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2mo ago

Product Data Analyst

Essentra Norton Shores, MI

Norton Shores, MI

2mo ago Closed

Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Sep 22, 2026).

Job Description

Essentra is looking for a detail-oriented Product Data Analyst to join the Product Strategy team in Norton Shores, MI (hybrid). In this role, you will help ensure product information is accurate, findable, and aligned with customer and market needs. You will work across product, commercial, and digital teams while leveraging analytics to improve discoverability and performance.

Hybrid schedule: onsite in the Norton Shores, MI office 3 days per week. Local candidates only; no sponsorship or relocation assistance at this time.

What you will do

Develop and maintain product taxonomy and categorization across digital platforms.
Maintain product data accuracy, completeness, and consistency across systems including PIM, ERP, eCommerce, and marketplaces.
Support new product onboarding by validating attributes, specifications, and metadata.
Collaborate with suppliers to standardize and enrich product data.
Partner with the Product team to identify NPI and category expansion opportunities.
Serve as a product expert to help customer service and sales with technical inquiries.
Analyze customer feedback and support tickets to uncover product data gaps or usability issues.
Work with commercial teams to align product data with pricing strategies, promotions, and market trends.
Analyze product performance and customer behavior to surface sales opportunities.
Use Excel, Power BI, and other tools to analyze product performance, search behavior, and taxonomy effectiveness.
Monitor commercial and digital KPIs to improve product discoverability and business performance.
Support SEO and digital merchandising through optimized product content and structure.
Establish and maintain product data standards, governance procedures, and documentation across systems and teams.
Create recurring reports and dashboards covering product performance, search behavior, customer engagement, and category growth opportunities.
Partner with purchasing, sales, marketing, eCommerce, and operations to ensure product data supports business objectives.
Participate in product lifecycle management, including rationalization and enrichment initiatives.
Provide training and documentation on taxonomy standards and product data best practices.
Act as subject matter expert for product data and taxonomy, influencing decisions for product launches, category management, and digital commerce initiatives.

What you bring

Bachelor’s degree in Business, Marketing, Engineering, or a related field strongly preferred.
Associate’s degree or equivalent experience considered, with 2+ years in product data management, taxonomy, or eCommerce.
Experience with PIM systems, ERP platforms, and digital catalogues.
Detail-oriented approach.
Strong analytical skills to interpret data and support sound decisions.
Strong proficiency in MS Excel and other data management platforms.
Ability to manage projects and work through challenges to completion.
Excellent communication and organizational skills.
Commercial mindset with understanding of product positioning and customer needs.
Strong collaboration skills and ability to work as a team player.
Experience in industrial components distribution or manufacturing strongly preferred.
Project management experience and attention to detail.
Experience maintaining large product datasets within ERP, PIM, eCommerce, or marketplace platforms.

Tools you’ll use

Excel
Power BI
PIM systems
ERP platforms
eCommerce
marketplaces
digital catalogues
SEO

Benefits

Competitive salary
Annual bonus incentive
Full benefits package
Generous paid time off

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2mo ago

Data Analyst

Lake Michigan College Benton Harbor, MI

Benton Harbor, MI

2mo ago Closed

$63k - $76k/yr Full time Business Intelligence Data Analysis Data Analytics

This position is no longer accepting applications (closed Sep 22, 2026).

Job Description

The Data Analyst role at Lake Michigan College supports institutional and enrollment management priorities through data collection, advanced reporting, and fulfillment of stakeholder information requests. This position is based onsite in Benton Harbor, Michigan.

