About Us We are an early-stage AI startup developing machine learning models that predict how different populations perceive and respond to fragrances and scented consumer products. Our goal is to combine chemistry, human sensory data, and artificial intelligence to help consumer goods companies better understand consumer preferences, accelerate product development, and make more informed formulation decisions before extensive physical testing. We work at the intersection of machine learning, computational chemistry, human perception, and behavioral science, tackling problems that require both strong engineering and scientific reasoning. About the Project We are currently working on a fast-paced project for a global consumer products company and are looking for an experienced ML engineer to join us for an initial two-week engagement. The work will involve building research prototypes, developing data pipelines, integrating scientific and chemical datasets, and helping create models that predict how different populations may respond to fragrance-related products. This is a highly collaborative role where you’ll work closely with our technical team to rapidly explore ideas, iterate on models, and solve challenging scientific problems. About the Role This is not a narrowly defined engineering position. As an early-stage startup, we’re looking for someone who is comfortable wearing multiple hats and contributing wherever they’re most valuable. Depending on the project, you may be involved in data scraping and preprocessing, scientific data integration, model implementation, feature engineering, exploratory analysis, and building tools to support ongoing research. Strong Python skills are essential, and experience with machine learning is expected. Do not apply to this role if you have no knowledge on neuroscience or chemistry.

We are seeking an experienced trainer to deliver a corporate training on PySpark and Machine Learning for a group of professional participants. This training provides a practical introduction to building scalable data processing and Machine Learning workflows using PySpark. Participants should come away understanding how Apache Spark operates within modern Big Data ecosystems, how to efficiently process large datasets using distributed computing, and how to build end-to-end ML pipelines using Spark MLlib. What We're Looking For: •Demonstrated experience delivering PySpark and/or Machine Learning training to corporate groups •Strong hands-on facilitation skills — comfortable running lab-based exercises •Ability to explain both Spark architecture fundamentals and applied ML workflows •Own training materials preferred, or willingness to adapt a provided outline into a full curriculum Topics to Cover: •Spark architecture: driver, executors, cluster manager, lazy evaluation, DAG and execution planning •RDD vs. DataFrame APIs — differences and when to use each •Creating and configuring SparkSession •PySpark DataFrames: transformations, actions, column expressions, filtering, joins, aggregations •Data quality checks and writing reusable, maintainable PySpark code •Performance fundamentals: partitioning, shuffle behavior, caching, persistence •Optimization techniques: broadcast joins, execution plan analysis •Feature engineering with Spark MLlib: handling missing values, encoding categorical variables, feature scaling •Preparing datasets and building reusable preprocessing pipelines for Machine Learning •Training regression and classification models at scale (Linear Regression, Logistic •Regression, Decision Trees, Random Forest) •Comparing models and interpreting results in distributed ML workflows •Deploying Machine Learning workflows in production-oriented environments Basic Python knowledge, fundamentals of data analysis, basic SQL, and an introductory understanding of Machine Learning concepts.

I am looking for an AI and machine learning developer to help create a basic image-recognition application for Decathlon. The goal of the project is to build a model that can identify the difference between running shoes and soccer cleats based on uploaded images. The developer should have experience with artificial intelligence, machine learning, computer vision, image processing, Python, and TensorFlow. The project would include helping develop and train the image model, testing its accuracy, and creating a basic prototype that could potentially be used in a mobile app or on a website. The main deliverables would be a trained image-recognition model, testing results, and a basic working prototype. I am looking for someone with relevant experience, strong communication skills, and the ability to complete the project within the expected timeline and budget.

Aurat is developing neuroscience-inspired AI models that predict how different human populations respond to scent. Our goal is to model the underlying neural and cognitive drivers of perception, emotion, and behavior from scent, enabling consumer insights without relying solely on traditional human panel testing. We are looking for a computational neuroscientist to help develop the next generation of our neural modeling platform. Responsibilities - Design and implement neuroscience-inspired machine learning models. - Develop neural architectures that predict population-specific responses to olfactory stimuli. - Build, train, and evaluate deep learning models using human perceptual datasets. - Design and execute experiments to improve model performance and generalization. - Explore novel modeling approaches, representation learning, and uncertainty estimation. - Work independently on open-ended research problems with minimal supervision. - Clearly communicate modeling decisions, assumptions, and experimental results. Required Qualifications - Computational neuroscience - Cognitive modeling - Strong background in machine learning and deep learning. - Strong Python programming skills. Preferred Qualifications Experience in one or more of the following areas: - Scientific machine learning - Representation learning - Bayesian modeling - Statistical learning - Brain-inspired AI - Sensory neuroscience - Psychophysics - Graph neural networks Ideal Candidate We're looking for someone who enjoys tackling novel scientific problems where there is no established solution. The ideal candidate is highly independent, comfortable reading scientific literature, capable of proposing new modeling approaches, and excited to rapidly iterate on experimental ideas. Contract Details - Remote - Full-time for two weeks - Immediate start - Potential for continued collaboration based on performance DO NOT APPLY IF YOU HAVE NO NEUROSCIENCE EXPERIENCE

