Codashop, ML Jobs in Usa

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

Apply here: (s) Ruru Hoong, Anya Shchetkina, and Jimin Nam (MIT Sloan) are seeking motivated and detail-oriented individuals to work as full-time pre-doctoral researchers. The position involves close collaboration with 1-2 faculty members (depending on research interests) on empirical research projects related to digital technologies, advertising, and AI. You will contribute at all stages of the research process — from data collection and cleaning to analysis and writing. Some structural modelling or applied ML methods development may be involved if of interest.

Active and planned research projects include: 

• The design of information for human-AI collaboration
• The impact of generative AI on worker productivity, task allocation, and organizational design
• The design of AI-driven hiring tools, such as optimizing voice-AI interviews for candidate screening
• Youth, social media, and smartphones
• The effects of AI on education and learning, including adaptive AI tutoring and path dependence in AI product rollout
• AI and wellbeing, including how generative AI tools affect individual and worker wellbeing
• Household and business surveys on electricity in Ghana
• Mechanization and preferences - marketing in 19th Century tea
• Measuring advertising effectiveness with aggregate data
• Experimental design under privacy constraints
• Identifying limits of targeting and personalization effectiveness 

Methods used across these projects include randomized controlled trials, experiments, machine learning, natural language processing, large language models, probabilistic ML, and adaptive learning (bandits and Bayesian optimization).

A core goal of the position is to prepare you to apply to and succeed in PhD programs in marketing, economics, management, operations or related fields. We will work together to develop your research skills — beginning with careful research workflow and attention to detail, and progressing toward more independent analysis over time. We will also collaborate on other elements of your preparation, including independent research, letters of recommendation, and coursework planning. You will be encouraged to attend seminars and engage with the broader research community at MIT Sloan and across MIT.

You do not need to arrive with a polished skill set; the purpose of a predoc is to also help you develop that training. What matters most is a genuine interest in these research questions, a willingness to learn, and the determination to see difficult problems through. 

Principal responsibilities

• Collect, clean, and manage large-scale quantitative and qualitative datasets across active research projects related to marketing, digital economics, and AI
• Conduct empirical analysis using methods such as causal inference, machine learning, NLP, and experimental design
• Contribute to all stages of the research process — from literature review and data collection through analysis and writing
• Design and implement surveys and experiments using tools such as Qualtrics and oTree
• Write, review, and maintain reproducible research code in Python, R, or Stata, including responsible use of AI coding tools
• Other duties as needed

Qualifications

• A Bachelor's degree with strong grades, ideally in a quantitative field
• Comfort with or eagerness to learn programming (Python, R, or Stata) and experimental tools (Qualtrics, oTree)
• Willingness to experiment with AI coding tools (e.g., Claude, Cursor, Copilot) while maintaining a healthy skepticism — you should be prepared to understand and review every line of code these tools generate
• A long-term interest in pursuing a PhD in marketing, economics, management, operations, or a related field.
• A familiarity with causal inference or Bayesian statistics is welcome but not required
• Prior research experience is a plus but not a prerequisite
• Careful attention to detail — the kind of person who double-checks a merge and notices when a number doesn't look right
• Curiosity, initiative, and the persistence to work through open-ended problems
• The ability to work independently
• Visa sponsoring will not be available for this position. Candidates should have authorization to work in the US for the duration of the appointment. 

The position is located at the MIT Sloan School of Management in Cambridge, Massachusetts. The default start date is July 1, 2026, with some flexibility to begin earlier or later. The position typically lasts 1-2 years prior to entering a PhD program. Salary is competitive with other pre-doctoral research positions (50-63k). Applications will be reviewed on a rolling basis.

Application Instructions

If you are interested, please submit the following:

• A one-page cover letter describing your background, research interests, coding experience, and future goals. Please indicate which of the research areas listed above interest you most and why.
• A CV
• A transcript
• A writing sample — a research paper, term paper, or thesis that reflects your analytical abilities
• (optional) A code sample you have written, with a brief summary of what it does and the outputs it produces
• The names and contact information of two references
• Applications will be reviewed on a rolling basis starting early March until the position(s) are filled.

