RES is looking for a Scientist II to join our team.

As a Scientist II at RES, you will support the implementation, monitoring, and success of ecological restoration projects across diverse ecosystems. This is a mid-level field and data-focused role that combines fieldwork, technical reporting, and cross-functional coordination to support permitting and compliance documentation. You will collect and manage data, contribute to project reporting, and bring applied knowledge of restoration science to project execution.

Watch the projects our scientists work on here.

Why You’ll Love This Job:

• You’ll get your boots dirty—literally. You’ll spend meaningful time in the field, collecting the data that drives real-world ecological restoration.
• You’ll see the impact of your work. Your efforts support the restoration of wetlands, streams, and habitats that improve ecosystems and communities across the region.
• You’ll learn from the best. With the support of senior scientists and cross-functional project teams, you’ll continue to grow your expertise in restoration science and applied ecology.

What your day-to-day might look like:

You’ll begin your day prepping field gear for a monitoring visit to a stream or wetland mitigation site. Once on-site, you may collect data using GPS, YSI meters, or turbidity sensors, following project-specific protocols and QA/QC standards. You’ll help guide junior team members, ensure field datasheets are accurate, and troubleshoot equipment as needed.

Back at the office, you’ll enter and analyze field data, draft sections of monitoring reports, and interpret site plans or planting palettes. You might meet with design or regulatory teammates to discuss crediting metrics, or help evaluate a site’s feasibility based on regulatory or ecological constraints. You’ll balance independent work with collaborative efforts to move restoration projects forward.

We would like to talk to you if you have many of the following:

• Bachelor’s degree in environmental science, biology, geology, or a related natural/physical science field
• 2+ years of experience in fieldwork, sampling, ecological monitoring, etc.
• Experience in collecting field data independently and following SOPs
• Experience in Wetland delineation and stream assessment
• Experience with vegetation surveys
• Comfortable evaluating site conditions and regulatory constraints
• Familiar with project task tracking and regulatory requirements
• Proficient in GPS/GIS tools
• Skilled in data analysis and technical report writing

What will make you stand out:

• Ability to apply ecological functional protocols
• Certifications (e.g., ArcGIS, drone pilot, YSI/turbidimeter experience) -

You Will Thrive in This Role If You:

• Are comfortable in the field and in the office—and enjoy a balance of both
• Can collect, organize, and interpret scientific data with care and accuracy
• Communicate effectively and take ownership of your tasks
• Can help guide junior field staff and contribute to team learning

RES is looking for a Scientist I to join our team working around Lakeland, FL. 
As a Scientist I, you will play a lead role in the field execution and maintenance of mitigation bank and ecological restoration projects. Primary work duties will include mowing, planting native groundcover, spraying invasive plants, and controlled burning on mitigation banks in remote locations, as well as inspecting and supporting subcontractor work on these duties. You’ll operate a variety of equipment and heavy machinery, and ensure quality, safety, and environmental goals are met on every project. This is a hands-on position for someone who loves working outdoors and is passionate about restoring natural ecosystems.

Why You’ll Love This Job
You’ll see the tangible impact of your efforts on biodiversity, water quality, and climate resilience.
You’ll work across diverse landscapes, gaining hands-on experience in a variety of restoration projects.
You’ll be part of a supportive team that values safety, integrity, accountability, and excellence.
You’ll use cutting-edge restoration tools and techniques in the field.
 

A Day in the Life
As a Scientist I, your day starts by driving to our remote project sites to lead and/or supporting field crews in implementing critical restoration tasks like planting, seeding, erosion control, herbicide application, and invasive species removal. You’ll ensure these tasks are completed safely, efficiently, and in line with project goals.
You’ll be responsible for safely operating and maintaining various types of equipment, including trucks with trailers, UTVs, skid steers, chainsaws, backpack sprayers, and GPS units. Before work begins, you’ll facilitate daily safety meetings, model proper PPE usage, and consistently maintain a Samsara driving score above 70. Travel to and between project sites is significant.
Throughout the day, you’ll interpret project plans and ensure that all fieldwork aligns with planting plans, erosion and sediment control (E&S) plans, and invasive management standards. You’ll also train and mentor field staff on equipment operation, plant identification, herbicide handling, and restoration best practices.
In collaboration with Restoration Supervisors and Managers, you’ll contribute to daily and weekly planning to ensure smooth operations. You’ll also complete daily work logs, upload project photos, and communicate needs for materials, equipment, and personnel.
Depending on the season and region, you may participate in prescribed burns, which requires S130/S190 certifications. You should be prepared to work outdoors in all types of weather, lift up to 50 pounds, and navigate uneven or challenging terrain.

We would like to talk to you if you have many of the following:

• High School Diploma or GED
• 2+ years of field experience in ecological restoration or related work
• Valid Commercial Pesticide Applicator License in applicable categories (or ability to obtain)
• Proficiency operating and maintaining field equipment, including trailers, skid steers, chainsaws, and backpack sprayers
• Proven experience conducting herbicide treatments and identifying native/invasive plant species
• Advanced use of GPS mapping tools
• Experience leading field crews and training others in restoration tasks
• Experience with prescribed fire and valid S130/S190 certifications (per region) Ability to travel a minimum 75% of the time throughout South and Central Florida
• Bilingual preferred - Spanish & English
• Ability to troubleshoot and perform maintenance on equipment such as chain saw, skid steer, 0-turns, welding, tractors

 
Physical requirements:
You must be able to lift 50lbs, walk over uneven surfaces and up/down hills, climb on construction equipment and work outdoors and in inclement weather
 
What Will Make You Stand Out
Demonstrated leadership in the field delegating tasks and mentoring less experienced crew members
Familiarity with RES projects or working within a performance-driven restoration company

You Will Thrive in This Job If
You are dependable, detail-oriented, and self-motivated
You enjoy working outdoors and don’t mind tough conditions or variable weather
You are safety-conscious and take pride in following and promoting safety protocols
You communicate clearly and respectfully across all levels of a team
You’re solutions-oriented and proactive in identifying and resolving challenges
You love working in a team environment and contributing to a shared mission

This position will be responsible for performing non-research biological science work utilizing microbiological and molecular techniques, including, but not limited to, DNA extraction and real-time polymerase chain reaction (real-time PCR) to rapidly identify and characterize potential pathogenic bacterial and viral threat agents.

