Geologist

Environmental Works is currently hiring for an Experienced Underground Utility Locator for our Heating Oil Tank Department. The primary duties of an Underground Utility Locator will include: -Operate locating equipment including ground-penetrating radar (GPR), magnetic detectors, and pipe and cable tracers. -Accurately mark located objects, complete the necessary documentation, and take detailed photographs to assist our project managers and field staff with subsequent work. -Prepare reports documenting your daily findings and submit them to our customers. -Interface directly with our clients and their representatives while on a project site. -Cross-train with our Radon Mitigation department to assist with in-home radon testing as needed. An Experienced Underground Utility Locator is also someone who: -Has previous utility/underground tank locating experience (preferred but not required). -Strives to complete every job with a safety mindset, professionalism, and proficiency. -Brings excellence in customer service each day to increase our customer base and demonstrate our commitment to quality and safety. -Is a problem-solver by nature. -Has a growth mindset and is motivated to improve their technical and customer service skills. -Has a clean driving record and criminal background If you're a motivated individual with a passion for providing excellent service, join our dynamic team as an Underground Utility Locator where your skills will be appreciated amongst our family of employees APPLY NOW! Job Done Right is our Motto. Work Hard, Play Hard is our Culture. Job Type: Full-time Benefits: 401(k) 401(k) matching Dental insurance Health insurance Life insurance Opportunities for advancement Paid time off Parental leave Referral program Vision insurance

Lithos Carbon is an innovative early-stage carbon removal company and a leader in enhanced rock weathering technology. We develop cutting-edge solutions to combat climate change while improving soil health for agriculture. Based in Silicon Valley, our global center for technology and innovation offers an exciting opportunity to join a mission-driven team advancing sustainable carbon dioxide removal (CDR). Internship Overview: As an Environmental Geochemistry Intern on the Research Partnerships team, you will gain hands-on experience combining laboratory soil sample preparation, wet benchtop experiments, and quantitative data analysis. This role is ideal for undergraduates or recent graduates with a background in environmental geochemistry, geology, soil science, or environmental science who also have data analysis skills. You will work closely with the research team to prepare and analyze soil samples, maintain detailed lab notes, and contribute to interpreting large-scale ERW datasets. This internship offers exposure to a fast-paced, high-pivot environment requiring adaptability and proactiveness. Key Responsibilities: Prepare and process soil samples, including potentially labor-intensive physical preparation and wet-benchtop experimentation. Conduct soil experiments under supervision, maintaining accurate and detailed lab documentation. Organize, analyze, and visualize experimental data; support programming and data analysis efforts using Python. Assist with data management and help calculate carbon dioxide removal metrics from Lithos’ large-scale ERW datasets. Collaborate with team members to ensure sample tracking and laboratory organization. Requirements Qualifications: Currently enrolled in or recently graduated from an undergraduate program in environmental geochemistry, geology, soil science, environmental science, or related field. Demonstrated skills in data analysis, with experience in Python strongly preferred. Comfortable performing laborious sample preparation and wet lab work. Strong attention to detail and commitment to rigorous lab documentation. Interest in environmental sustainability, carbon removal science, and advanced analytical techniques. Ability to work independently and collaboratively in a fast-paced, dynamic research environment. Preferred Traits: Motivated, organized, and eager to learn both laboratory and computational methods. Curious about applying advanced analytical tools to environmental research. Strong communication skills and proactive engagement with complex datasets. If you are excited to contribute to cutting-edge carbon removal research as part of Lithos Carbon’s Research Partnerships team, please submit your resumé and a brief cover letter explaining your interest and relevant skills. Join us to be part of a team working toward a more sustainable future.