** To comply with regulations by the American with Disabilities Act (ADA), the principal duties in position descriptions must be essential to the job. To identify essential functions, focus on the purpose and the result of the duties rather than the manner in which they are performed. The following definition applies: a job function is essential if removal of that function would fundamentally change the job.

Site Reliability Engineer

Description and Requirements

About Our Team

We are building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the reliability engineering organization that powers cross‑device Personal AI.

We are hiring Site Reliability Engineers (SREs) to strengthen the reliability, observability, and operational excellence of Qira’s AI systems across device, edge, and cloud. Depending on your strengths, you may be aligned to areas such as Observability, Operations, or Service Reliability.

Works with the speed and creativity of a startup inside— you’ll help build foundational systems with clarity, ownership, and modern engineering practices.

Location: On-site in Chicago, IL. Hybrid (3 days on-site, 2 days remote)

What You Might Work On

As an SRE, you may be responsible for a subset of the following, depending on team placement and skill alignment:

Reliability & Systems Engineering

• Support the reliability, availability, and performance of distributed systems across cloud, edge, and device environments.
• Help define, measure, and monitor SLIs and SLOs for core services.
• Identify reliability risks and collaborate with senior engineers on mitigation plans.

Operational Excellence

• Participate in on‑call rotations and assist with incident response and post‑incident reviews.
• Contribute improvements to runbooks, automation, and tooling that reduce alert noise and operational toil.
• Help enhance detection, alerting, and response workflows.

Observability & Insight

• Implement and improve telemetry using OpenTelemetry, Grafana, and related tools.
• Build dashboards and tools that improve visibility into system health and AI service behavior.
• Ensure observability data is complete, accurate, and actionable.

Deployments & Change Safety

• Support safe, reliable deployment workflows including canaries, staged rollouts, and automated rollbacks.
• Assist in improving CI/CD systems and deployment tooling.

Collaboration & Best Practices

• Work closely with senior SREs, DevOps engineers, AI/ML teams, and platform engineers.
• Contribute to reliability reviews, operational readiness checks, and cross‑team projects.
• Advocate for modern SRE and DevOps practices within the organization.

Basic Qualifications

• 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or production systems operations.
• Bachelor’s Degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• Foundational experience supporting distributed systems in production.
• Ability to write scripts or tools in Python, Go, Bash, or similar languages.
• Solid understanding of Linux systems, networking basics, and system performance fundamentals.
• Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
• Familiarity with monitoring/observability (metrics, logs, tracing).
• Experience with containers and Kubernetes.

Preferred Qualifications

• Experience with OpenTelemetry instrumentation and telemetry pipelines.
• Hands‑on experience with Grafana, Prometheus, Loki, or Tempo.
• Exposure to AI/ML systems, inference services, or data‑intensive workloads.
• Experience contributing to CI/CD processes and deployment automation.
• Familiarity with hybrid architectures spanning device, edge, and cloud.
• Passion for automation, reliability, and operational excellence.

What Success Looks Like

• Systems become easier to operate, observe, and trust.
• Alerts are more accurate and actionable.
• On‑call load decreases through thoughtful automation and improvements.
• Deployment workflows become more reliable and repeatable.
• You grow toward deeper ownership and technical leadership within the reliability engineering organization.