Responsibilities:

• Handling, receipt, and processing of operational, Quality Assurance (QA), and proficiency test (PT) samples potentially containing biological threat agents.
• Preparing reagents and samples.
• Familiarity with Good Laboratory Practice (GLP).
• Decontamination of workspaces, including Biological Safety Cabinets (BSCs), hoods/air boxes, equipment, and other items associated with processing and analysis activities.
• Maintaining chain-of-custody (CoC).
• Interpretation of results.
• Data entry utilizing computerized or computer-linked systems.
• Performing routine equipment calibration, cleaning, assembly, and maintenance.
• Collecting, processing, and analyzing internal laboratory swipes/swabs for Quality Assurance/Quality Control (QA/QC) and contamination monitoring.
• Proper disposal of biohazardous waste.
• Restocking and maintaining proper inventory of necessary supplies.
• Supporting BW Program logistics in conducting and documenting annual inventory of DHS-procured durable equipment and property.
• QA/QC and acceptance testing of reagents in accordance with applicable Standard Operating Procedures (SOPs) and the Laboratory Operations Quality Assurance Program Plan (QAPP).
• Adhering to QA/QC requirements in accordance with the Public Health Laboratory quality management systems and the QAPP.
• Maintaining documentation of records demonstrating compliance with applicable training/retraining, competencies, and document reviews.
• Analyzing routine external QA samples in accordance with the BW SOP’s and QA Program guidance.
• Proper archiving, storage, and shipping of samples.
• Follow and adhere to written procedures and accepted practices in accordance with federal, state, and local regulations, safety, security and dress code policies, procedures, and guidelines, including DHS Safeguarding Sensitive but Unclassified (For Official Use Only) Information (January 2005) when visiting or working at Government facilities.
• Preparing written and oral technical reports, answering questions, and making recommendations to the Lead Biological Scientist for inclusion in comprehensive reports.
• Accurately performing work with confidence.
• Demonstrate competency in various testing methodologies (e.g., multi-center studies), evaluate potential products and processes against unique environmental backgrounds, and meet established deadlines.
• Must be present for all hours of the workday and be available 24/7/365 to respond in case of emergency. Rotating weekends and some holidays are required.

QUALIFICATIONS: 

Master’s degree or Ph.D. from an accredited university in microbiology, molecular biology or related course work in biological sciences, and REQUIRES at least one (1) year of laboratory bench experience utilizing polymerase chain reaction (PCR), aseptic techniques and biological assays, and at least one (1) year of experience serving as a Senior Scientist or Team Leader of a laboratory team/project.  

OR

Bachelor’s degree from an accredited university requires four (4) years of laboratory bench experience to include 4 (4) years of utilizing polymerase chain reaction (PCR), aseptic techniques and biological assays, including at least one year of experience as a Team Leader/Senior Scientist. Laboratory training that is assigned or accompanies an associated course is not considered applicable training. 

This position supports a federal contract which requires that all employees and job applicants hold a valid Green Card or US Citizenship at the time of application.

#LI-OnSite

The Sr. Water Quality Client Solutions Manager (WQCSM) is responsible for selling advisory services, construction, and design-build water quality projects. The position is vital to the region’s sales and business development function and actively promotes RES’ solutions across the Southeast, including Tennessee, North Carolina, South Carolina and Georgia.  This position can be based in Raleigh, NC, Charlotte, NC, Athens, GA, Charleston, SC, Nashville, TN, or an alternative / remote location within the Southeast may be considered.

The candidate will possess in-depth knowledge of water quality regulations and ecological restoration practices as they pertain to improving water quality, and will have experience in business development/sales, project development, and delivery, particularly in integrated or alternative delivery methods (e.g., design-build, pay-for-performance). This role collaborates with clients in early sales efforts to understand their water quality issues.  The WQCSM coordinates with internal and external project team members to win business, execute projects, and drive growth in this sector. Key candidates will have experience with proposal writing/development, project discovery, advancing projects through a complex, lengthy sales process, and concept development.

The WQCSM works with the National Water Solutions Team to market watershed-scale integrated delivery projects in water quality and resilience directly to prospects and clients across the United States. The position is vital to the company’s strategic vision for landscape-scale restoration.