Job Title: Mushroom Harvest Technician (Oakland West) Compensation: $25/ hr Employment Type: Part-time Overview We are a small medicinal mushroom company rooted in science and guided by intention. Our focus is on crafting high-integrity mushroom products that support healing, self-discovery, and joy — always with a commitment to transparency, sustainability, and natural ingredients. We’re currently hiring one part-time Mushroom Harvest Technician to join our Oakland-based team. This is hands-on work best suited to individuals with a high attention to detail, a steady hand, and a passion for natural products. You'll be working in a focused, sober, and supportive environment with a small team that values quality, a motivated pace, and attention to detail. Qualifications Experience in cannabis trimming or similar roles is preferred Comfortable working in a sober work environment Strong attention to detail and consistency in a fast-paced production setting Good hand-eye coordination and manual dexterity Able to sit or stand for extended periods and perform repetitive tasks Self-motivated and able to work independently Team-oriented with solid communication skills Comfortable working in a fast-paced production environment Responsibilities Efficiently harvest mushrooms from fruiting blocks with precision and care Gently brush and sort fresh mushrooms into bins Return resealed bags to shelves or pull them for cold storage Maintain clean workstations and follow safety protocols Assist with occasional packaging of edibles or other products as needed Work efficiently and maintain a steady pace to meet daily production goals Pay Structure Flat hourly: $25/hr for all tasks (harvesting, drying, packaging support, deep cleaning, QC, etc.). Same rate during training. Schedule Part-time: 2–4 shifts/week, typically 8 hours per shift Weekly schedule is finalized and posted by Friday for the following week based on harvest load; we communicate any changes as early as possible Shifts will include a mix of harvest-focused and lighter coverage days for quality control and upkeep Start: ASAP Physical and Mental Demands This job requires periods of standing, sitting, lifting, repetitive motion, and close visual work. Applicants should be comfortable performing physical tasks in a focused setting for multiple hours at a time. Reasonable accommodations will be made as needed. To Apply Please email the following to be considered: Your resume 2–3 references A brief description of who you are, why this role interests you, and why you believe you'd be a great fit for the position We look forward to hearing from you!

At Oura, our mission is to empower every person to own their inner potential. With our award-winning Oura Ring and app, we help over 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day. We are looking for a Staff Machine Learning Data Scientist to join our Science team. This high-impact role will focus on building robust, scalable, and accurate physiological machine learning models from large-scale wearable and health datasets. You’ll work closely with cross-functional partners across product, software engineering, and testing teams to develop the next generation of Oura's health insights. This is a remote US role with a slight preference for candidates based on the East Coast.  We have offices in San Francisco and San Diego for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations. What you will do:  Design and develop scalable data generation pipelines that prioritize robustness, reproducibility, and quality across diverse physiological signals. Research, prototype, and implement novel ML architectures for large-scale time-series modeling of health and physiological data. Build scalable training pipelines to support high-throughput model development and iteration. Design comprehensive evaluation strategies for model performance and clinical validity. Collaborate cross-functionally with engineering, product, and validation teams to bring scientific models to production. Plan and support long-term roadmap and mentor junior team members on best practices in modeling and deployment. Requirements We would love to have you on our team if you have: Have a PhD in machine learning, artificial intelligence, biomedical engineering, or a closely related field. Bring 5+ years of relevant industry experience (post-PhD) working with applied ML in a product setting. Have hands-on experience developing and deploying large time-series models, especially those built on sequential physiological or wearable data. Demonstrate strong programming skills in Python and experience with cloud-based ML (e.g., AWS, Github, Pytorch, Docker). Possess a deep understanding of scalable ML workflows, including data pipelines, evaluation frameworks, and deployment to production. Self-starter and vision-driven with strong collaboration and communication skills and thrive in cross-functional settings. (Bonus) Have a background in physiology, health sensing, or digital biomarkers. (Bonus) Have experience shipping ML models in production environments and conducting real-world validation. Benefits At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: Competitive salary and equity packages Health, dental, vision insurance, and mental health resources An Oura Ring of your own plus employee discounts for friends & family 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. Region 1 $182,000 - $228,000 Region 2 $169,000 - $211,000 Region 3 $159,000 - $199,000 A recruiter can determine your zones/tiers based on your US location. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

