Home › Companies › Aisobservers › Environmental Data Scientist (AI/ML)
Environmental Data Scientist (AI/ML)
Aisobservers · La Jolla, California, 92037, United States · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Aisobservers |
| Title | Environmental Data Scientist (AI/ML) |
| Normalized title | - |
| Department / team | Scientific Research and Technical Services Department |
| Location | La Jolla, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-13 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Aisobservers. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in La Jolla. | Open |
| Department jobs | Active postings in Scientific Research and Technical Services Department. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Aisobservers |
| Source | f846fed2-4056-4d70-b4aa-818105ce6ea8 |
| ATS provider | BambooHR |
Description
A.I.S., Inc. (AIS) is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is looking for an Environmental Data Scientist (AI/ML) to support the SWFSCs Ecosystem Science Division (ESD).
Primary Function:
The Environmental Data Scientist (AI/ML) will support the Southwest Fisheries Science Center's (SWFSC) Ecosystem Science Division in developing and operationalizing Artificial Intelligence/Machine Learning (AI/ML) workflows for automated processing and analysis of large-scale imagery datasets. These datasets are generated by advanced technologies including underwater glider cameras, aerial imaging systems, animal-borne video loggers, and remote trail cameras used to monitor marine and terrestrial environments. The specialist will evaluate available methods, develop integrated data management systems, deploy models in cloud environments, and lead efforts to increase the efficiency and scalability of ESD's analytical capabilities.
Duties/Responsibilities:
Develop new capabilities including data management systems and integrated workflows to increase efficiency of processing and preparing data for research projects and AI/ML model development
Explore various optical imagery datasets for the design, development, evaluation, and application of AI/ML capabilities, edge computing, and automated analytic workflows
Develop or adapt software for optical imagery processing and web-based dashboards using Python and/or C/C++
Deploy models using virtual machines (VMs) in the Google Cloud Platform
Execute technical research projects, track progress, and present technical material in a variety of forums including weekly team meetings, conferences, working groups, and program reviews
Create standard operating procedures (SOPs) for implementing AI/ML pipelines and instruct additional staff on their use
Submit monthly progress reports reflecting the status and progress of all tasks
Compensation: Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.
Minimum Qualifications:
Master's Degree in a related field plus two (2) years' experience.
Demonstrated experience coding in Python, R, and/or C/C++
Experience developing automated workflows for data processing or analysis
Experience maintaining application software and data management tools
Must be a U.S. Citizen
Preferred Qualifications:
PhD may be substituted for master’s degree and 2 years of relevant experience.
Experience developing or applying computer vision and machine learning models for ecological or environmental image analysis
Familiarity with Google Cloud Platform (GCP) services including virtual machine deployment and cloud storage
Experience with edge computing platforms or embedded systems for field data collection
Background in marine, environmental, or fisheries science contexts
Travel:
Travel (limited) is required for conferences, working groups, and program reviews.
No routine field travel is anticipated for this position.
Location:
8901 La Jolla Shores Dr., La Jolla, CA 92037 (Southwest Fisheries Science Center)
Contact:
If you would like to apply for this exciting new opening, please visit our Careers Page to submit the required information:
Resume
Cover letter detailing relevant experience.
3 professional references (name, email address and phone number)
All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our Talent Team or call 774-770-5833.
An Equal Opportunity Employer
It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.
Must be able to work in the U.S. • VEVRAA Federal Contractor • Request Priority Protected Veteran Referrals • Equal Opportunity Employer
Full job record
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| Org ID | 5404d243-66f0-4dd0-802e-4efe40c251f0 |
| Source ID | f846fed2-4056-4d70-b4aa-818105ce6ea8 |
| Board ID | f846fed2-4056-4d70-b4aa-818105ce6ea8 |
| Provider | bamboohr |
| Provider Job Key | 140 |
| Title | Environmental Data Scientist (AI/ML) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | La Jolla, California, 92037, United States |
| Department | Scientific Research and Technical Services Department |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | La Jolla |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://aisobservers.bamboohr.com/careers/140 |
| Apply URL | https://aisobservers.bamboohr.com/careers/140 |
| First Seen At | 2026-05-30 06:10:33Z |
| Last Seen At | 2026-06-06 09:41:29Z |
| Last Checked At | 2026-06-06 09:41:29Z |
| Last Changed At | 2026-05-30 06:10:33Z |
| Inactive At | — |
| Source Posted At | 2026-05-13 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=aisobservers/date=2026-06-06/2026-06-06T09-41-27-125Z-af72355a51a2aa7a2b3c1f3376ccd0d584fda2e3eaad28d385255196f7bd872e.json |
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"description": "<p><span style=\"font-family: georgia, palatino\"><span style=\"font-weight: bold\">A.I.S., Inc. (AIS)</span> is a national scientific services firm supporting maritime activities requiring certification of compliance with environmental regulations as well as collecting data for use by Federal, State, Municipal, and other government agencies along the US coastline. AIS is looking for an Environmental Data Scientist (AI/ML) to support the SWFSCs Ecosystem Science Division (ESD).</span></p>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-weight: bold\">Primary Function:</span></p>\n<p><span style=\"font-family: georgia, palatino\">The Environmental Data Scientist (AI/ML) will support the Southwest Fisheries Science Center's (SWFSC) Ecosystem Science Division in developing and operationalizing Artificial Intelligence/Machine Learning (AI/ML) workflows for automated processing and analysis of large-scale imagery datasets. These datasets are generated by advanced technologies including underwater glider cameras, aerial imaging systems, animal-borne video loggers, and remote trail cameras used to monitor marine and terrestrial environments. The specialist will evaluate available methods, develop integrated data management systems, deploy models in cloud environments, and lead efforts to increase the efficiency and scalability of ESD's analytical capabilities.