Responsibilities

• Achieve a defined annual sales target that enables RES to achieve its strategic growth plan
• Prospect and develop a sales pipeline of 4x to goal and drive growth in the core business and emerging strategic solutions
• Lead multi-disciplinary teams in the RES sales process to market its solutions to a list of target clients, to include working with RES’ marketing and proposal teams.
• Position RES as a strategic advisor that monitors relevant client issues and engages with innovative solutions
• Attend and speak at conferences and trade groups, and identify other external leadership roles to elevate brand awareness for RES and drive lead generation 
• Monitor and share feedback about changes in customer behavior and preferences so RES can actively refine its offering

We would like to talk to you if you have many of the following:

• BA/BS Biology, Environmental Science, Geology, Hydrology, Engineering, Agricultural Science, or similar Science
• Three or more years of Regulatory or Environmental consulting experience as a “seller-doer” responsible for leading the pursuit and delivery of projects
• Demonstrated existing relationships with public agencies and regulators, private developers, consulting and engineering firms, non-profits, and academia within the Southeast
• Demonstrated ability to sell to multiple stakeholders and create a consensus that enables a commercial booking
• Experience in the review and preparation of regulatory documents and deliverables, and responding to agency comments
• Advanced understanding of and experience with relevant environmental regulations and permits/approvals (e.g. CWA 404/402/401, NWP/IP, NPDES, ESA)
• Sound understanding of restoration design principles, approaches, and supporting technical information, such as engineering design plans, functional calculations, and ecological data
• Able to independently access state and federal databases to extract specific information and interpret and communicate the results of data collected
• Ability to travel up to 50% of your time, business depending

What will make you stand out?

• Strong familiarity with GIS capabilities and functions.
• Exposure to estimating, scheduling, and budget development for project delivery
• Experience leading a multidisciplinary team in a defined sales process to win projects
• Advanced Degree or additional qualifications in Project Management, such as Project Management Professional, that indicate an ability to work with multi-disciplinary teams
• Relevant ecological restoration certifications, such as Professional Wetlands Scientist, Wetland Professional in Training, Certified Ecological Restoration Practitioner, or a similar credential
• Experience with grant writing or working on grant-funded projects, including federal, state, or other funding sources, is highly desirable.

The Data Scientist I supports statistical analyses of large datasets, the development and deployment of Machine Learning (ML), multimodal Deep Learning (DL), and Artificial Intelligence (AI) solutions that improve the relevance and value of ads across our Ad Exchange, Contextual Platform, and Attention Measurement Platform. This role focuses on applying strong analytical foundations, building and evaluating ML and DL models, leveraging general AI concepts and techniques, while also partnering closely with the Engineering, Product, and Data Science team to improve ad-serving performance, operational decision-making and lead development of new AI products that best serve the business. 

The ideal candidate is curious, data-driven, and eager to develop a strong understanding of the advertising domain and the systems that power large-scale decision-making. You will work with large datasets, contribute to production AI systems, and gain hands-on experience across the ML lifecycle — from exploration to monitoring.

Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. For this position, in-person/office collaboration is required 2 days per week, supporting a balanced approach to flexibility and team engagement.

What You'll Achieve

• Support the translation of business and product requirements into data-driven analyses and ML solutions
• Partner with Engineering team members and senior Data Scientists to develop, test, and deploy ML and DL models
• Conduct exploratory data analysis to inform feature development and modeling approaches
• Build, run, and maintain regular pipelines to analyze production data, generate KPIs, and prepare automatic retraining of existing models
• Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms
• Train, evaluate, and iterate on traditional ML models and multimodal deep learning models under guidance from senior team members
• Design and maintain Looker dashboards and other Business Intelligence (BI) tools to track Key Performance Indicators (KPI) for key stakeholders
• Develop and deploy agentic pipelines and other LLM-powered applications, including prompt engineering, tool use, and evaluation of model outputs
• Contribute to existing Machine Learning Engineering (MLE) workflows for model training, deployment, and monitoring
• Document analyses, models, and broader learning to support knowledge sharing across the team and non-technical audiences
• Continuously expand on statistical and AI foundations while learning new AI/ML techniques, tools, and advertising-domain concepts

Skills You'll Bring

• Bachelor’s degree in a quantitative field (e.g., Statistics, CS, Math, Physics, or Economics).
• 1–2+ years in a data-driven role such as Analytics, Data Science, or ML Engineering.
• Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV.
• Dependable SQL skills and experience designing pipelines or DAGs using tools like Airflow or Astronomer.
• Exposure to cloud environments (AWS/GCP, Databricks, Snowflake) and large-scale query tools like Spark or Snowpark.
• Strong grasp of A/B testing, experimental design, and statistical concepts (regression, classification, optimization).
• Experience with LLM prompting and interest in frameworks like RAG, LangChain, or agentic systems.
• Ability to design dashboards for diverse audiences and collaborate effectively with Product and Engineering teams.

What We Offer

At GumGum, competitive base pay is a part of a total rewards package, which also includes benefits, an emphasis on recognition, development, and wellness. The reasonable estimated base pay range for this role is from $128,000-$130,000 annually. The actual amount may be higher or lower. Individual compensation will vary based on factors including, but not limited to, relevant qualifications, work location, and labor market conditions.

The total rewards package offered also includes an employer-matched 401(k) retirement plan, and, depending on the role, participation in a bonus, commission, or stock incentive program. Your recruiter can share more specifics during the hiring process. Learn more about our U.S. benefits & perks package at gumgum.com/benefits.

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Data Scientist II, Natural Language Processing (NLP) Specialist in the Analytics Division of the Technology Department of the ACLU’s National office in New York, NY, San Francisco, CA, or Washington, DC. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the Technology Team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public. 

This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).

WHAT YOU'LL DO 

Reporting to the Data Science Manager — Algorithmic Justice Specialist and collaborating closely with our DevOps Engineering Team, Product Manager for Discovery, and Algorithmic Justice Fellow, the Data Scientist II, NLP Specialist, will support development and evaluation work for high-priority, carefully scoped projects using NLP to support the ACLU’s mission. In this role, the NLP Specialist will be responsible for evaluating proposed uses of generative AI and non-generative natural language AI systems, providing recommendations on whether AI tooling is appropriate or ill-suited for various tasks, and when appropriate, contributing to the development and implementation of AI-based solutions to support the organization’s mission.  