Key Responsibilities

Manage data collection, analysis, and reporting deliverables, including datasets, dashboards, and publications using Power BI and SSRS.
Handle customer information requests by triaging and fulfilling requests through the IR service portal, documenting requirements, sources, and definitions.
Develop and maintain enterprise reporting with Power BI and SSRS, including paginated reports, dashboards, datasets, and data models aligned to institutional standards.
Partner with institutional stakeholders to gather, understand, and define business requirements for reporting and analytics projects.
Apply appropriate statistical techniques and ensure reproducibility of methods to support stakeholder reporting needs.
Identify and resolve issues related to reporting data flows, queries, and scheduled report delivery for production and/or application development.
Use data and system analysis to identify opportunities to improve and automate business processes, and collaborate on process improvement recommendations.
Write, optimize, and maintain complex SQL queries and stored procedures across Oracle and SQL Server, including implementation and monitoring of reporting data pipelines.
Create validation checks and audit trails and maintain current knowledge of data storage and management best practices.
Design and maintain reporting semantic layers/data models that meet requirements efficiently and reliably.
Track project performance by analyzing progress toward short- and long-term goals.
Update and maintain the institutional reporting calendar, sequence and track cross-department deliverables, and ensure on-time publication and compliance submissions.
Coordinate access provisioning for reporting content and data sources with IT/IR, managing security roles consistent with FERPA and institutional policy.
Develop and enforce reporting style guides and visualization standards; review and validate enterprise reports prior to release for accuracy, accessibility, and consistency.
Support ad hoc data collection, data analysis, and report development.
Develop, enforce, and maintain documentation, internal data project manuals, and technical materials for internal and end-user training purposes.
Ensure report and dashboard design aligns with WCAG, including color-blind-safe palettes, alt-text, and narrative summaries.
Maintain communication with stakeholders to gather requirements and provide progress updates.
Collaborate with internal IT, ERP, and IR teams to share best practices and user knowledge for redundancy in troubleshooting and technical support.
Complete cross-training on Power BI, SSRS, and SQL fundamentals.
Perform other duties as assigned.

Required Qualifications

Bachelor’s degree required; preferred fields include data analytics, statistics, information systems, computer science, or related.
Two or more years of experience in data analysis and institutional reporting.
Advanced SQL for complex query writing, optimization, and data modeling across Oracle and SQL Server/T-SQL.
Proficiency with Power BI and SQL Server Reporting Services (SSRS) for building enterprise dashboards and paginated reports.
Strong understanding of relational database concepts and reporting data models.
Ability to design and maintain reporting datasets, implement data quality checks, and document lineage definitions.
FERPA-compliant handling of confidential data, including role-based access and report/data-level security practices.
High attention to detail and data accuracy, with a commitment to documentation standards.
Strong critical thinking and analytical problem-solving skills.
Excellent written and verbal communication, including translating technical findings for non-technical audiences.
Strong organization and time management, including managing multiple stakeholder deadlines.
Collaborative, customer-service oriented approach, with ability to work independently and in teams.

Preferred Skills

Python for data wrangling and automation.
SQL Server Integration Services (SSIS) or other ETL tools.
Experience with accreditation/compliance reporting (e.g., IPEDS, Perkins, HLC) and campus survey analytics.

Technologies

SQL, Oracle, SQL Server, T-SQL
Power BI, SQL Server Reporting Services (SSRS)
Python
SQL Server Integration Services (SSIS), ETL tools
FERPA
WCAG

Benefits

Benefits start on the first day of hire.
Extensive paid time off, including Spring Break.
College fully pays the in-network health insurance deductible.
Minimum of 10% employer retirement contribution per payroll.

Schedule and Attendance

Regular and predictable on-site attendance is required for essential job functions. Under certain circumstances, the College may consider alternative work arrangements in compliance with its Flexible Scheduling and Remote Work Options policy.

Monday through Thursday summer work hours apply to this position.

Application Details

Official transcripts required upon hire.
Lake Michigan College will accept applications for at least 14 days for this posting.
Applications are screened for minimum qualifications as received.
After the search committee identifies applicants to interview, those applicants will be contacted.
To apply, visit: https://lmc.simplehire.com/postings/5785.

Posting Dates

Open date: 08/18/2026
Closing date: 09/18/2026

Contact

If you have questions, contact Human Resources at hr@lakemichigancollege.edu.

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2mo ago

Machine Learning Engineer

Apple Cupertino, CA

Cupertino, CA

2mo ago Closed

$216k - $325k/yr Full time Artificial Intelligence Autoregressive Models Deep Learning

This position is no longer accepting applications (closed Sep 22, 2026).

Job Description

Build state-of-the-art generative AI in a team focused on core modeling technology for Apple Intelligence. This onsite role in Cupertino, CA brings together large-scale training and on-device optimization work that helps power experiences like Genmoji, Image Playground, and Image Wand. You will help advance modern diffusion and auto-regressive generative models while also developing proprietary, experimental ideas tailored to Apple’s ecosystem.

Compensation: USD 216,200 - 324,800 per year.

What you’ll do

Develop modern generative models using diffusion and auto-regressive technologies.
Continuously evaluate the latest AI research and apply high-impact advancements quickly.
Pioneer proprietary, experimental ideas designed specifically for Apple’s unique ecosystem, alongside ongoing research efforts.

What you bring

M.S. or PhD in Computer Science (or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics) or equivalent experience.
2+ years of experience training and fine-tuning modern image and video generation models.
Experience working in an academic or industrial research environment.
Proficiency with an ML framework such as PyTorch, TensorFlow, or JAX.
Excellent communication skills, with the ability to bring clarity in ambiguous circumstances.

