Manufacturing Drafter

About the Company OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. We're off to a big start, and we're doing it on our terms and timelines. About the Position We are seeking a Computer Vision and Deep Learning Engineer with 4+ years of experience (or equivalent) in developing innovative AI solutions. The ideal candidate will excel in conducting advanced research, implementing cutting edge technology in applications, designing production-ready applications, and optimizing vision systems across on-premises and cloud environments. This role requires strong expertise in Python (e.g., PyTorch, OpenCV) and proficiency in scalable data processing for images, videos, and multimodal datasets. Key Responsibilities Conduct advanced research to develop, implement and experiment traditional and cutting edge computer vision and deep learning algorithms. Design and build production-ready vision and deep learning applications to meet diverse internal and external requirements. Optimize existing on-device and on-premises vision and deep learning software for maximum performance and efficiency. Develop scalable systems to process, organize, and analyze large datasets, including images, videos, and IMU data. Document research findings, system designs, and software implementations to ensure clarity and reproducibility. Integrate, test, and deploy high-performance solutions across on-premises and cloud environments. Collaborate with cross-functional teams in a fast-paced, dynamic environment to innovate and solve complex problems. Requirements Qualifications Graduate degree, or at least 4 years of experience (or equivalent), in computer vision, deep learning, or related fields. Strong foundational knowledge in deep learning, computer vision, data structures, algorithms, software engineering, and computer systems architecture. In-depth understanding of the latest advancements in computer vision and deep learning technologies, and their practical applications. Proven ability to work with raw, real-world datasets, transforming theoretical concepts into effective solutions. Strong software development skills to design, implement, validate, and iterate on solutions efficiently. Proficiency in Python and frameworks/libraries such as PyTorch, OpenCV, NumPy, SciPy, Scikit-learn, Pandas, Matplotlib. Experience with FastAPI, Pydantic, C/C++, and Bash are nice to have. Excellent planning, problem-solving, and communication skills, with the ability to work independently and collaboratively in team settings. Preferred Qualifications Expertise in deep learning models for images, videos, and time-series data. Experience with computer vision applications for resource-constrained devices. Familiarity with multiple-view geometry in computer vision. Proficiency in developing software for multimodal data processing. Proficiency in developing systems using sensors such as IMU, camera, GPS, and LIDAR. Research or industry experience in autonomous driving, robotics, or VR/AR. Expertise in parallel programming, system optimization, and real-time processing. Hands-on experience with large-scale image search and recommendation systems. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Published research in top-tier conferences or journals (e.g., CVPR, ICCV, ECCV, NeurIPS). Benefits Base salary + bonus & stock options eligibility Health insurance, dental, vision, PTO days Flexible working hours and remote work options Opportunities for professional growth and development A collaborative and innovative work environment Other Notes Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience. We are an equal opportunity employer and value diversity at our company. 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 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. TO ALL AGENCIES: Please, no phone calls or emails to any employee of OneTrack outside of the Talent organization. Our policy is to only accept resumes from agencies via Workable. Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of OneTrack. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.