YOUR DAY TO DAY

• Work with various teams and departments to evaluate proposed AI use cases for feasibility and alignment with ACLU values and requirements related to privacy, security, transparency, bias, and environmental impacts  
• Provide recommendations to department and organizational leaders on whether AI tooling is appropriate or ill-suited for various tasks and use cases 
• Develop recommendations and architecture plans for intentional, carefully crafted uses of NLP tooling, appropriately selecting generative or non-generative AI systems and related guardrails and monitoring based on the context and requirements of the use case 
• Contribute to the development and implementation of AI-based solutions when appropriate, collaborating with various departments to ensure successful design, deployment, and continuous evaluation of such systems 
• Contribute to the establishment of AI governance practices and standards in collaboration with colleagues across the organization 
• Contribute to the development of context-specific, high-quality benchmarks for language modelling systems tailored for civil rights and public interest organizations 
• Contribute to various other projects supporting the ACLU’s litigation and policy work by applying natural language processing methods to policy or regulatory text data  
• When relevant, collaborate with academic and civil society researchers to turn your learnings and insights into resources to benefit other public interest organizations 
• Brief departmental leadership on relevant AI research and developments and prepare materials for senior leaders’ speaking engagements on AI issues 
• Communicate to non-technical audiences—including ACLU lawyers, policy advocates, and other staff—details of how large language models (LLMs) and small language models (SLMs) are designed and deployed, including their civil rights implications 
• Implement tooling to estimate the environmental impact of deployed AI systems 
• Stay abreast of important developments in the generative AI research and development space 

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Substantial research or professional experience on issues related to fairness, accountability, and transparency of artificial intelligence (AI) systems, especially generative AI systems 
• Substantial expertise and training in the field of natural language processing, including experience conducting statistical analyses with text data, evaluating and implementing machine learning methods for text data, and strong understanding of text representation techniques 
• Strong familiarity with language modeling and natural language techniques, including strong understanding of the core concept underlying the design of small language models (SLMs) and large language models (LLMs)  
• Substantial experience writing code in Python and working with open-source NLP libraries such as transformers and NLTK 
• Substantial experience working with text data from legal, policy, and social science contexts, such as legal filings, statutes, and regulations 
• Familiarity with the core concepts underlying multi-modal (e.g., text-to-speech, text-to-video, etc.) generative AI systems and experience working with multi-modal datasets 
• Familiarity with popular approaches and frameworks for monitoring and evaluating AI-enabled systems, especially generative AI systems 
• Professional or research experience developing software and strong familiarity with common software engineering practices such as version control, testing, and code reviews 
• Experience developing documentation of technical products and systems tailored to both technical and non-technical audiences 
• Experience working with cloud services (e.g. Amazon Web Services, Azure) a nice to have 
• Excellent communication skills, including the ability to communicate complex technical concepts clearly to technologists without NLP expertise and non-technical stakeholders 
• Excellent project management and collaboration skills, with a track record of partnering with cross-functional teams to translate organizational needs into technical solutions 

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. 

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

The GMP portion is responsible to lead and coordinate the GMP/GHP and pest control programs at the site level to ensure full compliance with Mars global GMP-GHP, FSSC and regulatory standards requirements. Represents and manages the Quality Supply organization at the site. The Sanitation Manager portion is responsible to ensure that the manufacturing areas and the general office area remain clean and free of microbiological contamination and pest infestation.

Principle Accountabilities:
1. Develop and lead the implementation and maintenance of site GMP-GHP and pest control programs.
2. Direct supervision for Quality Conformance Coordinator (QCC) associates to effectively provide direction in IBO-setting and talent development based on current Q&FS strategy needs.
3. Drive GMP-GHP compliance to the MSS standard by coaching supply associates in the execution of the Area Ownership / Equipment Ownership standards.
4. Manage external contractors and suppliers designated to support GMP's and pest control programs.
5. Participate in Food Safety risk assessment for new equipment installation to ensure clean design principles are met and provide direction of GHP’s to the CVS team.
6. This position manages the sanitation of the facility, including oversite of the contracted cleaning crews, to ensure the factory continuously meets or exceeds established guidelines and standards.

Responsibilities:

1. Sanitation program:

• Manage the site Master Sanitation Schedule (MSS) using a web-based program
• Develop, maintain, and improve Sanitation Standard Operating Procedures (SSOPs)
• Verify SSOP’s are being followed as intended. This may involve the need to support during weekend or night shift hours occasionally
• Trains sanitation personnel and operations on Sanitation Procedures, proper chemical usage and handling
• Manage the validation of cleaning procedures, including clean-in-place (CIP) system procedures
• Manage the Sanitation Inspection Program and address trends in non-conformities
• Complete risk assessments as required by the cleaning and sanitation standard

2. GMP program:

• Review and evaluate updates in Corporate, ISO or regulatory standards related to GMP’s to conduct gap assessments and identify opportunities for compliance.
• Lead the GMP Committee/Group for the site to drive maintenance and continuous improvement initiatives while building functional competencies in GMP/GHP's across the different value streams.
• Lead GMP related projects in coordination with Engineering (hand washing sinks, sinks for equipment cleaning, drain cleaning, etc.).
• Drive continuous improvement initiatives at the site (Exterior GMPs and Food Defense, Clean as you Go, 5S and show case areas of the factory).