We are seeking a skilled individual with experience in sewing and using a sewing machine. The ideal candidate will have a strong understanding of various sewing techniques and be able to work efficiently with different types of fabric. Responsibilities include sewing, repairing, and possibly creating new items. Attention to detail and the ability to follow instructions are essential.

We are seeking a skilled individual with experience in sewing and using a sewing machine. The ideal candidate will have a strong understanding of various sewing techniques and be able to work efficiently with different types of fabric. Responsibilities include sewing, repairing, and possibly creating new items. Attention to detail and the ability to follow instructions are essential.

We are seeking an experienced Healthcare Data Analyst / AI Developer to analyze patient data and build an insights platform that turns complex healthcare datasets into actionable intelligence. The ideal candidate will have strong experience working with EHR, EMR, claims, or clinical data and building scalable analytics workflows. You will clean and transform healthcare data, identify meaningful trends, create dashboards, and develop predictive models to support better operational and clinical decisions. Strong Python, SQL, data visualization, and machine learning skills are required, along with experience handling healthcare data securely and following HIPAA best practices. Experience with FHIR/HL7, cloud healthcare platforms, healthcare SaaS products, and LLM-based analytics solutions is a plus. Deliverables will include data exploration reports, structured datasets, analytics dashboards, predictive models where applicable, and clear documentation of findings. This is a long-term, part-time opportunity with a budget of $5k per month depending on experience and project scope.

You've scaled a home services company before. You know what it takes — the channels, the spend, the funnel, the accountability. You've made the calls that grew revenue and you have the numbers to prove it. We're a plumbing and HVAC company in San Francisco. We're growing to $10M. We need the person who has been here before — who can look at what we have, know exactly what to fix, and build the machine that gets us there. No BS. No generalists. No learning curve. If you've done this — really done it — show us your work and let's talk. To Apply Where you took a home services company and what happened to revenue Your first 30 days with us — what you'd look at, what you'd change Your rate and availability

What I Need Help With I have already set up my Raspberry Pi 5 and microscope camera. I am looking for someone to help implement the software pipeline for my project. Specifically, I need assistance with: Setting up and organizing the Python project structure. Use machine learning to be able to identify changes in morphology for each group over time (16 different experimental groups = 16 analysis folders to be compared to each other through ML) Building an automated workflow that processes microscope images using a custom-trained YOLO (Ultralytics) model. Running object detection on microscope images of Microcystis aeruginosa colonies. Extracting quantitative measurements from each detected colony, including colony count, area, equivalent diameter, circularity, and density. Automatically exporting all measurements into a CSV or Excel spreadsheet, with one row of data per image, and each piece of data being tracked based on which group it was taken from. Saving annotated images showing the YOLO detections for later review. Writing clean, modular, and well-documented Python code Troubleshooting any software or integration issues that arise during development.

I’m reaching out from Prime Wave Technologies. We’re currently expanding our remote technology team and looking for developers who are interested in joining us for long-term collaboration. We’re seeking skilled and motivated team members who enjoy working with modern technologies and being part of a collaborative remote environment. We’re currently looking for developers with experience in: • Full-Stack Development
 • Front-End / Back-End Development
 • Mobile Application Development
 • Cloud & API Development
 • DevOps & Infrastructure Engineering
 • QA Engineering & Software Testing
 • AI / Machine Learning (a plus) What we offer: • Flexible remote work environment
 • Long-term project opportunities
 • Supportive team collaboration
 • Opportunities for professional growth If you’re open to exploring a new opportunity, I’d be happy to learn more about your experience, share details about our projects and team, discuss available roles and answer any questions you may have.