At SNS, we build world-class products for teams of video editors and filmmakers. We get our hands dirty with server hardware, software, storage, high speed Ethernet, cloud, AI... we're completely up and down the stack, and we like people who love to build things and aren't afraid to roll up their sleeves. If you started taking things apart and programming before you could drive a car, then you're probably someone who will love working on our team. We're constantly growing, and we're currently looking to expand our team with people who have experience in several of the areas below. If we hire you, you will be thoroughly immersed in designing and developing new products, as well as evolving our existing products—this may take multiple forms including research, architecture, coding, testing, tuning/optimization, documentation, etc. Requirements We don't expect anyone to have all of these things, but you should be the kind of person who gets excited about digging into something you've never done before, and then running with it. Linux product engineering/development (e.g. kernel, embedded, virtualization/VirtualBox, KVM/qemu, Docker, shell scripting) Development experience with C/C++, Python, .NET, Java, React, SQL Networking/storage engineering/development/tuning (e.g. mdadm/lvm2/RAID, Samba, TCP/IP, NAS, file systems like XFS/ZFS, FUSE) Cloud product engineering/development (e.g. SaaS, IaaS, AWS products like S3 and EC2 (or Azure/GCP equivalents), Stripe). Bonus if you've taken an on-prem application and migrated it to a SaaS model. Even more bonus points if you have experience with clustered file systems like Gluster or Ceph storage tuning/performance Strong interest in/embrace of AI tools, with experience applying them to more quickly complete various projects A great sense of humor, and some intense interest in subjects that most people don't understand, because those are characteristics of people who usually fit best on our team Triple bonus points if you also happen to have some experience building video-related software products or with open source software like ffmpeg. Benefits Some of what we offer to you: Competitive pay, work from home PTO Health insurance Matching 401k Weekly pay period A spot on a fantastic team that loves what they do The ability to have your contributions recognized in a big way A spirited, growth-oriented culture that results in an average tenure of 7+ years A human reviews every response we get from this post. We're not going to send you through a bot. You're not going to have to reformat your resume, and we're not going to subject you to any kind of online personality tests. In exchange, we're kindly asking that you send not just your resume, but that you also say hello and include a personal note to let us know who you are and why you think we should interview you. Thanks!

We are Rokt, a hyper-growth ecommerce leader.  Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are looking for a Senior Machine Learning Engineer Target Total Compensation: $300,000 - $325,000, including a fixed annual salary of $200,000 - $225,000, employee equity grant, and world-class benefits. As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, budget pacing, lookalike modelling, and more. What You’ll Do Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc. Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc. Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions. Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices. Requirements About You: Masters or PhD in Machine Learning 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring Good Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment. Good knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned in this benchmark: DCNV2, MMOE, Deep & Wide and ESMM Benefits About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better.  About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves and offering a great list of perks and benefits to go with it: Accelerate your career. We offer roadmaps to leadership and an annual training allowance Become a shareholder. Every Rokt’star gets equity in the company Enjoy catered lunch every day and healthy snacks in the office. Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents. Dog-friendly office Extra leave (bonus annual leave, sabbatical leave etc.)  Work with the greatest talent in town See the world! We have offices in New York, Seattle, Sydney, Tokyo and London We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week). We also get that you need to balance your life and your commitments so you have the flexibility to manage your own hours and can spend up to a week of every quarter working from anywhere. We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As the Maintenance Technician, you’ll be responsible for ensuring that all production equipment are safe and in proper operating condition. Additional duties will be to perform all tasks following the cGMP requirements. OTHER ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Acknowledge all production calls for critical point checklist and machine breakdowns Ensure all repairs and corrective maintenance performed is verified and properly documented Perform generated and all assigned Preventative and Predictive Maintenance schedule in a timely manner and following listed activities on a Computerized Maintenance Management System Monitor parts and determine minimum/maximum inventory on all assigned equipment. Record all parts used during repair and Preventative Maintenance activities. Assist Inventory Control and Maintenance Planner in physical count for costing. Collaborate with Production, Process Engineering and Product Development on quality issues and specifications Ensure housekeeping and safety compliance in the Maintenance shop Communicate all machine issues and progress of on-going maintenance undertakings and propose or recommend machine upgrade and projects for process and continuous improvement Fabricates, modifies and repair parts by using machine shop instrumentation and equipment Attend all maintenance meetings, trainings, educational workshops or webinars for updates and personal development Maintain positive team dynamic and overall department success Complete all work as assigned within established timelines and in compliance with all printed company policies and procedures Perform others duties and responsibilities, as assigned WORK ENVIRONMENT Exposure to cold temperatures in the winter and hot temperatures in the summer Work occasionally near mechanical parts and in high places Occasional duties in an outside environment Duties are performed primarily in a smoke-free environment PHYSICAL REQUIREMENTS Frequently required to stand, walk, bend, kneel, crouch, balance and reach. Regularly lift and/or move up to 50 lbs. Push/Pull up to 300 lbs. Requirements Qualified candidates will have either 2+ years of relevant experience as a Maintenance Technician in a fast-paced manufacturing set-up, or related field, or training at an accredited technical school Strong problem solving and decision-making skills Ability to work in a team environment on a variety of complex task and projects Well-developed interpersonal, organizational and analytical skills Well-developed written and verbal skills Ability to demonstrate safe working procedures Must be willing to work overtime or on weekends, as the workload demands Benefits ProCaps Laboratories provides: A starting rate of $28 an hour! Excellent Medical, Dental and Vision Insurance Health Savings Account with employer contribution Paid Time Off, Holiday Pay 401K plan with generous employer match 100% Company Life and Short-Term Disability Coverage Health & Wellness Program Gym Membership Reimbursement Program Healthy Vitamin Discount program Employee Referral Program Fantastic work environment that focuses on safety, quality, community, and amazing people. We hire top talent and celebrate the ingenuity and tenacity of our team members and leaders.