3. External business partners:

• Review, verify and approve pest control plan proposed by external vendor.
• Verify monitoring and correction plans to prevent infestations in the facility premises, the factory building or any warehouse within the site control.
• Assess effectiveness of external partners for pest control and provide timely feedback to ensure mutuality principle is followed.
• Organize entomologist visits, site and warehouse assessments, and reporting and corrective actions management derived from internal audits.

4. Trouble shooting

• Provide direction and support to the operation to mitigate and control incidents related to sanitation, GMP, or pest control in close coordination with the site Q&FS manager.
• Consult and collaborate with the site Food Safety Scientist responsible for micro environmental control to address non-conforming verification testing results and develop actions to correct.

5. Verification activities

• Develop and manage site GMP inspection program (Schedule, training, corrective actions tracking, etc.); and provide visibility to the site leadership team of level of compliance against current requirements. Drive improvements based on findings.
• Maintenance of site level score cards related to GMP and pest control metrics and required input in the Q&FS Management review.
• Provide information to the site leadership team to ensure all resources required to execute GMP and pest control programs are assigned.
• Support QCC’s swabbing activities as and when needed during investigations.

6. Training and education:

• Coordinate with the regional teams and the site training department in the execution and completion of the mandatory training programs related to GMP's and regulatory requirements for the site. The role is also responsible to approve materials used to train all contractors on these topics.
• Partner with operations to provide training on SSOPs, sanitation chemical usage, and web-based sanitation worksheet completion
• In cooperation with the site QFS team continue to educate and upskill QCCs on fundamental programs such as Food Safety Plans, PRIMP process and incident escalations, Allergen Management, etc.

7. Line management and Budget:

• Directly responsible for recruiting, objective setting, performance assessment and talent development for QCC’s to enable effectiveness in PCQI process, micro verification sampling plans completion and other Q&FS implementation programs as needed.
• Oversight of site budget for pest control and GMP related spend. / Accountable for ordering consumables related to GMP, PPE, Cleaning, Sanitation and Micro monitoring.

Qualifications: 

• High School Diploma or equivalent required; bachelor’s degree preferred 
• 5 years of experience in food industry 
• GMP-GHP and food safety international and regulatory standards 
• Must be able to adapt to temperature and environmental extremes from hot to cold, dust, dirt, and chemicals 
• Computer/technical savvy; Works proficiently in: Excel, Nexus, Microsoft Office, Outlook, other necessary administrative programs 
• Must be able to work at elevated heights 
• Must be or have demonstrated the ability to develop into the site’s Subject Matter Expert in Pest Control and GMP practices 

Your Impact

We are seeking a skilled and innovative Senior AI Research Scientist to join a new team focusing on agentic video and multimodal reasoning systems. As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in machine learning and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual and multimodal data.

At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What You’ll Do

Reports to: Director of AI Research
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

• Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
• Lead end-to-end research efforts in AI-assisted universal search of and reasoning over large multimodal data with an emphasis on video understanding.
• Advance related computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
• Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
• Develop performance and quality metrics for agentic multimodal reasoning models and systems, and validate their effectiveness in real-world settings.
• Stay up-to-date with the latest research and advances in agentic AI, machine learning and computer vision and translate relevant findings into shipping Axon products.
• Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
• Coach and mentor junior scientists.

What You Bring

• PhD and 3+ years of experience in Computer Science or a related field with a focus on multimodal machine learning, large language models, video understanding, information retrieval, agentic reasoning or related technical fields.
• Proven track record of applied research and/or production impact in multimodal learning, video-language modeling, retrieval systems, foundation models, agentic systems, or RAG architectures.
• Experience owning and driving the ML development lifecycle from problem definition and data strategy through model development, evaluation, deployment, and iteration in production environments.
• Experience contributing to large-scale ML and multimodal RAG systems including embeddings, indexing and vector search at scale, distributed training or inference workflows, evaluation and ranking optimization, agentic tool use, and grounding LLMs with external knowledge.
• Strong understanding of video analysis and temporal modeling as well as computer vision fundamentals and trade-offs.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 159,750 in the lowest geographic market and USD 234,300 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

#LI-Hybrid

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Scottsdale, AZ office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

Your Impact

We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data.

At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What You’ll Do

Reports to: Director of AI Research
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

• Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
• Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
• Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
• Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings.
• Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products.
• Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
• Coach and mentor junior scientists.

What You Bring

• PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields.
• Proven track record of research in machine learning, computer vision or related fields.
• Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale.
• Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
• Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 159,750 in the lowest geographic market and USD 234,300 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

#LI-Hybrid

Summary:

Vaxcyte has an exciting opportunity for an energetic and talented individual to join our Analytical Development team. The Scientist I, Analytical Development, is responsible for executing analytical testing and contributing to analytical method development activities for biologics/vaccine development programs. 

This role performs routine and non-routine analytical assays using modern analytical techniques, supports method optimization and troubleshooting efforts, and contributes to continuous improvement initiatives with moderate supervision while partnering effectively with cross-functional teams. The position requires demonstrated hands-on laboratory experience, strong technical execution, and problem-solving skills, with the ability to independently plan and execute assigned work, analyze and interpret data, and escalate and/or drive investigations as needed. This role authors and maintains clear technical documentation, including method protocols, method development summaries, and SOPs, and communicates experimental results and conclusions to internal stakeholders.

Essential Functions:

Method Development & Troubleshooting

• Contribute to method development, optimization, and qualification/validation readiness activities.
• Design and execute experiments to evaluate critical method parameters and define appropriate system suitability and control strategies.
• Troubleshoot assay and instrument performance issues using a structured approach; interpret data to identify likely root causes, implement corrective actions, and document outcomes and recommendations.
• Support and/or execute method transfer activities, including protocol preparation, training support, execution at receiving labs, and resolution of transfer issues.
• Author and revise analytical methods, SOPs, protocols, and technical reports; ensure clear documentation of experimental rationale, results, and conclusions for internal review and stakeholder communication.

