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HomeCompaniesCareers Gotyto Icims ComMachine Learning Engineer

Machine Learning Engineer

Careers Gotyto Icims Com · Remote, UNAVAILABLE, US · Remote · Active · iCIMS

Job facts

FieldValue
CompanyCareers Gotyto Icims Com
TitleMachine Learning Engineer
Normalized title-
Department / teamInformation Technology
LocationUNAVAILABLE, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS provideriCIMS
Posted / first seen2026-05-28 / 2026-05-31
Changed / last seen2026-06-01 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Careers Gotyto Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Information Technology.Open
Work model jobsActive Remote postings.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Gotyto Icims Com
Sourcefc123edd-d671-42f2-b50b-70b70ebc7699
ATS provideriCIMS

Description

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to work across diverse environments—supporting internal product teams, commercial security clients, and U.S. federal customers—while solving meaningful problems with cutting-edge tools and research. At Tyto Athene, innovation meets mission-critical impact. Join a team where your ideas lead to real-world solutions for government and commercial partners. Work remotely with talented engineers, grow your skills, and help us redefine what’s possible with automation. Responsibilities: Serve as a subject matter expert in Machine Learning and its applications in Cyber Defense, researching and implementing differentiating and novel ML-based solutions to problems SOCs face. Developing agentic solutions for Cyber Incident Response. Solve complex security and architecture challenges with creativity and precision, with a focus on real-time performance and scalability. Identify and recommend improvements to architectures, especially in secure environments. Qualifications Required: U.S. Citizenship (required for federal projects) 3+ years of experience with ML 3+ years of experience with Cybersecurity, (purple preferred) Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security-oriented system. Experience developing pipelines that feed to an SOC, ideally an active system such as anomaly detection or IDS rather than just a static or periodically updated dashboard. Proficiency with major cloud platforms, such as AWS, Azure and GCP Excellent problem-solving, communication, and collaboration skills Ability to work independently with distributed teams in a fast-paced, agile environment Eagerness to learn new technologies and drive innovation Desired: Passionate about cybersecurity and the impact AI will have on the speed and scale of the industry. Understands ML theory outside of the current trends, e.g. knows pre-LLM NLP theory and how approaches such as genetic algorithms and energy-based models work. Exposure to DoD NetSecOps, even if only as a compliant, s.t. the applicant has an understanding of where the focuses are in DoD network security and what could help them. Understands DoD and federal compliance and expectations with regards to security. Understands more sophisticated and still-experimental ML approaches such as world models, neuro-symbolic learning, spiking neural networks, experimental RL objectives such as curiosity or information density, etc. About Tyto Athene Compensation: Compensation is unique to each candidate and relative to the skills and experience they bring to the position. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range. Benefits: Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and parental leave. Tyto Athene is a trusted leader in IT services and solutions, delivering mission-focused digital transformation that drives measurable success. Our expertise spans four core technology domains—Network Modernization, Hybrid Cloud, Cybersecurity, and Enterprise IT—empowering our clients with cutting-edge solutions tailored to their evolving needs. With over 50 years of experience, Tyto Athene proudly support Defense, Intelligence, Space, National Security, Civilian, Health, and Public Safety clients across the United States and worldwide. At Tyto Athene, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamTyto? Tyto Athene, LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.

Full job record

Job ID2fd14b0b4114f7f351f7ff52893584041f38f97d
Org IDe04648bb-5c2f-4c07-a70a-fa37689ba9b9
Source IDfc123edd-d671-42f2-b50b-70b70ebc7699
Board IDfc123edd-d671-42f2-b50b-70b70ebc7699
Providericims
Provider Job Key1876
TitleMachine Learning Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote, UNAVAILABLE, US
DepartmentInformation Technology
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionUNAVAILABLE
City
Salary RawDescription Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to work across diverse environments—supporting internal product teams, commercial security clients, and U.S. federal customers—while solving meaningful problems with cutting-edge tools and research. At Tyto Athene, innovation meets mission-critical impact. Join a team where your ideas lead to real-world solutions for government and commercial partners. Work remotely with talented engineers, grow your skills, and help us redefine what’s possible with automation. Responsibilities: Serve as a subject matter expert in Machine Learning and its applications in Cyber Defense, researching and implementing differentiating and novel ML-based solutions to problems SOCs face. Developing agentic solutions for Cyber Incident Response. Solve complex security and architecture challenges with creativity and precision, with a focus on real-time performance and scalability. Identify and recommend improvements to architectures, especially in secure environments. Qualifications Required: U.S. Citizenship (required for federal projects) 3+ years of experience with ML 3+ years of experience with Cybersecurity, (purple preferred) Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security-oriented system. Experience developing pipelines that feed to an SOC, ideally an active system such as anomaly detection or IDS rather than just a static or periodically updated dashboard. Proficiency with major cloud platforms, such as AWS, Azure and GCP Excellent problem-solving, communication, and collaboration skills Ability to work independently with distributed teams in a fast-paced, agile environment Eagerness to learn new technologies and drive innovation Desired: Passionate about cybersecurity and the impact AI will have on the speed and scale of the industry. Understands ML theory outside of the current trends, e.g. knows pre-LLM NLP theory and how approaches such as genetic algorithms and energy-based models work. Exposure to DoD NetSecOps, even if only as a compliant, s.t. the applicant has an understanding of where the focuses are in DoD network security and what could help them. Understands DoD and federal compliance and expectations with regards to security. Understands more sophisticated and still-experimental ML approaches such as world models, neuro-symbolic learning, spiking neural networks, experimental RL objectives such as curiosity or information density, etc. About Tyto Athene Compensation: Compensation is unique to each candidate and relative to the skills and experience they bring to the position. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range. Benefits: Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and parental leave. Tyto Athene is a trusted leader in IT services and solutions, delivering mission-focused digital transformation that drives measurable success. Our expertise spans four core technology domains—Network Modernization, Hybrid Cloud, Cybersecurity, and Enterprise IT—empowering our clients with cutting-edge solutions tailored to their evolving needs. With over 50 years of experience, Tyto Athene proudly support Defense, Intelligence, Space, National Security, Civilian, Health, and Public Safety clients across the United States and worldwide. At Tyto Athene, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamTyto? Tyto Athene, LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.
Salary Min
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Salary Currency
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Source URLhttps://careers-gotyto.icims.com/jobs/1876/machine-learning-engineer/job
Apply URLhttps://careers-gotyto.icims.com/jobs/1876/machine-learning-engineer/job
First Seen At2026-05-31 18:51:07Z
Last Seen At2026-06-06 08:42:02Z
Last Checked At2026-06-06 08:42:02Z
Last Changed At2026-06-01 14:13:19Z
Inactive At
Source Posted At2026-05-28 04:00:00Z
Source Updated At2026-05-30 13:54:34Z
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