning, or materials planning
• Strong understanding of production scheduling and project material management
• Experience working with MRP systems
• Proficiency with Microsoft Office including Excel, Pivot Tables, Word, PowerPoint, and SharePoint
• Strong written and verbal communication skills
• High attention to detail and quality orientation
• Ability to collaborate with customers, vendors, employees, and management across departments
• Strong analytical and problem-solving abilities

Job presented by M Force Partners

M Force Partners is a specialized recruitment partner connecting top-tier talent with leading organizations. With a deep understanding of engineering, technical, medical, professional, and executive disciplines and industry demands, we deliver tailored recruitment solutions including direct hire and contract placements to ensure the right fit for both candidates and clients.

If this role isn’t the right fit for you, we encourage you to explore our other opportunities at .

Do you know someone who may be a great match? Feel free to share this opportunity within your network.

Equal Opportunity Employer

M Force Partners is an Equal Opportunity Employer. Employment decisions are based on qualifications, merit, and business needs. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.