Team Collaboration

• Partner effectively with cross-functional teams to define analytical plans, meet project timelines, and deliver high-quality outputs.
• Communicate experimental progress, data interpretation, and emerging risks clearly; propose mitigation plans and align next steps with stakeholders.
• Contribute to a compliant, safety-focused, and scientifically rigorous lab culture, model good documentation practices and data integrity expectations.

Analytical Testing & Data Generation

• Perform routine and non-routine analytical testing using modern analytical methods (e.g., HPLC/UPLC, SEC, CE, UV-Vis, ELISA, electrophoresis, plate-based assays, and other biochemical/biophysical techniques).
• Execute assays in accordance with approved methods, SOPs, and applicable quality standards (GLP/GMP as applicable); identify and troubleshoot common issues.
• Perform data processing and interpretation; summarize results, trends, and potential risks, and escalate complex findings for review and decision-making.
• Maintain accurate, timely documentation in laboratory notebooks or electronic systems; contribute to clear technical communications to project and cross-functional stakeholders.

Laboratory Operations & Instrumentation

• Coordinate routine instrument maintenance and service activities; interface with vendors as needed and support timely issue resolution.
• Ensure laboratory organization, cleanliness, and compliant material labeling/storage practices.
• Manage inventory of reagents, standards, and consumables; initiate procurement, track critical supplies, and support forecasting to avoid stockouts.

Safety & Compliance

• Follow all Environmental Health & Safety (EHS) policies and laboratory safety practices.
• Handle chemicals and biological materials safely and in compliance with regulatory requirements.
• Ensure proper waste disposal and adherence to hazardous material handling procedures.
• Support audit and inspection readiness activities where applicable.

Requirements: 

PhD, MS or Bachelor’s degree in Chemistry, Biochemistry, Biology, Pharmaceutical Sciences, or a related scientific discipline. PhD with 1-2 years; MS with 5+ years; BS with 8+ years of relevant industry experience in analytical development, QC, or related field. Other combinations of education and/or experience may be considered.

• Strong hands-on experience with multiple analytical techniques, such as UV-Vis, HPLC, CE, SDS-PAGE, icIEF, Liquid chromatography, Mass Spectrometry, enzyme kinetics, colorimetric and fluorescent plate-based assays, ELISA, Western Blot, and PCR.
• Experience independently driving method development or optimization activities preferred.
• Strong knowledge of analytical chemistry/biochemistry principles with demonstrated application to assay development and control strategies.
• Proven ability to independently troubleshoot non-routine assay and instrument issues using structured root-cause analysis and data-driven decision making.
• Proficient in analytical software, data processing workflows, and statistical tools.
• Strong scientific judgment and attention to detail consistently produces high-quality, inspection-ready documentation.
• Ability to independently plan and prioritize work, manage multiple projects, and meet timelines with minimal supervision.
• Clear and effective written and verbal communication; able to summarize complex data, present recommendations, and collaborate across functions.

The Role

Overview 

Carbon Direct is seeking a highly skilled and motivated Hybrid Decarbonization Scientist to join our team. In this role, you will be responsible for supporting deep diligences and conducting scientific assessments of decarbonization technologies, strategies, and projects. You will play a critical role in ensuring the scientific rigor and integrity of our advisory services, working closely with clients to evaluate solutions that effectively reduce greenhouse gas emissions. A significant part of this role involves translating deep expertise in Bioenergy with Carbon Capture and Storage (BECCS), biomass with carbon removal and storage (BiCRS), and biochar projects into recommendations for a range of clients.

Responsibilities 

• Support comprehensive scientific evaluations of hybrid decarbonization technologies and strategies, including BECCS, BiCRS, and biochar.
• Perform in-depth technical and operational due diligence on decarbonization projects and initiatives to assess feasibility, risks, and potential impact.
• Conduct life cycle assessments (LCAs) to evaluate the environmental performance and carbon accounting of decarbonization projects, ensuring methodological rigor and alignment with industry standards.
• Apply expertise in sustainable biomass sourcing principles and supply chain considerations to evaluate feedstock viability and environmental integrity for relevant projects.
• Develop and maintain a deep understanding of the latest advancements in climate science, technology, and policy relevant to decarbonization efforts.
• Collaborate with cross-functional teams, including engineers, economists, and policy experts, to integrate scientific insights into client recommendations and strategies.
• Prepare detailed reports, presentations, and technical documents to communicate findings and recommendations to clients and stakeholders.
• Stay abreast of emerging trends and developments in the field of decarbonization, participating in conferences, workshops, and professional networks to continuously enhance expertise.

Qualifications

• Proven experience in conducting scientific research and assessments in the field of decarbonization, with a strong track record of published or disseminated work.
• Ph.D. or Master’s degree in a relevant field such as Environmental Science, Climate Science, Engineering, or a related discipline (not required, but nice to have). 
• Extensive knowledge of decarbonization technologies and strategies, including their technical, economic, and environmental aspects.
• Ability to effectively interface with external clients and internal stakeholders, providing excellent, responsive service
• Specific expertise in BECCS and biochar projects, including their development, implementation, and assessment.
• Strong analytical and problem-solving skills, with the ability to conduct rigorous technical and financial evaluations.
• Excellent communication skills, both written and verbal, with the ability to effectively convey complex scientific concepts to diverse audiences.
• Demonstrated ability to work collaboratively in a multidisciplinary team environment.
• Proficiency in relevant software and tools for data analysis, modeling, and simulation.
• Commitment to staying current with industry trends, scientific advancements, and best practices in decarbonization.
• Experience in consulting or advisory roles, particularly in the climate or environmental sectors.
• Project management skills, with the ability to manage multiple projects and priorities effectively.

