Machining Engineer jobs at Pryon - 2016 jobs

Lead the Future of Dentistry. Overjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we're looking for talented people to fulfill our mission: improve oral health for all. Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you. Simply put, there's no better place to accelerate your career. Come join us! The Role As a Staff ML Engineer at Overjet, your aim will be to lead the development of tools, infrastructure, processes, and overall systems that enable us to develop, test, ship and operationalize AI/ML models into large scale production environments. You will be responsible for designing the architecture and roadmap of the full-stack of ML lifecycle: from dataset creation and pre- and post-processing, model training, and model evaluation to the fully automated CI/CD process for seamless deployment of models and ML solutions in production. As part of your role, you will also be responsible for the development, implementation, and maintenance of tools and systems dedicated to monitoring the performance of our production models. You thrive in uncertainty and are comfortable building entire cloud pipelines from the ground up, leveraging the latest technologies. At Overjet, we are at the forefront of ML/AI innovation, where creative problem-solving and a strong grasp of first principles are essential. We are focused on building future-ready solutions today. Responsibilities Design, develop, and maintain machine learning model development pipelines Design, develop, and maintain real-time and batch inference pipelines Design, implement, and maintain metrics for infrastructure observability and ML model performance Design and develop APIs for model training and inference services, develop and maintain datasets and feature stores Model performance optimization, monitoring, maintenance, and reporting Participating in an on-call rotation, responding to critical incidents outside of normal business hours Qualifications 6+ years of experience designing microservices and data processing pipelines at scale 6+ years of experience with Cloud Platform such as GCP, AWS or Azure Experience with distributed model training and/or inference Experience with deploying applications on Kubernetes, DevOps/GitOps tools such as Terraform, ArgoCD, Crossplane Strong programming skills in Python, Go (Golang), C++ or Java (10+ years) Extensive experience with database (SQL and NoSQL) systems such as BigQuery, Postgres, MongoDB Experience with optimizing models for production deployments (e.g., architecture modifications, quantization, or other techniques) Strong understanding of machine learning concepts and algorithms, and experience with developing and deploying machine learning models in production Working machine learning knowledge of either Computer Vision models or LLMs (Demonstrable experience working with Pytorch is required) Ability to modify and train open source models Why Overjet? Competitive Compensation and Equity Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location 401k plans with a matching program Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered Life and AD+D Insurance 8 weeks Paid Parental Leave Optional HSA with Employer contribution Flexible Time Off and company paid holidays Annual Learning and Development Stipend Work from Home Stipend Our Hybrid Workplace We have a unique hybrid workplace at Overjet - which combines the teamwork of meeting in person, with the flexibility of working from anywhere. Many of our positions are based in San Mateo, New York City, Boston, Salt Lake City, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week. Our People Team is happy to answer any questions about what hybrid work means for your specific role! Overjet's Values Excellence: We set ambitious goals and strive for excellence. Velocity: We focus, act with urgency, and deliver results. Ownership: We take ownership, dive deep and solve problems. Win-win: We play to win, setting ourselves and our customers up for success. Growth: We stay curious, seek feedback, and continuously learn and grow. Company Recognition Honored as one of the 2025 Best Places to Work by Built In and 2024 Best Places to Work by Built In Named one of the TIME Best Inventions of 2024 Recognized in Newsweek's Most Loved Workplaces in America 2024 Won the Dental Health category at the Digital Health Awards 2024 and 2024 Best Places to Work by Built In Recognized as one of the Top Startups of 2023 by LinkedIn Named one of the 2023 World's Most Innovative Companies by Fast Company Included on the definitive 2022 Forbes AI 50 Featured in Bloomberg, Forbes, Fast Company, and TechCrunch EEOC Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! If you are a Colorado resident: Please contact us by emailing ********************* to receive compensation and benefits information for this role. Please include the job title in the subject line of the email. #J-18808-Ljbffr

The Offline Driving Intelligence team is responsible for developing Foundation Models for prediction and planning, applying them both off-vehicle to provide ML capabilities to simulation and validation and on-vehicle to influence driving models. Our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will: Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance. Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Develop metrics and tools to analyze errors and understand improvements of our systems Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications PhD degree in Computer Science or related field +1 year of professional experience (top tier publications can remove the need for the year of experience) OR MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) $214,000 - $257,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr

Senior Machine Learning Engineer, Computer Vision - Robotics Ready to Apply? Join the team shaping the future of AI at Scale. Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine‑tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting‑edge research and development in real‑time and offline 2D and 3D algorithms. The successful candidate will be a hands‑on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production‑ready systems that power our next‑generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real‑time 3D mapping, pose estimation, and environmental modeling from multi‑modal sensor inputs (e.g., RGB‑D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full‑body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high‑performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video‑based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large‑scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross‑functional teams. Publication & IP: Maintain state‑of‑the‑art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross‑Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands‑on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance‑critical algorithm implementation. 2D/3D Fundamentals: In‑depth knowledge of classical and modern computer vision fundamentals, including multi‑view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real‑time and batch ML systems that analyze structured and unstructured signals Hands‑on experience rapidly prototyping and iterating on ML systems with changing requirements Nice to haves: Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance‑critical algorithm implementation. 2D/3D Fundamentals: In‑depth knowledge of classical and modern computer vision fundamentals, including multi‑view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real‑time and batch ML systems that analyze structured and unstructured signals Hands‑on experience rapidly prototyping and iterating on ML systems with changing requirements Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job‑related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full‑time position in the location of San Francisco is: $218,400 - $273,000 USD PLEASE NOTE: Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr

At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Research & Design Org Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross‑functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into three pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data‑rich systems that simplify complex compensation processes at scale. The Data Team @ Pave As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real‑time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it. What You'll Do Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole Collaborate with product and engineering teams to identify additional opportunities to leverage ML‑driven solutions Help evolve the technical direction of ML initiatives across the company Drive millions of dollars of revenue growth What You'll Bring 5+ years of experience building and deploying ML models in production environments Strong foundation in machine learning, statistics, and deep learning fundamentals Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar) Experience with large‑scale data processing and ML model optimization Experience with MLOps practices and tools (model versioning, monitoring, and deployment) Strong software engineering practices and experience with production systems Expert‑level SQL skills with experience writing complex queries and optimizing query performance Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100 Compensation Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top‑notch medical, dental, and vision coverage, a flexible PTO policy, and many other region‑specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P3: $195,000 - $215,000 P4: $230,000 - $250,000 Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships. Benefits Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you Professional Development: Quarterly education stipend to continuously grow Family Support: Robust parental leave to bond with your new family Commuter Assistance: A commuter stipend to help you collaborate in person Vision & Mission Our vision is to unlock a labor market built on trust. Our mission is to build confidence in every compensation decision. Equal Employment Opportunity As set forth in Pave's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. #J-18808-Ljbffr

At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Research & Design Org Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross‑functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into three pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data‑rich systems that simplify complex compensation processes at scale. The Data Team @ Pave As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real‑time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it. What You'll Do Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole Collaborate with product and engineering teams to identify additional opportunities to leverage ML‑driven solutions Help evolve the technical direction of ML initiatives across the company Drive millions of dollars of revenue growth What You'll Bring 5+ years of experience building and deploying ML models in production environments Strong foundation in machine learning, statistics, and deep learning fundamentals Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar) Experience with large‑scale data processing and ML model optimization Experience with MLOps practices and tools (model versioning, monitoring, and deployment) Strong software engineering practices and experience with production systems Expert‑level SQL skills with experience writing complex queries and optimizing query performance Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100 Compensation Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top‑notch medical, dental, and vision coverage, a flexible PTO policy, and many other region‑specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P3: $195,000 - $215,000 P4: $230,000 - $250,000 Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships. Benefits Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you Professional Development: Quarterly education stipend to continuously grow Family Support: Robust parental leave to bond with your new family Commuter Assistance: A commuter stipend to help you collaborate in person Vision & Mission Our vision is to unlock a labor market built on trust. Our mission is to build confidence in every compensation decision. Equal Employment Opportunity As set forth in Pave's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. #J-18808-Ljbffr