Project Manager

6 mo. contract to perm hire

Raleigh, NC

Required Skills & Experience

• 5–10 years Project Management experience (ideal)

• Strong technical understanding, ideally with AI / ML / GenAI exposure

• Ability to understand technical details and track progress with engineers & data scientists

• Strong stakeholder communication

• Self-driven, minimal hand-holding

• Experience running multi-team, cross-functional initiatives

Experience managing multiple projects concurrently

Nice to Have Skills & Experience

• Former developer or data scientist background before PM

• Hands-on experience with AI products, AI content pipelines, embeddings

• Experience in B2B environment

Experience in multi-year, large-scale data or ML programs

Job Description

• Manage multiple AI-related projects under the hiring manager's org

• Track progress across engineering + data science teams (~10 people)

• Manage long-term initiatives (multi-year)

• Coordinate embedding strategy project with 20–30+ cross-functional contributors

• Provide weekly updates and progress tracking

• No customer-facing work — only internal stakeholders

• Move projects forward proactively, ensure clarity, keep leadership informed

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Job Title: Software Product Manager

Reports to: Chief Product Officer

Location: Westminster, CO (Hybrid — 3-4 days on site)

Compensation: Salary range $135k-$165k

About Inovonics

Inovonics builds enterprise grade wireless sensor networks and software for life safety and security systems in demanding environments. For over 40 years, our 900 MHz wireless technology has helped protect people, property, and critical operations across senior living communities, healthcare campuses, schools, retail sites, and other commercial facilities. We have shipped more than 25 million devices worldwide.

We are in the middle of a deliberate transformation: moving from a hardware component provider to a complete solutions company. That means building a software platform, cloud integrations, and AI-driven capabilities alongside our wireless hardware. This role sits at the center of that shift. Inovonics is a wholly owned subsidiary of Roper Technologies (NYSE: ROP).

The Role

We are looking for a Software Product Manager who can guide our software engineering team with clarity and technical credibility. This is not a role for someone who will hand requirements over the wall and hope for the best. You will be embedded in the day-to-day work of the team: running sprint ceremonies, owning the backlog, writing requirements that engineers can act on, and making product decisions that hold up under scrutiny.

The right candidate has a software engineering or technical background and has moved into product management because they want to shape what gets built, not just how it gets built. You understand system architecture well enough to know when a proposal does not fit, and you are willing to say so. You write requirements you have thoroughly reviewed and own the outcomes that follow.

What You Will Own

Day to day software team leadership

• Own the product backlog and sprint planning for the software engineering team
• Write and maintain requirements that are accurate, scoped, and actionable
• Run Agile ceremonies and serve as the primary product voice to engineering
• Manage trade-off decisions between scope, quality, and timeline in real time
• Report sprint progress to executive leadership
• Work with customer-facing teams and market focused Product Managers to triage requests and manage communication related to software releases

Software roadmap and platform strategy

• Define the “What”, “Why”, and “When” of what the software team builds.
• Own the software and cloud platform roadmap, including API integrations and third-party partnerships
• Ensure roadmap initiatives have well defined software requirements before engineering picks them up
• Partner with hardware and market focused product managers to identify what software can realistically deliver, surface revenue opportunities, and align software commitments to system level plans.
• Maintain visibility into technical dependencies and surface risks early

AI product direction

• Provide product leadership for Inovonics' AI capabilities, including our dealer facing AI assistant and AI driven monitoring features
• Translate the engineering team's AI and ML capabilities into a committed, realistic roadmap
• Identify where AI creates genuine product value versus where it adds complexity without payoff
• Work with commercial and customer facing teams to validate AI use cases before committing engineering resources

What Success Looks Like in Year One

• The engineering team trusts your requirements and does not spend cycles reworking stories because of gaps or inaccuracies
• The software backlog is clean, prioritized, and current
• Roadmap projects have software requirements captured and ready before they enter sprint planning
• A clear, defensible AI roadmap exists with prioritized use cases tied to business outcomes
• You are operating independently and are the recognized product leader for the software team

What We Are Looking For

Required

• Background in software engineering, computer science, or a related technical discipline
• Hands on experience running Agile development: sprint planning, backlog management, story writing, and retrospectives
• Demonstrated ability to write detailed, accurate product requirements that engineering teams can execute without constant clarification
• Ability to engage in architectural conversations and recognize when a proposal does not fit the existing system
• Experience owning a SaaS or cloud platform product end-to-end
• Comfort with ambiguity and the ability to make and defend product decisions with incomplete information