Preferred

Demonstrated strength in industrial research, including delivery of complex projects and/or publications in top-tier venues.

Tools you may use

PyTorch, TensorFlow, JAX

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Education reimbursement for certain expenses, including tuition for formal education related to advancing your career
Employee stock opportunities, including the ability to become an Apple shareholder through discretionary employee stock programs
Discretionary restricted stock unit awards
Employee Stock Purchase Plan option to purchase Apple stock at a discount if participating voluntarily
Discretionary bonuses or commission payments, and relocation (discretionary)

Education requirement: M.S. or PhD in Computer Science (or related field).

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2mo ago

Machine Learning Engineer

Point72 New York, NY

New York, NY

2mo ago Closed

$150k - $200k/yr Full time Artificial Intelligence Engineer Machine Learning Engineer

This position is no longer accepting applications (closed Sep 22, 2026).

Job Description

Point72 is hiring a Machine Learning Engineer for its High Frequency Trading Technology team in New York, NY. In this role, you will apply AI technologies to practical, real-world problems while also supporting the balance between production operations and AI research workflows.

What you’ll do

Apply the latest AI technologies to solve real-world problems and streamline day-to-day operations.
Build a production support AI agent to help monitor production problems and suggest actions.
Partner with the AI research group on initiatives such as creating synthetic data for training.
Use MCP agents to streamline the research workflow.

Who you are

Hold a PhD or be a PhD candidate in machine learning, computer science, or another AI related research field.
Have experience with sequential modeling and time series forecasting using deep learning.
Have experience with deep neural networks and representation learning.
Have prior experience in a data-driven research environment.
Be able to translate mathematical models and algorithms into code.
Be proficient in Python and R.
Have experience with machine learning libraries such as TensorFlow or PyTorch.
Agent or Context engineering experience is strongly preferred.
Natural language processing technology experience is strongly preferred.
Bring excellent analytical skills with strong attention to detail.
Work collaboratively with strong independent research ability.
Demonstrate strong written and verbal communication skills.
Maintain a commitment to the highest ethical standards.

Technologies

Python
R
TensorFlow
PyTorch

Location: New York, NY (onsite). Compensation: USD 150,000 - 200,000 per year. Application checklist: Résumé.

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2mo ago

Machine Learning Engineer

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

2mo ago Closed

$100k - $245k/yr Full time Ai Engineer Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Sep 22, 2026).

Job Description

Join the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD (onsite) as a Machine Learning Engineer contributing across the full lifecycle of ML algorithm development and implementation. This role supports national defense non-kinetic systems, where you will apply modern AI methods alongside real development pipelines, simulation environments, and intelligent decision-making systems.

Compensation: $100,000 to $245,000 per year. Experience: at least 2 years. Education: Bachelor’s degree in Mathematics, Physics, Engineering, Computer Science, or a related field.

What you’ll do

Design, implement, and evaluate advanced machine learning algorithms to address real-world planning, perception, coordination, and control challenges for national defense.
Develop software pipelines that connect data streams, simulation environments, and intelligent decision-making algorithms.
Apply cutting-edge AI technologies and concepts, including deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-based modeling and simulation tools.
Collaborate with scientists and engineers within your group and across APL to advance solutions.
Engage with sponsors to communicate proposed concepts, solutions, and analysis.

What you bring

Bachelor’s degree in Mathematics, Physics, Engineering, Computer Science, or a related field.
At least 2+ years of experience in machine learning and data science.
At least 1 year of hands-on experience applying and/or developing ML algorithms using common libraries such as PyTorch or TensorFlow.
Strong foundational knowledge in at least two areas: classification, clustering, deep learning, reinforcement learning, computer vision (object detection and visual tracking), multi-agent systems, or optimization/control theory.
Demonstrated experience using version control software such as Git.
Strong communication skills, both verbal and written.
Ability to obtain an Interim Secret clearance by your start date and ultimately a Secret clearance. If selected, you will be subject to a government security clearance investigation and must meet eligibility requirements, including U.S. citizenship.

Technologies you’ll work with

PyTorch, TensorFlow, Git
Deep reinforcement learning, foundation models, large language models
Convolutional neural networks, recurrent neural networks, graph neural networks
Computer vision
Physics-based modeling and simulation tools

Nice to have

MS in Mathematics, Physics, Engineering, Computer Science, or a related field.
5+ years of experience designing and implementing AI/ML algorithms for a variety of datasets.
Proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems.
Hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion.
Experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal.
Comfort working in high performance computing environments (GPU/CPU clusters).
Proficiency in one or more: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI.
Track record of writing deployable, production-level code (Python, C/C++) for real-world applications.

