<div><span style="font-size:15px;">Orbital Sidekick (OSK) is revolutionizing how the world understands and interacts with our planet. We are the leading hyperspectral satellite data and analytics company building the most advanced space-based infrastructure and proprietary "Spectral Intelligence™" platform. Our constellation of Global Hyperspectral Observation Satellites (GHOSt™) delivers unparalleled, persistent monitoring capabilities, capturing an unparalleled 500 bands of light to reveal the chemical fingerprints of targets on Earth. We provide actionable insights to critical sectors including Energy, Mining, Agriculture &amp; Forestry, Environmental &amp; Emergency Monitoring, and Defense &amp; Security, helping our clients optimize sustainable operations, mitigate risk, and enhance situational awareness globally.</span></div><div><br></div><div><span style="font-size:10.5pt;">We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data &amp; remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in. </span></div><div><br></div><div><span style="font-size:10.5pt;">You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Machine Learning Engineer means that you will be responsible for owning infrastructure for experiment tracking, model training/inference, dataset version control, and imagery annotation campaign creation and data extraction. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.</span></div><br><br><h3>As a Machine Learning Engineer your responsibilities will include:</h3><ul><li>Setting up Machine Learning infrastructure including, model repositories, experiment tracking, workflow orchestration (Prefect, Airflow, Dagster) </li><li>Optimizing resources for both development and production in the cloudDeploying models for both batch and online inference</li><li>Establish model monitoring, model registries, experiment tracking, CI/CD, and continuous training </li><li>Role will initially be focused on setting up MLOps and then grow into researching, developing, debugging, and deploying models to production using our hyperspectral data</li></ul><h3>Basic qualifications:</h3><ul><li>3+ years postgraduate experience as a MLEBS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.</li><li>Python, Pytorch, Weights and Biases, ML Flow, DVC, Ray, Dask, data science stack</li><li>Experience with deploying and monitoring models in clouds environments (AWS)</li><li>Ability to work independently as well as collaboratively in a startup environment</li><li>Comfortable with rapid decision-making and taking ownership of system design</li><li>Excellent written and oral communication skills</li></ul><h3>Standout candidates will have:</h3><ul><li>Experience in machine learning for remote sensing data,, hyperspectral data and Geospatial data</li><li>Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray, ENVI</li></ul><h3>Benefits of working at OSK:</h3><ul><li>We offer competitive compensation and equity packages</li><li>Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents</li></ul><br><div><span style="font-size:10.5pt;">ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a </span><a style="font-size:10.5pt;" href="http://U.S.citizen">U.S.citizen</a><span style="font-size:10.5pt;"> or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State.</span></div><div><br></div><div><span style="font-size:10.5pt;">Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. </span></div>

<p>Orbital Sidekick (OSK) is helping companies meet their sustainable operation goals by creating the most advanced space-based hyperspectral infrastructure and spectral intelligence in existence. Our real-time insights enable unparalleled monitoring services for both commercial and defense users on a global scale. OSK is currently building its GHOSt hyperspectral satellite constellation for deployment in 2022. GHOSt will provide daily target monitoring services to OSK&rsquo;s customers in the energy, mining, and defense sectors. Services will include oil and gas pipeline monitoring &amp; methane mapping, clean energy resource exploration, sustainable mining practices, precision agriculture and wildfire risk mitigation.</p>

Machine Learning Engineer

<div><span>Orbital Sidekick (OSK) is revolutionizing how the world understands and interacts with our planet. We are the leading hyperspectral satellite data and analytics company building the most advanced space-based infrastructure and proprietary "Spectral Intelligence™" platform. Our constellation of Global Hyperspectral Observation Satellites (GHOSt™) delivers unparalleled, persistent monitoring capabilities, capturing an unparalleled 500 bands of light to reveal the chemical fingerprints of targets on Earth. We provide actionable insights to critical sectors including Energy, Mining, Agriculture &amp; Forestry, Environmental &amp; Emergency Monitoring, and Defense &amp; Security, helping our clients optimize sustainable operations, mitigate risk, and enhance situational awareness globally.</span></div><div><br></div><div><span>We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data &amp; remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in. </span></div><div><br></div><div><span>You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Machine Learning Engineer means that you will be responsible for owning infrastructure for experiment tracking, model training/inference, dataset version control, and imagery annotation campaign creation and data extraction. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.</span></div><br><br><h3>As a Machine Learning Engineer your responsibilities will include:</h3><ul><li>Setting up Machine Learning infrastructure including, model repositories, experiment tracking, workflow orchestration (Prefect, Airflow, Dagster)&nbsp;</li><li>Optimizing resources for both development and production in the cloudDeploying models for both batch and online inference</li><li>Establish model monitoring, model registries, experiment tracking, CI/CD, and continuous training&nbsp;</li><li>Role will initially be focused on setting up MLOps and then grow into researching, developing, debugging, and deploying models to production using our hyperspectral data</li></ul><h3>Basic qualifications:</h3><ul><li>3+ years postgraduate experience as a MLEBS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.</li><li>Python, Pytorch, Weights and Biases, ML Flow, DVC, Ray, Dask, data science stack</li><li>Experience with deploying and monitoring models in clouds environments (AWS)</li><li>Ability to work independently as well as collaboratively in a startup environment</li><li>Comfortable with rapid decision-making and taking ownership of system design</li><li>Excellent written and oral communication skills</li></ul><h3>Standout candidates will have:</h3><ul><li>Experience in machine learning for remote sensing data,, hyperspectral data and Geospatial data</li><li>Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray, ENVI</li></ul><h3>Benefits of working at OSK:</h3><ul><li>We offer competitive compensation and equity packages</li><li>Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents</li></ul><br><div><span>ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a </span><a href="http://U.S.citizen">U.S.citizen</a><span> or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State.</span></div><div><br></div><div><span>Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. </span></div>

Machine Learning Engineer

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Orbital Sidekick

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