Strongly preferred

• 5+ years of product management experience with a software or engineering foundation
• Experience with IoT, connected hardware, or embedded systems products
• Familiarity with physical security, life safety, or building automation markets
• Experience shipping AI or ML powered product features; practical understanding of what AI systems can and cannot do
• Experience with API platform products and third-party integration ecosystems

Personal qualities that matter for this role

• You own your outputs. If you put a requirement in front of engineering, you have read it, pressure tested it, and stand behind it
• You know what you do not know and say so
• You earn credibility through rigor, not title
• You can move between strategic and operational work in the same day without losing focus

Location and Work Model

This position is based in Westminster, Colorado. We work in a hybrid model with 3-4 days per week on site. Westminster sits within the Denver/Boulder tech corridor, approximately 15 miles northwest of Denver.

Inovonics values diversity of thought and background and provides equal employment opportunity to all qualified applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, veteran status, or disability.

**Federal Project - Applicant must be a United States Citizen**

Baer is looking for Platform Developer for a 12 months Federal Project located in Herndon, VA.

Title: Platform Developer

Location: Hybrid - Herndon, VA (Mon-Thur)

Duration: 12 months

Rate: All-inclusive

Alignment: W2 or C2C

Role Overview

We are looking for a skilled AI Platform Developer with experience in building and supporting AI/ML solutions. The ideal candidate should have strong programming skills, hands-on experience with machine learning frameworks, and experience deploying AI models in cloud environments.

Key Responsibilities

• Develop, test, and deploy machine learning and deep learning models.
• Build and maintain scalable AI platform components and pipelines.
• Perform data acquisition, preprocessing, feature engineering, and analysis.
• Collaborate with data scientists and engineering teams to integrate AI solutions into applications.
• Support model deployment, monitoring, and optimization using MLOps best practices.
• Work with large datasets using big data tools and distributed systems.

Required Qualifications

• 5+ years of experience in building and supporting AI/ML solutions
• Strong programming skills in Python (knowledge of R, Java, or C++ is a plus).
• Good understanding of Machine Learning and Deep Learning, including supervised, unsupervised, and reinforcement learning techniques.
• Hands-on experience with TensorFlow, PyTorch, Keras, and scikit-learn.
• Experience with data processing, SQL and NoSQL databases.
• Familiarity with Apache Spark and large-scale data processing.
• Solid foundation in mathematics and statistics (linear algebra, probability, calculus).

Company Overview:

Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.

ALL OPEN JOBS

Applied AI Engineer

Compensation:

• Up to $150,000 base salary (direct hire w2 only, no c2c, no 1099), (flexibility on base salary for exceptional experience)

Location:

• Hybrid / Onsite - Greater Kansas City Metro Area
• 3 days per week onsite, 2 days remote
• Candidates must currently reside in the KC metro area or be willing to relocate within a reasonable timeframe
• Fully remote candidates cannot be considered

Work Authorization:

• Must be authorized to work in the U.S.
• No current or future visa sponsorship available

Engagement Type:

• Full time, direct hire only
• No third-party agencies, consulting firms, C2C, or 1099 arrangements

About the Opportunity

Vaco Highspring is conducting a confidential search on behalf of a global enterprise organization with a strong technology footprint, including a proprietary SaaS platform and a technology?enabled services business.

The organization is making a focused investment in artificial intelligence to improve internal efficiency, modernize workflows, and embed intelligent capabilities into its software platform. This role offers meaningful ownership and visibility, with a mandate to build and deploy AI systems that have real, production level impact.

The Role

As an Applied AI Engineer, you will play a key role in integrating AI across internal systems and a customer facing SaaS platform. You will work hands on with large language models (LLMs) and modern AI tooling to automate processes, build internal tools, and deliver intelligent product features.