Salary Range

$133,000-$163,000 a year

Summary:

Vaxcyte has an exciting opportunity for an energetic and talented individual to join our Analytical Development team. The Associate Scientist II, Analytical Development, is responsible for executing analytical testing and supporting method development activities for biologics/vaccine development programs. This role will perform routine and non-routine analytical assays using modern analytical techniques and will contribute to method optimization, troubleshooting, and continuous improvement initiatives under supervision. The position requires demonstrated hands-on laboratory experience, strong technical execution, and the ability to work independently on routine tasks while supporting more complex development activities.

Essential Functions:

Analytical Testing & Data Generation

• Perform routine and non-routine analytical testing using modern analytical methods (e.g., HPLC/UPLC, SEC, CE, UV-Vis, ELISA, electrophoresis, plate-based assays, and other biochemical or biophysical techniques).
• Prepare samples, reagents, standards, and buffers according to established protocols.
• Execute assays in accordance with approved methods, SOPs, and applicable quality standards (GLP/GMP as applicable).
• Perform data processing and preliminary interpretation; summarize findings for review by senior scientists.
• Maintain accurate and timely documentation in laboratory notebooks or electronic systems.

Method Development & Troubleshooting (Under Supervision)

• Support method development, optimization, and qualification activities under the guidance of senior scientists.
• Assist in designing experiments to evaluate method parameters and robustness.
• Troubleshoot assay performance issues and instrument-related problems, proposing potential solutions for review.
• Participate in method transfer activities, including protocol execution and documentation.
• Contribute to drafting and revising analytical methods, SOPs, protocols, and technical reports.

Laboratory Operations & Instrumentation

• Coordinate instrument service activities and assist with vendor interactions as needed.
• Ensure laboratory organization, cleanliness, and proper material storage.
• Manage inventory of reagents, standards, and consumables; assist with procurement and restocking.

Safety & Compliance

• Follow all Environmental Health & Safety (EHS) policies and laboratory safety practices.
• Handle chemicals and biological materials safely and in compliance with regulatory requirements.
• Ensure proper waste disposal and adherence to hazardous material handling procedures.
• Support audit and inspection readiness activities where applicable.

Team Collaboration

• Collaborate with cross-functional teams to support project timelines and deliverables.
• Provide clear communication on experimental progress, risks, and results.
• Contribute to a positive, compliant, and scientifically rigorous laboratory culture.
• May assist in training junior staff or new team members on routine assays and lab practices.

Requirements: 

• Bachelor’s degree in Chemistry, Biochemistry, Biology, Pharmaceutical Sciences, or a related scientific discipline with 2+ years, or Master’s degree with 1+ years of relevant laboratory experience in analytical development, QC, or related field. Other combinations of education and/or experience may be considered.
• Hands-on experience with analytical techniques such as chromatography, electrophoresis, or immunoassays is required.
• Experience supporting method development or optimization activities preferred.
• Solid understanding of analytical chemistry or biochemistry principles.
• Experience with method troubleshooting and data interpretation.
• Familiarity with analytical software and data analysis tools.
• Strong attention to detail and organizational skills.
• Ability to work independently on routine assignments and manage multiple tasks.
• Effective written and verbal communication skills.
• Ability to work in a laboratory environment for extended periods.
• Ability to lift up to 25 lbs.
• Use of personal protective equipment (PPE) required.
• Contribute to a positive, inclusive, and safety-focused laboratory culture.

ESA seeks a highly motivated Wetland Scientist and Permitting Specialist to join our Pacific Northwest Biological Resources and Land Management team.  Our ideal candidate has 8+ years of experience in wetland science and permitting in Washington and Oregon, but candidates with 5+ years of experience who meet the qualifications will also be considered. This is a salaried, full-time exempt role. Qualified candidates must be able and willing to work hybrid (1-2 days a week) from one of our Northwest Office Locations including: Seattle, Portland, & Bend.  Some travel required for in-person team collaboration, project visits, and field work as needed.  

We are interested in proactive candidates who have strong experience in one or more of the following: wetland and aquatic resource delineations, mitigation planning, preparing reports and applications for local, state, and federal permits coupled with experience and field work in botany, soil science, fisheries biology, wildlife ecology, and habitat restoration ecology. Technical writing skills are strongly preferred.  This is a mid-level opportunity focused on collaboration with senior technical staff and helping to grow early-career staff, quality, outstanding internal and external client service, and being part of a team with a passion to do great work and have fun together.    

