About Very (Remote – North America) Very is a fully distributed technology firm led by expert problem-solvers who create efficient, scalable solutions that move commercial, industrial, and consumer products from pilot to production in record time. We believe that real innovation happens in the grind — working shoulder to shoulder with clients who are building the future. Our team thrives on that energy. When we’re not helping clients deliver business-critical outcomes, we’re refining our craft and celebrating what it means to do hard things well. We’ve built a collaborative, tight-knit culture that thrives in both remote and in-person settings. We’ve won numerous workplace awards over the years, including Great Place to Work certification and recognition from Parity.org as a Best Company for Women to Advance.Our clients include well-known brands like Vizio, Peloton, Clear, iHeart Radio, and Fellowes — all determined to leverage connected devices and AI to drive meaningful impact. Our job is simple: help them win. About This Role As a Lead Mechatronics Engineer, you will work with our Hardware Practice Lead and other hardware engineers to deliver high-value electro-mechanical system designs to our clients.  Our goal is to rethink and retool the hardware engineering process to align it with modern software, design and data science development methods.  What You’ll Be Working On For this role we’re looking for polymath hardware engineers who are experts in MCAD and have a familiarity with ECAD. Some of the traits we are looking for include:  - Previous experience designing and testing electro-mechanical systems. - Knowledge of Design for Manufacturing (DFM) practices for electrical and mechanical. Familiarity with: - Microprocessors, microcontrollers, IoT communications protocols, and common sensors - Hardware prototyping tools (3D printers, soldering, oscilloscopes, electronic loads, etc) - Low-level embedded firmware or embedded Linux - Data collection techniques Our mechatronics engineers work across disciplines to deliver cutting-edge hardware solutions to our clients, fast. Outcomes - Delivery of mechanical/electrical hardware that meets the time, budget, and feature needs of Very’s customers. - Successful design and execution of hardware releases and test plans. - Project team adherence to Very’s standard of best practices across all engineering disciplines. Responsibilities - Work a target of 38 hours per week on a Very client engagement. - Serve as a Tech Lead overseeing the technical delivery on Very’s client engagements. - Oversee and/or design electronic/mechanical hardware for Very’s client engagements. - Serve as a technical interviewer in Very’s interview process. - Support sales in sales activities and statement of work generation. - Work with the Director of Hardware to improve standards and processes for hardware delivery. Minimum Qualifications Experience: - BS or higher in a related engineering field (Electrical Engineering, Mechanical Engineering, etc) - 5+ years of relevant experience Skills: In addition to experience, these are the critical skills we look for in all technical roles, and how they should be demonstrated at the Lead level. - Communicates Effectively: Demonstrates expert level communication skills. Can comfortably present information to clients that is clear and concise (verbal and written).  Can negotiate for positive outcomes with clients on projects that are any size, and any level of difficulty. Leans into complex conversations and effectively addresses escalated situations resulting in team/client alignment. - Independently resets the tone of the team or environment.  Redirects the team and client when needed on complex projects.  Negotiates positive outcomes by incorporating ideas and opinions from internal and external resources.  Thoughtfully considers all outcomes before jumping to change.  Is decisive, direct and respectful when communicating alternate solutions and ideas to influence for buy-in or change. - Teaches best practices and grows the capabilities of others. - Estimates are highly accurate across a wide array of technical domains. They use their knowledge to help their team provide accurate estimates about work across an entire project.   - Demonstrates mastery of working within an agile framework; Knows how to break down technical work into tickets, sprints, and epics without assistance. Ideal Additional Qualifications/Experience: - 10+ years of experience - M.S.+  in Mechanical/Electrical Engineering or closely related field Requirements: - Must be US-based. **Unfortunately, applicants who do not meet these criteria will not be considered.** Compensation Base Compensation Between USD $120,000 and $150,000 per year, commensurate with experience. Variable Compensation Up to 15% in the first year   Perks & Benefits - 401k match - Comprehensive health, dental, and vision insurance - $200/mo cell/internet stipend - $600/yr home office equipment stipend - Paid parental leave (95th percentile in the U.S.) - Continuing education stipend ($2,500/yr after one year) - Loaned MacBook Pro and other necessary equipment Why Work for Very We do not promise an easy ride — we promise meaningful work. We work hard because our clients’ success depends on it, and we take pride in delivering when others can’t. We collaborate closely, move fast, and stay grounded in results. We take joy in the process — in the problem-solving, the iteration, and the shared wins that come from doing the hard things well. If you’re looking for a place where every project matters, where the standards are high, and where you’ll grow by pushing yourself and others — welcome to Very. IMPORTANT: 1. We don't currently provide Visa Sponsorship. Don't apply if you require this. 2. This job is remote but if you’re not located in the region or country mentioned in the post’s title, do not continue. Your application won’t be reviewed. Interviewing for a new company is a serious time commitment for all parties involved. Please take the time to read this and thoughtfully consider if we would be a good fit for one another.  No contractors or agencies. Seriously. #LI-Remote