About the Role: We are seeking a detail-oriented PLM Analyst with proven expertise in asbestos testing. The ideal candidate will bring hands-on experience in Polarized Light Microscopy (PLM) analysis of bulk asbestos samples and have formal training or certification in the field. Key Responsibilities: Perform asbestos analysis of bulk building materials using PLM in accordance with regulatory methods. Accurately identify and quantify asbestos fibers. Prepare and analyze samples with a high degree of precision and attention to detail. Document and report findings in compliance with laboratory quality assurance standards. Work independently or collaboratively within a laboratory team. Qualifications: Demonstrated experience conducting PLM asbestos analysis. Must have completed training through the McCrone Research Institute or hold documented approval/sign-off from another accredited laboratory. Strong attention to detail, analytical skills, and ability to maintain accurate records. Familiarity with applicable regulatory methods and quality control procedures. What We Offer: Flexible scheduling (full-time or part-time opportunities available). Competitive compensation, commensurate with experience. Supportive team environment with opportunities for professional growth. Please send your resume and proof of qualifications to the email address below.

Boston, MA, US | Full-time | Permanent | Hybrid   Salary: $158k - $200k | DOE  + bonus plan + equity   The salary range for this role is broad, as we are able to consider varying levels of experience.  Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements.    About us   Riverlane’s mission is to make quantum computing useful, sooner. From advances in material science to complex chemistry simulation for drug design and discovery, quantum computers will help solve some of the world’s most important challenges. Riverlane is building the quantum error correction stack, Deltaflow, to make this happen. It’s a complex problem that requires a range of skills, talent and passion.   We recently raised $75M in Series C funding to accelerate our cutting-edge R&D in quantum error correction (QEC), and are partnering with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.      About the role   This is a unique opportunity to play a critical role in driving Riverlane’s qLDPC research in the US. Currently, our team focuses on qLDPC decoder research, and we are expanding into novel qLDPC codes and approaches to logical operations. As qLDPC Lead, you will help shape and guide this expansion - whether through leadership in code development, advancing decoder research, innovating in logical operations, or a combination of these areas. The scope of this role is flexible to match your expertise, while offering the opportunity to influence the full scope of our qLDPC research.  Working closely with other quantum science leads at Riverlane, you will identify skills gaps, guide hiring to build a world-class team, and ensure our research aligns with Riverlane’s mission to deliver our Quantum Error Correction Stack.  You will collaborate extensively with our internal teams and world-leading partners, ensuring your contributions have a direct impact on the path to fault-tolerant quantum computing.    What you will do   As qLDPC Lead at Riverlane, your work will vary, depending on your specialism, and will include:  Setting the technical direction for qLDPC research (covering any combination of code design, decoder development, and/or logical operations), in line with Riverlane’s QEC roadmap and strategic research plan  Performing original research in your area(s) of focus e.g. developing new qLDPC codes, designing and optimising decoders, or pioneering logical operation schemes  Collaborating with teams across the QEC stack to integrate your work into Riverlane’s end-to-end solutions  Publishing high-impact papers and presenting at top international conferences  Driving innovations that lead to patents and strengthen Riverlane’s technology portfolio  Building strong relationships with external collaborators and partners  Acting as a scientific mentor and reviewer for colleagues’ work  Requirements What we need   PhD in Mathematics, Physics, Computer Science, or a related technical field (or equivalent professional experience)   Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences in a clear, and simple way   Substantial relevant industry or postdoctoral experience in quantum computing   Deep expertise in high-rate qLDPC codes and/or decoders, evidenced by a strong research track record in this area   Experience of leading scientific projects, involving multiple people   Proven ability to undertake high-quality work, reflected by its impact on the broader community      Even better if you have   Extensive technical experience and leadership in quantum error correction   Substantial experience as a line manager or team lead   Substantial experience as a hiring manager   Knowledge of Python and/or C++   Familiarity with hardware, such as FPGAs or ASICs   A track record of winning contracts or grants   Experience leading successful contract or grant proposals as a co-PI   Experience with professional software development practices   Benefits What you can expect from us    A comprehensive benefits package that includes an annual bonus scheme, private health insurance, life insurance and a contributory retirement fund   Equity, so that our team can share in the long-term success of Riverlane    Generous annual leave, and enhanced family leave    A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities     A learning environment that encourages individual, team and company growth and learning, including training and conference budgets       How to apply   Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.      We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role.       If you have any queries, please contact jobs@riverlane.com.      Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.    Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements.  If this applies to you, we still encourage you to apply - you may be a great fit, even if you don’t meet every single qualification. We’d love to hear from you.  If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help.