Who You Are 

• A Scientist and Permitting Specialist with at least 5 years of experience in the Northwest collecting, analyzing, and presenting in writing ecological data and environmental documentation to support projects and obtain regulatory permits and approvals.
• You have experience developing and leading wetland and aquatic resources studies, with some experience in one or more of the biological disciplines ESA projects require, including botany, fisheries biology, wildlife ecology, and habitat restoration ecology. Certifications and training in one or more of these disciplines are a plus.
• You have served as the primary or contributing author on a variety of environmental documents such as Wetland and Stream Reports, critical area reports, Biological Assessments for Endangered Species Act consultations, habitat mitigation plans, strategic plans for watershed management, fish passage barrier assessments, and permit applications such as Joint Aquatic Resources Permit Applications and Joint Permit Applications.
• You have excellent writing and communication skills. You are known for preparing documents that are clear, concise, well-written and supported. 
• You have led field survey efforts and data collection for environmental projects and possess the ability to work with multiple teams and complex schedules.
• You have experience drafting scopes of work for Senior level review on small to complex projects, including identifying necessary tasks, preparing task descriptions, and estimating the associated level of effort.
• You hold a bachelor's and/or master's degree in biology or a related environmental or ecological field.
• You can safely operate, load, and transport equipment and gear, and cross fences, creeks, and other obstacles. Experience with digital field data collection tools such as GPS, ArcGIS Collector/Field Maps, Fulcrum, Survey 123 is desired, but not required.
• You work collaboratively with clients and interdisciplinary teams to deliver high quality work products according to scopes, schedules, and budgets. You are an effective team member and communicator who contributes constructively and cooperatively to solve project and team challenges.
• You are able to work hybrid primarily in one of our NW offices in Seattle, Portland, or Bend with some days working remotely if you choose. 

What You Will Do for ESA

• As an Wetland Scientist and Permitting Specialist, you will serve as field lead or crew member performing field surveys and will be the primary author of environmental documents including technical memoranda, biological assessments/habitat evaluations, scientific discipline reports, habitat mitigation plans, and impact evaluations to support resource-related permit applications, including in support of Clean Water Act, Endangered Species Act, and the National Environmental Policy Act.  
• You will apply your technical skills and permitting knowledge to natural resources projects. You will serve as a technical specialist, participating in environmental analyses and coordinating with key team members, including senior and junior staff, subconsultants, and clients. Lead the preparation and implementation of biological field studies. This includes field studies such as wetland delineations, vegetation classification and habitat mapping, stream habitat assessment, fish passage barrier assessment, nesting bird surveys, endangered species occurrence, and water quality sampling. You will produce technical work and written products that are clear, concise, and well supported.
• You may serve as a Project Manager, Deputy Project Manager, or Task Lead depending on complexity of project. You will demonstrate a clear understanding of project management principles and practices, including managing your work to the scope, budget, and schedule. You will proactively and constructively communicate to successfully navigate project or scope challenges that may arise. You will also take the initiative and resolve issues to assure client needs are met effectively, lead and advise on all aspects of project implementation, including the development of permitting strategies, provide QA/QC of work processes and deliverables, and lead teams completing technical studies that support permitting efforts.  
• You thrive in a fast-paced, exciting, and challenging environment and are able to manage multiple responsibilities and deadlines, while working on a team or independently. 
• You enjoy fieldwork and can walk long distances carrying a backpack; and are able to lift at least 50 pounds. You are confident working outside, in remote and rural settings, as well as in urban environments. Physical outdoor work may include, but may not be limited to, work in all types of weather, traversing uneven ground and sometimes steep terrain in forested environments, fields, arid lands, along stream banks, and in coastal/intertidal areas. You may be exposed to inclement weather and uncomfortable working conditions. Some night and/or weekend work may be required. Field work is expected to be approx. 40% with 60% in at home/office work.
• Driving needs: You possess a valid driver’s license with a clean DMV record. 
• Other ad-hoc tasks as needed

What’s Special About Our Biological Resources & Land Management Team

Our Biological Resources & Land Management Team includes Wetland Biologists, Fisheries Biologists, Wildlife Ecologists, Environmental Scientists, Conservation/Climate Planning Specialists, and Permitting Specialists who provide expertise for many agencies in Washington, Oregon and across the Northwest. Our work matters because it helps communities shape a positive future for their citizens. We value creative thinking, teamwork, and multi-disciplinary and cross disciplinary engagement and integration. 

 What’s Special About ESA

Joining ESA means becoming part of a close-knit team of employee-owners who contribute to outstanding projects, improve environmental stewardship, and advance a more sustainable and resilient future for our communities and wild places.

At ESA, we provide benefits such as medical, dental, and vision insurance (paid at 70% for you AND your family), annual allocations of company share through our ESOP, a 401(k) plan with company match, and paid vacation, sick leave, and holidays, to name a few.

We also provide specific programs whether you want to further your technical expertise, sharpen your business acumen, or help lead the next generation of employee-owners. We want to support you in reaching your career goals through tuition reimbursement, professional development bonuses, and attendance at conferences.

Join Our Thriving Talent Community!

Are you passionate about protecting our planet and advancing environmental science? Whether you're a biologist, planner, scientist, or environmental professional, we invite you to join our vibrant Talent Community!

Why Join Us?

• Networking Opportunities: Connect with industry leaders and peers to share insights, collaborate on projects, and expand your professional network.
• Career Growth: Access exclusive job opportunities, career development resources, and mentorship programs designed to help you advance in your career.
• Innovative Projects: Be part of groundbreaking projects that push the boundaries of sustainability, conservation, and environmental technology.
• Continuous Learning: Stay ahead of the curve with access to the latest industry trends, webinars, workshops, and certifications.
• Culture: ESA culture is built on inclusion, creativity, collaboration, and a commitment to our work, our clients, and our communities.

Get Involved!

• Join Our Events: Visit us and get to know us during our regular events, and conferences to stay connected and inspired.
• Share Your Expertise: Contribute to our community by sharing your knowledge, experiences, and innovative ideas.
• Stay Updated: Follow us on social media and subscribe to our newsletter for the latest news, job postings, and industry insights.

Take Action Today!

Join our Environmental Science Talent Community and be a part of the movement towards a sustainable future. Together, we can make a difference. Click the Apply button above to sign up and start your journey with us!