Genies is an AI avatar and games technology company powering the next generation of digital experiences. Genies' technology stack is rooted in empowering user generated content through the company's two main mantras: “Anyone can create anything” & “Everything works with everything” By combining these two guiding principles, individuals can craft limitless experiences while IP owners can build dynamic social gaming ecosystems powered by user-generated content (UGC) and AI Avatars-what Genies calls "Parties." Genies' technology stack features a comprehensive suite of UGC tools that enable anyone to create AI avatars, complete with customizable fashion, props, behaviors, and personalities, as well as immersive AI avatar Experiences. At its core are the set of our Software Development Kits and Cross-Platform Frameworks, which leverage machine learning and computer graphics to ensure seamless interoperability across all UGC and AIGC avatars and experiences-unlocking boundless creative potential. Early adopters of Genies' first gen avatars include icons like Justin Bieber, Rihanna, J Balvin, Migos, and thousands more. With offices in Los Angeles and San Francisco, Genies has raised $200M from notable investors including Silver Lake, BOND, NEA, and Bob Iger. Genies seeks a talented Senior Machine Learning Engineer to join our growing team and contribute to our R&D initiatives. In this role, you will be instrumental in designing, developing, and deploying machine learning models that produce high-quality 3D assets for our avatar creation ecosystem. Collaborating closely with our engineering and creative teams, you will incorporate AI and machine learning capabilities into our creator tools and product offerings. This opportunity not only allows you to join a dynamic startup at the forefront of a new industry and emerging technologies, but also to become one of the pioneering engineers shaping the future of consumer self-expression and creativity. We believe that the future of consumer social experiences will be consumer, creator and developer driven, and we are looking for a thought partner who can assist us in accomplishing our vision of transforming digital identity, representation, and social experiences. Why Genies?You are curious about the future of avatar technology and empowering users to represent their digital selves. You have an underlying passion for encountering complex problems and creating smart, strategic solutions. How avatars will play in the consumer marketplace resonates with you and you see a future where our digital identities help to create a world where people can create, express and be their true authentic selves. What You'll Be Doing : Collaborate with R&D and Application teams to integrate AI/ML solutions into our avatar creation ecosystem, leveraging advanced 3D computer vision (CV) and computer graphics (CG) techniques. Design, train, fine-tune, accelerate, optimize, and deploy ML models and technical frameworks. Utilize a strong understanding of computer graphics pipelines, computational geometry, and 3D principles to synthesize meshes, images, and/or motion. Apply practical expertise in implementing white paper concepts to develop user-facing creative technologies. Manage ML framework resources and infrastructure, including dataset management, client/cloud computing options, experiment tracking and model deployment techniques. Partner with Product and Creative teams to refine AI/ML-powered creation tools and interfaces. Communicate technical decisions and project updates to stakeholders such as engineers, designers, and product managers. Stay up-to-date on emerging technologies in AI and advise on their strategic integration into innovative solutions. Minimum Qualifications : Master's degree or higher in Computer Science, Computer Graphics, or a related field with a strong emphasis on machine learning and artificial intelligence. Minimum of 3 years of professional industry / research experience in machine learning, computer vision, or computer graphics. Proficiency in Python programming and extensive experience with AI/DL Frameworks (e.g. PyTorch, TensorFlow) Experience in multimodal training for 3D computer vision and graphics, such as: Generative models (e.g., diffusion, GANs, VAEs, flow-based) Advanced architectures like Transformers Volumetric differentiable rendering techniques with Neural Radiance Fields (NeRF) or Gaussian Splatting Excellent teamwork skills, effective in working with cross-functional teams and engaging stakeholders. Ability to communicate complex ideas to non-technical audiences. Background in computer graphics, computational geometry, and 3D principles is a plus. Preferred Qualifications : Industry experience with AI-driven content creation as it relates to games or animation, including: 3D reconstruction Object and body tracking 3D geometry analysis (segmentation & tagging) Generative models for avatars and textures Avatar behavioral systems. Publication track record at top conferences (e.g., SIGGRAPH, CVPR, NeurIPS, ECCV, ICCV, ICML) Contributions to popular open-source machine learning projects How Genies will support you : Genies is a well-funded, growing start-up that cares deeply about each of our employees' growth and success. Our roles and their responsibilities are created with a breadth of scope that introduces each employee to exciting new challenges and opportunities that a growing start-up encounters. The actual base pay is dependent upon a number of factors, including: professional background, training, transferable skills, work experience, education, location, business and product needs, and market demand. The base pay range is subject to change and may be modified in the future. Full-time employees may also be eligible for equity compensation, in addition to a robust health, wellness, and benefits package. Starting Salary Range: $180K to $230K USD Here's why you'll love working at Genies: You'll work with a team that you'll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product You'll enjoy the culture and perks of a startup, with the stability of being well funded Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance Competitive salaries and 401K program for all full time employees Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement Working in a brand new, bright, open-environment and fun office space - there's even a slide! Choice of MacBook or windows laptop Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. #J-18808-Ljbffr