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2mo ago

Senior Machine Learning Engineer

Shipt Remote 🌍 Remote

Remote

2mo ago Closed

Full time Artificial Intelligence Data Analysis Engineer

This position is no longer accepting applications (closed Sep 22, 2026).

Job Description

As a Senior Machine Learning Engineer on Shipt’s Foundations team, you will implement advanced machine learning models and help design and analyze experiments that address priority problems across pricing domains. You will operate as a subject matter expert in both machine learning and experimentation, validating how algorithmic changes affect important business metrics.

Key Responsibilities

Implement cutting edge machine learning models to support foundational capabilities.
Design and analyze advanced experiments in collaboration with product, business, and engineering teams to solve key challenges across multiple pricing domains.
Serve as the subject matter expert in a machine learning domain or experimentation.
Build advanced ML solutions and validate the impact of algorithmic changes on key business metrics.
Present recommendations to key stakeholders based on analysis and experimental outcomes.

Required Qualifications

4+ years of experience applying machine learning and statistics in an industry setting, with a record of delivering impactful results.
PhD or Masters in Computer Science, Statistics, or a related field.
Experience building and deploying machine learning models.
Experience with experiment design, rollout, analysis, and reporting.
4+ years of Python development.
Experience presenting to stakeholders.
Experience leading key technical projects and substantially influencing the scope and output of others.
Bachelor's Degree or equivalent experience.

Technology Stack

Python
Artificial Intelligence (AI)
Machine Learning (ML)

Education

PhD or Masters in Computer Science, Statistics, or a related field.

Benefits

Medical, dental, vision and more
401k plan eligibility
Discretionary vacation for exempt team members
Paid holidays throughout the calendar year
Paid sick leave
Eligibility for an annual bonus
Potential for restricted stock units based on role

Work Arrangement

Remote roles: Remote (remote).
Hybrid roles in Birmingham, AL: typically work in-office at least 2 days per week, with core in-office days on Wednesdays and Thursdays.
Hybrid roles in Minneapolis, MN: typically work in-office at least 1 day per week on either Tuesday, Wednesday, or Thursday.
Hybrid roles in San Francisco, CA: typically work in-office at least 1 day per week between Monday and Thursday.
Certain roles may require in-office presence on a full-time basis.

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2mo ago

Machine Learning Engineer - On-Device Adaptive Control

Apple Seattle, WA

Seattle, WA

2mo ago Closed

$142k - $214k/yr Full time Electrical Engineering Artificial Intelligence Controls Engineering

This position is no longer accepting applications (closed Sep 22, 2026).

Job Description

The Energy Tech org at Apple is developing on-device control systems that use on-device machine learning to manage thermal and energy tradeoffs.

Responsibilities

Design and implement on-device control systems for thermal and energy management
Build and fit thermal models using lab and field data
Prototype MPC and related control algorithms end-to-end, from data analysis through on-device deployment
Analyze large-scale field telemetry to characterize device behavior and validate models
Define and tune cost functions that encode system-level tradeoffs
Collaborate with firmware, hardware, and platform teams to integrate control systems into the OS

Requirements

MS or PhD in controls, robotics, electrical engineering, computer science, or related field; or BS with relevant experience
Experience with model predictive control, optimal control, or reinforcement learning (sequential decision-making)
Strong programming skills in Python; comfort with C/C++ for on-device work
Experience working with real-world sensor data, including noisy, incomplete, high-volume datasets
Demonstrated ability to take a project from data exploration through a working prototype

Technologies

Python
C/C++
Model predictive control
Optimal control
Reinforcement learning
MPC
OS

Preferred Qualifications

Experience with thermal systems, battery management, or energy optimization
Familiarity with embedded or resource-constrained environments
Background in system identification or online parameter estimation
Comfort with ambiguity, able to scope and drive work without detailed specifications
Track record of shipping models or control systems into production, not only research

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Eligible for discretionary restricted stock unit awards
Can purchase Apple stock at a discount with participation in the Apple Employee Stock Purchase Plan
Base pay range between $142,300 and $214,300
Discretionary bonuses or commission payments and relocation (eligibility may apply)

Pay & Benefits

The base pay range for this role is between $142,300 and $214,300. Your base pay will depend on your skills, qualifications, experience, and location.