This is a production focused role operating at the intersection of engineering, product, and business operations, with close collaboration across teams in a hybrid/onsite environment. (3-days per week onsite in Greater Kansas City Metro Area, 2-days remote work.)

Key Responsibilities

• Design and build scalable AI powered services and tools to streamline internal workflows across multiple teams (e.g., operations, content, sales, support).
• Develop and deliver intelligent features within a proprietary SaaS platform.
• Integrate, manage, and optimize multiple LLMs and AI APIs (e.g., OpenAI style, Anthropic style, or comparable providers).
• Provide technical leadership and mentorship to other engineers, including guidance on architecture, best practices, and performance.
• Build and maintain backend systems and APIs that support AI functionality across products and services.
• Design infrastructure for model serving, orchestration, monitoring, and lifecycle management.
• Implement fallback strategies, model routing, and cost performance optimization.
• Partner cross functionally with engineering, product, and business stakeholders to identify high impact AI opportunities.
• Apply best practices related to data privacy, security, compliance, and responsible AI use.
• Stay current with advancements in AI, LLMs, and MLOps, introducing new approaches where appropriate.

Qualifications

• 6+ years of engineering experience with multiple years of experience in a production environment deploying AI/ML applications or infrastructure.
• Proven experience applying LLMs or similar AI models to real business or product challenges.
• Strong backend engineering skills (Python and/or TypeScript preferred).
• Experience with AI/ML orchestration and deployment tools (e.g., LangGraph style frameworks, Airflow like systems, Kubeflow, Ray, or workflow automation tools).
• Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Front end development experience in areas like React, Node.js, Web Development, front end web product design
• Solid understanding of MLOps practices, including deployment, monitoring, logging, and evaluation.
• Knowledge of data privacy, security, and ethical AI considerations.
• Experience supporting SaaS platforms or technology driven products is a plus.
• Strong communication skills and the ability to collaborate across technical and non-technical teams.
• Passion for applying AI in practical, high impact ways.

Why This Role

• High visibility and ownership of AI initiatives
• Opportunity to build AI systems that directly impact business outcomes
• Emphasis on production grade systems, not experimentation alone
• Collaborative, hybrid environment with close access to stakeholders

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

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. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you'll do:

• 
  
• Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
  
• Deeply understand the Pinterest product and drive the vision for the team, ensuring the team's work directly contributes to the company's goals.
  
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
  
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
  
• Provide visibility to senior leadership regarding the team's global impact.
  
• Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
  
• Build a culture of excellence and expertise within the team.
  

What we're looking for:

• 
  
• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  
• Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology.
  
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required. Natural language processing and computer vision is a bonus.
  
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
  
• Strong focus on product impact and user experience within a consumer-focused environment.
  
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members.
  
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.
  

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:

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

Rite-Hite is a global leader in industrial safety and efficiency solutions. As part of our digital transformation journey, we are seeking an innovative Device and Edge Software Architect to help build and scale connected, intelligent systems that drive real-time insights, operational efficiency, and customer value at multiple levels. The ideal candidate combines technical depth, business acumen, and technical leadership excellence to deliver best-in-class digital solutions that bridge software, hardware, and service workflows across global industrial environments.

The Systems Architect, Device and Edge Software is responsible for defining and guiding the architecture of device-level, embedded, and edge software solutions that support connected and intelligent industrial products. This role ensures that software deployed on devices, controllers, sensors, and edge platforms is scalable, secure, reliable, and aligned with enterprise product and platform objectives.

The architect partners closely with product management, engineering, and digital teams to translate business and customer requirements into robust technical foundations. These foundations enable consistent product behavior, efficient lifecycle management, and high-quality user experiences-- including IoT-enabled hybrid mobile applications-across a range of industrial environments.