About This Role Strava is the app for active people. With over 150 million athletes in more than 185 countries, Strava is where connection, motivation, and personal bests thrive. No matter your activity, gear, or goals, we help you find your crew, crush your milestones, and keep moving forward. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Senior Machine Learning Platform Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale. This is an important role on the team to develop and expand our machine learning platform. This lets us build models of higher quality with less friction. It helps ensure our models are served with stability and reliability, while ensuring we monitor model performance carefully. Ultimately you won't just help with the things we are doing now, but also unlock our technological capabilities for the future. We follow a flexible hybrid model that generally translates to half your time on-site in our San Francisco office- three days per week. What You'll Do: Own scalable platform: Lead key projects to level up Strava's ML tools and system in a way that grows with our use cases, model architectures, and athletes. Build for a well-loved consumer product: Work at the intersection of AI and fitness to enable product experiences used by tens of millions of active people worldwide. Shape AI at Strava: Be a strong voice and mentor on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions across multiple surfaces and expand our technical ML capabilities. Build from a rich dataset: Help us make use of Strava's extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features You Will Be Successful Here By: Holding empathy and perspective: Work closely with engineers and data scientists to understand the opportunities to help them succeed; they will be your customers! Leading as an owner: Owning your work end-to-end and being accountable for the outcomes in the projects you lead, influencing the ML team, partner teams, and landing impact for the business. Ensure the end-to-end system delivers as expected through collaboration with partners. Driving innovation with product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate, and gain buy-in for innovative techniques to enhance our existing platform, resulting in step-function changes to how we build AI at Strava. Raising the ML standard: Mentor engineers to shape how we do ML at Strava. Raise the standards for model development, deployment, and maintenance, and be a go-to source of knowledge of the field. Collaborating in and across teams: Build relationships, advocate and communicate with cross-functional partners and product verticals to identify opportunities and bring your technical vision to life. Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values What You'll Bring to the Team: Have worked on complex, ambiguous platform challenges and broken them down into manageable tasks with both strategies and tactical execution. Demonstrated technical leadership in leading projects and the ability to mentor and grow early-career team members. Have demonstrated strong interpersonal and communication skills, and a collaborative approach to drive business impact across teams. Have worked with a variety of MLOps tools that fulfill different ML needs (like FastAPI, LitServe, Metaflow, MLflow, Kubeflow, Feast) Are experienced in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A/B testing Have built backend production services on cloud environments like (but not limited to) AWS, using languages Python, Terraform, and other similar technologies. Have built and worked on data pipelines using large scale data technologies (like Spark, SQL, Snowflake) Have experience building, shipping, and supporting ML models in production at scale Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, Sagemaker Compensation Overview: At Strava, we know our employees are the most important ingredient to our success, and our compensation and total rewards programs reflect that. We take a market-based approach to pay, and pay may vary depending on the department and your location. Salary ranges are categorized into one of three tiers based on a cost of labor index for that geographic area. We will determine the candidate's starting pay based on job-related skills, experience, qualifications, work location, and market conditions. We may modify these ranges in the future. For more information, please contact your talent partner. Compensation: $180,000 - $210,000. This range reflects base compensation only and does not include equity or benefits. Your recruiter can share more details about the full compensation package, including the range specific to your location, during the hiring process. For more information on benefits, please click here. Why Join Us? Movement brings us together. At Strava, we're building the world's largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you're shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you're not just joining a company-you're joining a movement. If you're ready to bring your energy, ideas, and drive, let's build something incredible together. Strava builds software that makes the best part of our athletes' days even better. Just as we're deeply committed to unlocking their potential, we're dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We're backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we're expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice #J-18808-Ljbffr