</span></p>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-weight: bold\">Duties/Responsibilities:</span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino\">Develop new capabilities including data management systems and integrated workflows to increase efficiency of processing and preparing data for research projects and AI/ML model development</span></li>\n<li><span style=\"font-family: georgia, palatino\">Explore various optical imagery datasets for the design, development, evaluation, and application of AI/ML capabilities, edge computing, and automated analytic workflows</span></li>\n<li><span style=\"font-family: georgia, palatino\">Develop or adapt software for optical imagery processing and web-based dashboards using Python and/or C/C++</span></li>\n<li><span style=\"font-family: georgia, palatino\">Deploy models using virtual machines (VMs) in the Google Cloud Platform</span></li>\n<li><span style=\"font-family: georgia, palatino\">Execute technical research projects, track progress, and present technical material in a variety of forums including weekly team meetings, conferences, working groups, and program reviews</span></li>\n<li><span style=\"font-family: georgia, palatino\">Create standard operating procedures (SOPs) for implementing AI/ML pipelines and instruct additional staff on their use</span></li>\n<li><span style=\"font-family: georgia, palatino\">Submit monthly progress reports reflecting the status and progress of all tasks</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino\"><span style=\"font-weight: bold\">Compensation:</span> Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending on candidates' depth of experience. This is a full-time position. <span style=\"font-weight: bold\">AIS benefits package includes health and dental insurance, vacation, sick and holiday benefits.</span></span></p>\n<p><span style=\"font-family: georgia, palatino\"> </span></p>\n<p><span style=\"font-family: georgia, palatino; font-weight: bold\">Minimum Qualifications:</span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino\">Master's Degree in a related field plus two (2) years' experience.</span></li>\n<li><span style=\"font-family: georgia, palatino\">Demonstrated experience coding in Python, R, and/or C/C++</span></li>\n<li><span style=\"font-family: georgia, palatino\">Experience developing automated workflows for data processing or analysis</span></li>\n<li><span style=\"font-family: georgia, palatino\">Experience maintaining application software and data management tools</span></li>\n<li><span style=\"font-family: georgia, palatino\">Must be a U.S. Citizen</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: georgia, palatino; font-weight: bold\">Preferred Qualifications:</span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino\">PhD may be substituted for master’s degree and 2 years of relevant experience.</span></li>\n<li><span style=\"font-family: georgia, palatino\">Experience developing or applying computer vision and machine learning models for ecological or environmental image analysis</span></li>\n<li><span style=\"font-family: georgia, palatino\">Familiarity with Google Cloud Platform (GCP) services including virtual machine deployment and cloud storage</span></li>\n<li><span style=\"font-family: georgia, palatino\">Experience with edge computing platforms or embedded systems for field data collection</span></li>\n<li><span style=\"font-family: georgia, palatino\">Background in marine, environmental, or fisheries science contexts</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino\"> </span></p>\n<p><span style=\"font-family: georgia, palatino; font-weight: bold\">Travel: </span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino\">Travel (limited) is required for conferences, working groups, and program reviews.</span></li>\n<li><span style=\"font-family: georgia, palatino\">No routine field travel is anticipated for this position.</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino\"> </span></p>\n<p><span style=\"font-family: georgia, palatino; font-weight: bold\">Location:</span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino\">8901 La Jolla Shores Dr., La Jolla, CA 92037 (Southwest Fisheries Science Center)</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino\"> </span></p>\n<p><span style=\"font-family: georgia, palatino; font-weight: bold\">Contact:</span></p>\n<p><span style=\"font-family: georgia, palatino\">If you would like to apply for this exciting new opening, please visit our <a href=\"https://aisobservers.com/careers\" target=\"_blank\" rel=\"noopener noreferrer\">Careers Page</a> to submit the required information:</span></p>\n<p><span style=\"font-family: georgia, palatino\"> </span></p>\n<ul>\n<li><span style=\"font-family: georgia, palatino\">Resume</span></li>\n<li><span style=\"font-family: georgia, palatino\">Cover letter detailing relevant experience.</span></li>\n<li><span style=\"font-family: georgia, palatino\">3 professional references (name, email address and phone number)</span></li>\n</ul>\n<p><span style=\"font-family: georgia, palatino\"> </span></p>\n<p><span style=\"font-family: georgia, palatino\">All documents must be submitted for your application to be considered. If you have any questions pertaining to this opening, please reach out to our <a href=\"mailto:[email protected]\" target=\"_blank\" rel=\"noopener noreferrer\">Talent Team</a> or call 774-770-5833.</span></p>\n<p><br><span style=\"font-family: georgia, palatino; font-weight: bold\"><em>An Equal Opportunity Employer</em></span></p>\n<p><span style=\"font-family: georgia, palatino\"><em>It is the policy of A.I.S. to recruit, hire, train, promote, transfer and compensate our employees and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status or any other status protected by applicable law.</em></span></p>\n<p><span style=\"font-family: georgia, palatino\"><em> </em></span></p>\n<p><span style=\"font-family: georgia, palatino\"><em>Must be able to work in the U.S. • VEVRAA Federal Contractor • Request Priority Protected Veteran Referrals • Equal Opportunity Employer</em></span></p>",
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