CORE RESPONSIBILITIES

• Define and maintain reference architectures, design patterns, and technical standards for device, embedded, edge, and mobile-connected software.
• Establish common approaches for firmware, edge applications, data handling, communications, and lifecycle management.
• Ensure architectural decisions support scalability, reliability, safety, and security requirements.

Innovation Leadership:

• Drive the strategic use of AI and ML by establishing data feedback loops, AI/ML pipelines, and model lifecycle management-treating data as a product and AI as a platform differentiator.
• Own a portion of the internal technology radar and innovation pipeline, regularly evaluating and incorporating transformative technologies.
• Foster a culture of agile innovation, engineering excellence, and continuous learning.
• Help build a culture of secure, ethical, and transparent technology practices-leading compliance with cybersecurity, privacy, and responsible AI frameworks.

• Partner with product management and engineering teams to enable new and evolving connected product capabilities.
• Guide architectural decisions related to embedded compute, edge processing, sensors, mobile-connected workflows, and advanced software features.
• Promote reuse and consistency of software components across devices, edge platforms, and hybrid mobile applications.

• Define patterns for integration between device and edge software, hybrid mobile applications, and enterprise or cloud-based platforms.
• Ensure solutions support a range of deployment models, including online, offline, and hybrid environments.
• Promote interoperability with internal systems and third-party technologies where appropriate.

• Define secure-by-design architectural principles, including device identity, access control, and software update mechanisms.
• Ensure alignment with applicable safety, quality, and industrial cybersecurity standards.
• Participate in design and architecture reviews to assess risk, resilience, and compliance.

• Collaborate across product management, software, hardware, manufacturing, service, IT, and mobile application development teams.
• Provide technical leadership, mentorship, and guidance to engineers / engineering teams.
• Influence architectural decisions through expertise, data, and collaboration rather than direct authority.
• Partner with Product Management to translate market-defined requirements into scalable, maintainable, and extensible platform capabilities.
• Partner with Product Management, Customer Success, and Field Service teams to ensure user-centric roadmap delivery.
• Serve as the technical voice in strategic customer conversations and enterprise implementations.
• Ensure strong integration between cloud software, IoT hardware, and connected products ecosystem.

• This role does not have direct reports but is expected to provide technical leadership and architectural guidance across multiple teams.

QUALIFICATIONS

Education & Experience:

• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field required; Master's degree preferred.
• 8+ years of experience in embedded systems, firmware, device software, edge computing, or IoT-connected mobile application ecosystems, with demonstrated experience in architectural design or technical leadership roles.
• Experience delivering software for industrial, connected, or safety-critical products preferred.

Knowledge / Skill Requirements:

• Strong understanding of embedded, edge, and IoT-connected mobile application architectures.
• Experience designing systems that support hybrid mobile applications (online/offline, secure local connectivity, cloud synchronization).
• Ability to think systemically across hardware, software, edge, and mobile boundaries.
• Experience balancing innovation with scalability, reliability, and maintainability.
• Strong communication skills and ability to influence cross-functional stakeholders.
• Experience with industrial automation, connected products, or IoT ecosystems is a plus.
• Expertise with machine learning, natural language platforms, and real-time inference frameworks.

Leadership & Collaboration:

• Visionary technical leader who can inspire cross-functional teams and align stakeholders to a shared product vision.
• Exceptional communicator across technical and non-technical audiences.
• Committed to data-driven decision-making and delivery excellence.

Why Join Rite-Hite Digital Solutions?

As a technology leader within a globally trusted industrial brand, you will play a pivotal role in shaping the future of connected safety, productivity, and automation solutions. Through the development of digital solutions, you will help thousands of customers digitize their operations, improve asset performance, and elevate service delivery. Join us to lead transformative innovation at the intersection of software, hardware, and real-world industrial impact.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

OFFICIAL JOB TITLE: Assistant/Associate Librarian

DIVISION: Academic Affairs

WORKING JOB TITLE: Librarian for Access Services and Outreach

DEPARTMENT: Library Services

BARGAINING UNIT STATUS: AFT

FLSA STATUS: Exempt

REPORTS TO: Dean of Library Services

SUPERVISES: Supervises professional, classified, and student personnel as assigned.