At IUNU ("you knew"), we're revolutionizing the agriculture industry through cutting‑edge AI‑driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to develop products for our clients and the greenhouse industry. Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we'd like to meet you. Your ultimate goal will be to shape and build efficient self‑learning applications. Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine‑tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements 3-5 years of proven experience as a Machine Learning Engineer or a similar role Strong experience with Deep Learning Understanding of data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithms Ability to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit‑learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem‑solving skills BSc in Computer Science, Mathematics, or a similar field; a Master's degree is a plus Diversity At IUNU, we're committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths. #J-18808-Ljbffr

About Pryon We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. In This Role Help solve fundamental problems in machine learning, natural language understanding, and human‑computer interaction with applicability to practical commercial use cases. Help with experimentation and model development, and design new features as well as improve existing ones in our system. Partner with the AI Engineering team to transition mature technology to our production environment. What You'll Need to Be Successful Master's degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial/academic work experience (or equivalent) Demonstrated ability to drive the development side of R&D efforts Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition Experience with one or more of deep learning toolkits (PyTorch/HF preferred) Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of: Python, C++, or Java) Experience building and improving LLM applications for processing semi‑structured and structured data such as NL2SQL and graph‑RAG Experience with practical applications in NLP, esp. with transformers/LLMs a plus Publications in top‑tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) a plus Experience working in cloud‑based development environments such as AWS, Azure, or Google Experience with micro‑service creation Strong problem‑solving skills, with a hands‑on, get‑it‑done attitude Team player with ability to work in a close‑knit, fast‑paced startup environment $160,000 - $175,000 a year Benefits for Full‑Time Employees Remote first organization 100% Company paid Health/Dental/Vision benefits for you and your dependents Life Insurance, Short‑term and Long‑term Disability 401k Unlimited PTO We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time. Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws. #J-18808-Ljbffr

At Quantcast, we're redefining what's possible in digital advertising. We're a global demand‑side platform powered by AI, helping marketers connect with the right audiences and deliver measurable results across the open web. Our foundation is built on cutting‑edge measurement and consumer analytics, giving our clients the tools they need to drive success in an ever‑evolving digital landscape. Since our start in 2006, we've pioneered industry firsts-from launching the original measurement platform for digital publishers to introducing the first AI‑driven DSP. If you're ready to be part of a dynamic, forward‑thinking team that thrives on creating transformative solutions, Quantcast is the perfect place to grow your career. The Modeling team is responsible for machine learning systems at Quantcast. We build and maintain multiple ML products that price millions of bid requests per second in a real‑time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance, and many more characteristics. We are developing novel and effective platforms and algorithms to combine our vast first‑party dataset with third‑party data to provide the highest quality demographic and behavioral analysis of digital audiences on the market. As a Sr Machine Learning Engineer, you will use our large datasets, computational power, and analytic tools to build high‑quality and diverse products to support Quantcast's position as a leader in advertising. You will help lead our efforts in crafting, implementing, and operating large‑scale machine learning systems in a production environment. You care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proofs of concept, and build out scalable real‑time production systems to tackle challenges the company faces. What you'll do Design, code, test, and debug ML applications and constantly improve large‑scale global systems that respond to millions of real‑time requests per second efficiently. Prototype solutions, conduct data analyses to tackle large‑scale inference problems, and run ML experiments to test new modeling ideas. Write clean, efficient, and maintainable code using industry best practices. Work multi‑functionally with other teams to develop standard methodologies in model building and validation, and collaborate closely with engineering teams to deliver high‑quality ML products. Identify performance bottlenecks and optimize system components for enhanced scalability. Mentor machine learning engineers to grow their careers and improve their skills, including participating in code reviews and providing constructive feedback to team members. Generate and review proposals for further research and development directions. Keep up to date with developments in machine learning outside the company. Who you are M.S. in Computer Science or related technical field with 5-8 years of industry experience or Ph.D. with 5+ years, or equivalent practical experience. You must be work‑authorized in the United States without the need for current or future employer sponsorship. This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in‑office days, candidates must reside within a 60‑mile radius of San Francisco, CA. No relocation candidates at this time. Fluency in Python, Java, or similar object‑oriented programming language. Proficiency with ML algorithms such as classification, control systems, optimization, clustering, LLMs, or recommendation systems. An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering. Solid foundation in math, statistics, data visualization, and storytelling. Demonstrated analytical, planning, and social skills. Experience coaching and developing junior machine learning engineers. The salary range for this position is $186,900 - $217,200 #LI-AC1 Quantcast operates in a hybrid work environment. The in‑office days are Tuesday, Wednesday, and Thursday. At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes eligibility for a performance bonus, equity, and a comprehensive benefits package. Depending on your location, this may include generous vacation, medical, dental, and vision coverage, and retirement plans. For more details, visit our Careers page and see how we support our team. Please see Applicant Privacy Notice for details on our applicant privacy policy. Founded in 2006 and headquartered in San Francisco, we are a diverse, aligned community with offices across 10 countries worldwide. Join the team that unlocks potential. Quantcast is an Equal Opportunity Employer. #J-18808-Ljbffr