LOCATION: Between Aspen and Glenwood Springs SCHEDULE: Monday - Friday: 8:00 am - 5:00 pm | On call 24/7 SALARY: $65,000 per year. Plus 10% performance bonus. ABOUT US Worth Ross Management Company is an award-winning industry leader, and a team of extraordinary people. We have the advantage of recruiting and retaining the best talent in the HOA management industry. Diversity and inclusion are the only paths that allows forward progress and our success as a company stems from that philosophy.  ABOUT THE ROLE  Under the direct supervision of the General Manager, the Engineer will be responsible for delivering and maintaining all facilities of a residential high-rise building. General expectation is that this role maintains and preserves the life of all common area equipment, inclusive of both the interior and exterior of the building and complies with all City, County, State, OSHA, and all governmental agency mandates.  WHAT YOU'LL DO  Engineering management of a residential facility; including common areas, amenity space and parking garage. Provide quarterly cost analysis and cost projections for all utilities, chilled water, electrical, gas and on all maintenance items needed, filters, belts, valves, and maintenance equipment. Efficiency analysis and energy savings audits done on a quarterly basis. Create, execute, and maintain an automated preventative maintenance program to include all components of the building.  Implement and maintain all required maintenance SOPs as directed by GM and VP of Risk Management.  Maintain any “green energy” qualifications of the building.  Coordinate, maintain, and keep current all building component inspections.  Supervises full maintenance team and any other departments as assigned by the GM.  Develops training to ensure excellence in job performance.  Building and maintaining strong relationships with outside vendors. Coordinate contracted services and repairs, alongside the GM.  Keeps complete and accurate records of all maintenance requests submitted, commented on, and completed. Must be available for “on-call” after hours, weekends, and holidays and available for emergencies, as needed.  Ensures all safety precautions and procedures are followed while performing assigned duties.   Requirements EDUCATION/EXPERIENCE  High school diploma or equivalent WHAT YOU NEED TO SUCCEED  A minimum of 4 years of engineering experience, preferably in high-rise facilities. Should have a specific knowledge of all high-rise electrical, plumbing, stair pressurization, elevators, and mechanical systems.  Safety systems knowledge Elevator systems knowledge Fire pump and safety system knowledge Trash room / compactor knowledge Some experience with Building Link and Vantaca building management software.  An understanding that condo construction is not complete and will take place over the next several months.  This requires a need to deal with partial occupancy issues that impacts how the building systems are managed and operated. Benefits Medical Dental Vision Short term disability (STD) Long term disability (LTD) Employee assistance program (EAP) Identity theft protection Pet insurance  Retirement Paid Time Off (PTO)

Resource Innovations is seeking a highly skilled and motivaed Energy Efficiency Engineering Lead with a strong background in Utility Engineering to join our team growing team in Southern California. As an Energy Efficiency Engineering Lead, you will help customers reduce energy consumption and save money at their facilities by identifying potential energy savings measures, quantifying and summarizing project economics, supporting project implementation, and verifying installation. At Resource Innovations, we strive to make a positive difference in the world through energy efficiency. We also believe in doing the right thing, getting it right, and finding new and better ways of doing things. If you want to make a difference, value integrity, and provide quality service beyond expectations, we want to hear from you. Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we’re constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we’re leading the charge to power change Duties and responsibilities Supports implementation prescriptive, custom and meter-based energy efficiency projects in adherence to PA and CPUC guidelines. Support may include conducting site audits, completing energy modeling, economic analysis, and/or simulation to quantify energy impacts of recommendations (using spreadsheets and/or energy modeling software), developing project scopes, summarizing implementation details, and/or explaining impacts on operations. Conducts energy analysis for projects at medium to large commercial (high-tech, biotech, labs, healthcare, private institutions etc.) facilities to identify and recommend energy efficiency improvements in a variety of facility energy using systems (lighting, HVAC, compressed air, refrigeration, process heating, motors, central plant, boiler plant, pumping, fuel substitution etc.) Be the primary point of contact with customers on technical side and join calls with clients to discuss projects with technical details as needed. Writes technical reports (PFS, IR) summarizing results from energy assessments to quantify project economics (energy savings, cost savings, project cost, potential incentive, simple payback, etc.) Conducts measurement and verification (M&V) site visits to establish facility energy usage patterns, identify potential energy savings opportunities, and verify installation of energy savings projects. M&V tasks may include installing field monitoring equipment / data loggers, collecting BAS trend data, completing functional performance tests, obtaining BAS screenshots and equipment photos, and discussing project implementation with the customer and contractor Prepare regression models for meter-based projects, prepare M&V plan for projects etc. Communicates, coordinates, and assists project stakeholders and participants including program staff, contractors, and utility customers to help ensure customers are maximizing the benefits of utility programs. Delivers professional, high-quality services and builds a quick rapport with utility customers. Completes high-quality deliverables that demonstrate technical excellence, objectivity, and clarity while maintaining project budgets and schedules Requirements A minimum of a bachelors degree is required, preferably in Mechanical, Energy, or related engineering field of study. 5+ years project engineer experience with the energy efficiency industry in California Understanding of California EE policy landscape and project implementation experience in custom and meter-based projects is a must. Must have a valid U.S. driver’s license with a good driving record and a personal vehicle to visit customer sites. Must be able and willing to travel locally up to 20%. Strong proficiency with oral communication, writing, and analytical skills. Planning, coordinating, organization, and self-management in a professional environment a must. Proficient in Microsoft Office suite. Efficient in open-source tools for data analysis and model preparation. Interest in sustainability and passionate about making a meaningful impact on the environment.  Preferred: Familiarity with relevant energy efficiency codes and standards (e.g., Title 24, Title 20, ASHRAE 90.1, ASHRAE 14 Guidelines, ASHRAR Guideline 36, IECC, Code of Federal Regulations, etc.) A Master's degree preferably in Mechanical, Energy or related engineering field of study. Desire to obtain one or more of the following certifications: P.E., C.E.M., C.B.C.P. (or similar), or C.E.A. Benefits Resource Innovations offers competitive salaries based on candidate's qualifications. Resource Innovations also offers three weeks paid vacation per year, paid holidays, a 401(k) plan with employee matching funds, a discretionary bonus and an overall comprehensive benefits package. About Resource Innovations Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we’re constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we’re leading the charge to power change. Resource Innovations is an Equal Opportunity Employer, committed to ensuring equal employment opportunities for all job applicants and employees without regard to race, color, religion, national origin, gender, age, disability, marital status, genetics, protected veteran status, sexual orientation, or any other protected status. In addition to federal law requirements, Resource Innovations complies with applicable state and local laws governing non-discrimination in employment in every location in which the company does work. The compensation range for this exempt position is $84,872- $144,282. The stated range is based on a good faith estimate of the compensation range for the duties, responsibilities and skills / experience required for the position. Starting pay will be dependent on experience and internal equity. Employment with Resource Innovations is contingent upon the successful completion of a comprehensive background check and reference check. If applicable to the position, a pre-employment drug screen may also be required. The above job description and job requirements are not intended to be all inclusive. Resource Innovations retains the right to make changes or adjustments to job descriptions and/or job requirements at any time without notice.