TheSoul Group is a leading creator business platform positioned at the heart of the creator economy. Our original videos, animations, and editorial stories inspire audiences in 21 languages, across 60 platforms and 20 websites. Together with our network of 15,000 talented creators, we reach over 5 billion followers and generate more than 100 billion monthly views on social media. As a global powerhouse in digital media, we drive viral success for creators and brands worldwide through a wide range of services, leveraging our expertise in content distribution, localization, and social media management. We’re the creators behind global phenomena such as 5-Minute Crafts and BrightSide, and we continue to expand our influence in the creator economy through strategic acquisitions like Mediacube and Underscore Talent. We’re a dynamic, remote-first global team, fostering award-winning creativity, a no-red-tape approach, and great vibes! We’re seeking an experienced, camera-ready gaming personality who can independently produce high-quality, broadcast-level content from their own studio setup. This role is ideal for a confident on-camera host with a deep understanding of gaming culture and strong technical production capabilities. Responsibilities - Serve as the on-camera host for gaming-focused video content across digital platforms (YouTube, Twitch, branded content, social, and broadcast). - Independently film high-quality video segments, reviews, commentary, explainers, and gaming-related features. - Deliver engaging, polished performances with strong pacing, clarity, and personality. - Set up, light, frame, record, and monitor shoots without in-person production support. - Maintain consistent studio-level visual and audio quality across recurring productions. - Integrate gameplay footage, graphics, or on-screen elements into recordings when required. - Prepare scripts or talking points in advance; effectively utilize a teleprompter when needed. - Ensure filming environment reflects gaming culture and aligns with brand standards.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This internship at Quansight is an opportunity to contribute to a PyData open source project, with dedicated mentorship from a project maintainer or contributor and interacting with the whole Quansight team. - Work on a challenging topic that will have significant value to the open-source community. - Potential projects include: - Working on NumPy, SciPy, Jupyter, conda-forge, stdlib.js, Polars, Narwhals, data-apis.org, and more. - Building a realistic performance benchmarking suite for a package. - Improving interoperability between two projects. - New feature development. - Creating a design system for accessible data visualization. - Implementing a new website design. - Refine skills such as: - Contributing to open source. - Pair programming. - Conducting effective code reviews. - Communication and collaboration. - Time management. - Work under the guidance of experienced mentors. - Network with other interns and the larger Quansight team. Qualifications - Good working knowledge of Python and Git is necessary. - Previous experience contributing to an open-source project is helpful but optional. - Familiarity with design tools such as Figma or Penpot is preferred for design-related internships. Requirements - Flexible start date: mid-June to mid-July. - Duration: 3 months. - Time commitment: 30-40 hrs/week. - English language proficiency: ability to communicate in written and oral English. - This program is open to current and non-students, including career changers, returners after a break in the workforce, boot camp alumni, self-taught developers/designers, etc. Benefits - This is a paid internship - the stipend is $1,500 per month for 40 hrs/week. - Competitive compensation. - Comprehensive sick policy and parental leave. - Generous amount of flexible paid time off. - Comprehensive benefits package for applicants located in the United States, Canada, Germany, or the UK. Application Process - Submit your application by the 9th of March 2026. - Include your CV and a one-page cover letter detailing specific projects, motivations, and interests in open-source software. - If applicable, share a link to your portfolio, GitHub profile, blog, or other resources. - Interview process includes: - First interview focusing on getting to know you and your passions. - Technical interview without code challenges, focusing on a walkthrough of your code or relevant projects. - Results communicated within 2-3 weeks after interviews. Commitment to Diversity, Equity, Inclusion, and Belonging Quansight values diverse creative practices and forms of knowledge, encouraging applications from all equity-seeking communities. We are an equal opportunity employer and do not discriminate based on various characteristics.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are hiring experienced NLP & Audio Analytics Trainers to deliver live online training sessions with hands-on labs and real-world projects for working professionals. - Conduct live, instructor-led online classes - Deliver coding demos, assisted practices, and projects - Address learner queries and ensure engagement Qualifications - 10+ years of hands-on experience in NLP and/or Audio Analytics - Strong Python and ML/DL skills - Prior online/classroom training experience Requirements - Natural Language Processing - NLP fundamentals, tools, and libraries (NLTK) - Text preprocessing, feature engineering, and visualization - Text vectorization: One-Hot, BoW, TF-IDF - Sentiment analysis using Naive Bayes - Word embeddings: Word2Vec, GloVe - Machine Translation and document search (TF-IDF, BM25) - Sequence models (RNNs) and challenges - Attention models, Transformers, BERT, GPT - Audio Analytics & Speech - Audio processing using Python (Librosa, PyDub) - Audio visualization and feature extraction - Digital Signal Processing and MFCCs - Deep Learning for speech recognition - Transfer learning for speech models - Audio synthesis and music generation using GANs Compensation The expected compensation for this role for candidates from the United States is $50 - $55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range.