Are you ready to join a growth-oriented team where creativity meets innovation? At Ware Malcomb, we are a dynamic and forward-thinking design firm committed to pushing the boundaries. Our team-oriented, collaborative approach ensures that every project is a blend of visionary design and seamless project delivery, and we are actively engaged with both the community and the industry. Discover our vibrant culture to get an inside look into life at Ware Malcomb and the programs we offer. Life at Ware Malcomb. As a Project Engineer at Ware Malcomb, you will support the delivery of innovative mechanical engineering projects from concept through construction. You will assist in preparing mechanical design reports and calculations, perform code research, develop complete sets of construction documents, and provide construction services such as site visits. This is a great opportunity to collaborate with clients, consultants, contractors, and our dynamic team while advancing your career in mechanical engineering. Responsibilities Complete computer and hand calculations supporting the mechanical design utilizing the applicable building and material codes while maintaining a high level of accuracy and attention to detail throughout all phases of the project. Prepare and oversee the development of models, calculation packages, construction documents, and specifications. Collaborate with Project Managers, Senior Project Managers and department managers to plan project layouts and integrate mechanical elements into cohesive designs. Participate in internal and external project meetings, coordinating with other disciplines. Conduct field work including site verifications, assessments, and troubleshooting. Perform construction administration duties, including periodic site visits to ensure compliance with design intent. Support the development and maintenance of engineering standards. Participate in quality assurance and quality control process within the team. Mentor the team in the use of mechanical calculation software and assist in task organization. Lead and coordinate mechanical engineering projects as Engineer of Record (EOR) when assigned. Conduct peer reviews and prepare reports on findings. Qualifications Bachelor's degree in Mechanical Engineering from an ABET-accredited program Professional Engineer (PE) license required 5+ years of experience in a mechanical engineering role Proficiency in Revit required Experience in Plumbing and Fire Protection design is highly preferred Strong communication, organizational, and analytical skills Ability to manage multiple priorities and provide technical guidance to team members Ability to provide timely, dependable, and professional service in a fast-paced environment Strong grasp of advanced financial concepts, with proven ability to perform intermediate calculations and conduct in-depth financial analysis Compensation: $100,000 - $135,000 a year. Read more about Life at Ware Malcomb. The final agreed upon compensation is based on individual education, qualifications, experience, licensing, project specialty/complexity and work location. At Ware Malcomb, certain roles are bonus eligible. Established in 1972, Ware Malcomb is a dynamic, forward-thinking commercial real estate design firm providing professional architecture, planning, interior design, civil engineering, branding, building measurement, structural engineering and MEP services to clients throughout the world. With office locations throughout the United States, Canada, Mexico and Brazil, the firm specializes in the design of office, industrial, science & technology, healthcare, multifamily, retail, and public/institutional projects. For six consecutive years, Ware Malcomb has been ranked as the #1 Industrial Sector Architecture Firm by Building Design + Construction Magazine. The firm is also ranked among the top 10 Architecture/Engineering firms in Engineering News-Record\'s Top 500 Design Firms and the Top 30 Interior Design Firms in Interior Design magazine\'s Top 100 Giants. For more information, visit Ware Malcomb.com. #J-18808-Ljbffr