SUMMARY PURPOSE OF POSITION:

The Librarian for Access Services and Outreach will provide leadership for the Access Services division. This librarian will collaborate with colleagues to develop policies, procedures, and budget allocations for Access Services. They may also work closely with faculty and academic departments, accessing student needs and developing new classes to enable student success. As a member of the library leadership team, this librarian works collaboratively in assessing, developing, and managing key services of the Claire T. Carney Library. Often the first contact for a user or visitor, this librarian is an important ambassador for the library to the community.

MINIMUM QUALIFICATIONS:

• 
  
• EDUCATION: Master's Degree in Library and Information Science from an ALA-accredited institution or equivalent
  
• EXPERIENCE: Two years of professional experience (post MLS) in public services in an academic (higher education) or public library setting.
  

PREFERRED QUALIFICATIONS:

• 
  
• Experience using the Ex Libris Alma integrated library system.
  
• Experience supervising full-time staff and student employees.
  
• Experience managing projects.
  
• Experience using evidence-based approaches to support improvements to library services.
  
• Strong communication skills
  

EXAMPLES OF PRIMARY DUTIES AND RESPONSIBILITIES:

Access Services

• 
  
• Provides leadership for the Access Services division in circulation, stacks management, reserves, and space management.
  
• Staffs the Access Services desk as needed. (May include evening, weekend, or holiday hours.)
  
• Performs access services related functions within the integrated library system and other library systems.
  
• Coordinates staff coverage for library operating hours.
  
• Oversees hiring and training of student employees.
  
• Communicates effectively with campus police, facilities, and hired security.
  
• Collaborates with colleagues across the library to develop workflows and procedures related to collection management, user accounts, and other access services functions.
  
• Represents Access Services in library leadership meetings.
  
• Collaborates with library leadership on the development, implementation, updating, and communication of policies and procedures.
  
• Assists the Dean with developing and managing the divisional budget.
  

Outreach

• 
  
• Works with departments and programs across the university to enhance the student experience, coordinating general tours and orientations to the library and basic research skills.
  
• Assists with communications from the Library to various stakeholders.
  

Other Duties

• 
  
• Maintain professional activities and contributions to librarianship and information science, engaging in and contributing to the profession through continuous learning, service, research, presentations, or professional communications.
  
• Collaborate with stakeholders in the university and/or community to assess and improve services.
  
• Perform other duties as assigned.
  

KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

• 
  
• MLS or equivalent from an ALA-accredited institution or international equivalent.
  
• Minimum of two years of library experience in public services or access services, demonstrating increasing leadership responsibilities.
  
• Demonstrated ability to work collaboratively and build positive relationships with colleagues and peers (e.g., through committees, projects, teams, etc.).
  
• Demonstrated knowledge of integrated library systems/library services platforms and other Access Services related technologies.
  
• The ability to communicate effectively, listen well, and respond to student, staff, and faculty needs.
  
• Demonstrated commitment to contributing to a culturally diverse educational and work environment.
  

NOTE: Other job-related duties and responsibilities may be assigned and/or the job description changed periodically to reflect changing organization needs.

SALARY: $73,000 - $85,000

UMass Dartmouth offers exciting benefits such as:

• 
  
• 75% Employer-Paid Health Insurance
  
• Flexible Spending Accounts
  
• Life Insurance
  
• Long Term Disability
  
• State Pension Retirement Plan
  
• Optional Retirement Savings Plans
  
• Tuition Credit (Employee, Spouse, & Dependents)
  
• Twelve (12) paid holidays
  
• And More!
  

Benefits for Librarians & Technicians

To apply please submit a letter of interest, a current resume and the contact information for three professional references.

The review of applications will begin immediately and continue until the position is filled.