A leading 3D printing company in Boston is seeking a Senior Mechanical Engineer to drive innovation and design in their projects. The ideal candidate will have over 5 years of industry experience and a strong portfolio showcasing their work in electro-mechanical systems. You'll lead teams to prototype and develop groundbreaking 3D printer systems, while also guiding junior engineers. The company offers a robust compensation package, including equity options, comprehensive healthcare, and various perks designed to support work-life balance. #J-18808-Ljbffr

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Proudly led by founders from Stanford and Carnegie Mellon and a board featuring Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo), and Fei‑Fei Li (Chief Scientist of AI at Google). Join us and leave your mark on the future of robotics, AI, and global commerce. Core Values Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. About the Role You will own the development and architecture of our next‑generation robotics diagnostic system, which is crucial for improving the reliability and maintainability of the robotic fleet. This system must proactively detect and surface anomalies across the entire robot stack-from low‑level firmware glitches to complex hardware failures-either automatically during operation or upon manual trigger. You will be the architect of the diagnostic data structure, translating complex sensor readings and error logs into actionable, easy‑to‑read health reports that accelerate root cause analysis for engineering, manufacturing, and support teams. This role requires tight collaboration with our Embedded Software and Infrastructure teams, and the Operations team to build a robust, scalable data pipeline. Key Responsibilities Design, implement, and maintain the on‑robot diagnostic framework, enabling both autonomous background checks and on‑demand manual diagnostic scans. Define the diagnostic data schema, ensuring efficient, standardized, and human‑readable reporting of fault codes, event logs, and status checks. This data structure must be scalable and optimized for use by both on‑robot systems and cloud‑based analytics tools. Work closely with embedded software and hardware teams to develop sophisticated diagnostic routines that surface hardware issues, abnormal sensor behavior (e.g., drift, noise, and communication failures), motor anomalies, and transient firmware glitches. Collaborate with the Infrastructure team to architect and build the data pipeline responsible for reliably collecting, storing (e.g., S3 or data lake), and processing high volumes of diagnostic data from the robot fleet. Ensure diagnostics generate clear, prioritized, and contextualized reports that summarize the state of the robot, enabling engineers to quickly understand the root cause of an abnormality without extensive log diving. Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical discipline. 3+ years of professional experience in developing diagnostics, monitoring, or telemetry systems for complex electro‑mechanical devices, robotics, or embedded systems. Proficiency in software development (e.g., C++, Python) with specific experience in writing testable, robust code for embedded environments or robotics middleware. Experience with data structuring, schema design, and working with data ingestion pipelines (e.g., utilizing message queues, time‑series databases, or cloud data storage). Deep understanding of common robotics hardware and firmware failure modes, including motor control systems, sensor interfaces (e.g., CAN, I2C, Serial, USB), and power management systems. Technical triaging skills, familiarity with Ishikawa diagram are big plus. Familiarity with interpreting hardware schematics and leveraging low‑level system logs to identify failure points. Salary and Equity $145,000 - $190,000 a year. The range above is the salary range. This position will also receive generous equity. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws. Nimble's Benefits Paid Time Off - Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance - Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave - Enjoy paid bonding time following a birth. Commuter Benefits - Take the stress out of commuting with access to fully‑paid parking spots. Referral Bonus - Get a cash bonus for any friend or colleague that you refer to us that we end up hiring. 401k - Contribute towards a 401k for retirement planning. Equity - Be an owner in Nimble through our equity program. #J-18808-Ljbffr

A leading robotics company in California is seeking a Senior Software Engineer to develop the infrastructure powering their robots. In this role, you will design and implement APIs and infrastructure for a multi-tenant distributed system while evaluating complex robotics systems. The ideal candidate has a BS/MS in Computer Science and over 4 years of industry experience in software engineering, with strong skills in C++ and Python. Join us to shape the future of robotics in a fast-paced environment. #J-18808-Ljbffr

Red 6 is an innovative Augmented Reality (AR) technology startup leading the way in synthetic air combat training. Our primary technology, supporting our ATARS product, enables pilots to simulate the cognitive challenges of flying while accessing realistic, scalable training in dynamic outdoor environments. The Role Red 6 is seeking a Senior Mechanical Engineer to contribute to the next generation of augmented reality (AR) hardware systems for military training and commercial applications. In this role, you will lead the mechanical design and development of precision components and assemblies for cutting‑edge AR devices, including headsets and optical systems. You will work at the intersection of advanced technology and practical engineering, collaborating closely with cross‑disciplinary teams to create hardware that meets the demands of real‑world use. Your expertise in CAD, precision mechanical design, and system integration will help drive the development of innovative solutions that redefine training and simulation capabilities. This is a rare opportunity to shape the future of AR technology in a high‑impact, mission‑critical environment. Key Responsibilities Mechanical Design: Lead the design and development of precision mechanical systems and components using SolidWorks, ensuring functionality, manufacturability, and reliability. Prototyping and Testing: Create prototypes, conduct rigorous testing, and iterate designs to achieve optimal performance and durability. System Integration: Collaborate with cross‑functional teams to integrate mechanical designs with optical, electronic, and software systems. Analysis and Validation: Perform detailed structural, thermal, and tolerance analyses to ensure mechanical systems meet stringent performance and environmental requirements. Documentation: Generate comprehensive CAD models, detailed drawings, and engineering documentation for manufacturing, assembly, and quality assurance. Vendor Collaboration: Work closely with suppliers and manufacturing partners to ensure high‑quality production of components and assemblies. Projects May Include: Designing robust mechanical systems for precision hardware and sensor integration. Supporting the development of lightweight and aerodynamic head‑mounted devices. Developing systems for sensor enclosures, tracking components, and hardware optimization. Experience, Skills and Required Qualifications Education: Bachelor's Degree in Mechanical Engineering or a directly related field (Master's preferred). Experience: 5+ years of experience in mechanical design for high‑performance hardware systems. Technical Skills: CAD Expertise: Proficiency in computer‑aided design (CAD) for 3D modeling and technical drawings; SolidWorks is highly preferred. Precision Design: Strong foundation in precision mechanical design, with expertise in Geometric Dimensioning & Tolerancing (GD&T) and tolerancing for tight tolerances and high‑performance systems. Manufacturability & Assembly: In‑depth knowledge of design for manufacturability (DFM) and design for assembly (DFA), ensuring efficient and reliable production workflows. 3D Scanning: Experience leveraging 3D scanning technology as a tool for reverse engineering, design validation, and prototyping. Additive Manufacturing: Familiarity with 3D printing technologies and their application in prototyping and low‑volume manufacturing. Problem‑Solving: Advanced analytical skills, such as FEA and CFD analysis, to validate designs. Leadership: Demonstrated ability to mentor junior team members and contribute to team growth. Collaboration: Proven ability to thrive in a fast‑paced, interdisciplinary team environment. Communication: Clear, professional written and verbal communication skills. This position may require a security clearance. To obtain clearance, employees must show proof of US Citizenship. Preferred Qualifications Industry experience in AR/VR hardware development or optics integration. Knowledge of materials and manufacturing processes, including injection molding, additive manufacturing, optics manufacturing or lightweight composites. Experience with innovative designs for advanced display systems or spatial computing. Out of the box thinker that thrives in an RND environment. Full‑Time Employee Benefits Healthcare, Dental, and Vision (100% coverage for Employees) Paid time off, including vacation, sick, paid holidays, and parental leave Short and Long‑Term Disability Flexible Spending Account (FSA) 401(k) Retirement Plan Voluntary Worksite Benefits (Accident, Critical Illness, and Hospital Indemnity) Note Red 6 reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations. Red Six Aerospace, Inc, 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. This is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Red 6 has the right to change any and all terms of this , including, but not limited to, job responsibilities, qualifications, and benefits. Nothing in this job description constitutes an offer or guarantee of employment. #J-18808-Ljbffr

An innovative AR technology startup in Santa Monica is seeking a Senior Mechanical Engineer to lead the design and development of high-performance mechanical systems for AR devices. This role involves collaborating with multidisciplinary teams and utilizing expertise in CAD, precision design, and system integration. Candidates should possess over 5 years of experience in mechanical design and a strong foundation in advanced manufacturing processes such as additive manufacturing. #J-18808-Ljbffr