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Phd Machine Learning Startup Jobs in Utah (NOW HIRING)

SoFi

Fraud Model Analyst

Cottonwood Heights, UT

We offer the excitement of a rapidly growing startup with the stability of an industry leading ... Familiarity with machine learning concepts and ability to interpret model outputs and performance ...

Replit

Mid-Market Account Executive

Salt Lake City, UT · On-site

$180K - $220K/yr

... machine learning is a plus * Willingness to travel up to 25% of the time for client meetings and events Nice to have: * You're an active Replit user * You've worked at an early-stage startup or in ...

SoFi

Fraud Model Analyst

Cottonwood Heights, UT · On-site

We offer the excitement of a rapidly growing startup with the stability of an industry leading ... Familiarity with machine learning concepts and ability to interpret model outputs and performance ...

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Phd Machine Learning Startup information

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional in a startup environment, and why are they important?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.

What are some common challenges faced by PhD-level professionals working in machine learning startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

What do PhD holders in Machine Learning do at startups?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.
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Phd Machine Learning Startup jobs near you
DevOps & Google Cloud Platform Engineer

DevOps & Google Cloud Platform Engineer

Medici Land Governance

Salt Lake City, UT • On-site, Remote

$52 - $71.25/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Job description

Job Description: DevOps & Google Cloud Platform Engineers support the Development Teams in Salt Lake City and Ireland and provide technical support for MLG applications deployed for Zambia, Rwanda, and other sites in the future. You will coordinate with architects and developers to design our cloud and on-premise deployments, ensuring that they are stable and secure. You will help train the rest of the engineering team on best practices. You will audit systems and deliverables for standards of security, monitoring, and reliability. You will also assist with internal technical support (e.g., permissions, and services). What You Will Do:Design and deploy with Kubernetes in Google Cloud Manage and monitor our cloud infrastructure Assist and sometimes lead developers to ensure their products are ready for deployment Develop, maintain, and enhance the CI/CD procedures and processes, communicating and training those aspects to stakeholders Coordinate with architects and developers to design our cloud and on-premise deployments, ensuring that they are stable and secure Help train the engineering team on best practices Audit systems and deliverables for standards of security and reliability Assist with internal technical support (e.g., permissions, services) What You Should Have:Bachelor’s Degree in Computer Engineering or another relevant field 3-5 years of relevant experience, with a proven track record of resolving problems Understanding of Docker and its tooling Familiarity with some IAAS tools, (e.g., Puppet, Chef, Terraform, Vagrant) Understanding of Git and CI/CD best practices, preferably Gitlab (or GitHub) Experience deploying solutions into a Cloud provider, ideally Google Cloud (e.g., Kubernetes, SQL, storage) Experience with DNS, CloudFlare, and cloud networking Excellent communication skills, both written and oral, and the ability to communicate technical issues to the Development team Ability to work remotely and autonomously with little oversight Flexibility to accommodate communication across time zones, sometimes including night and weekend calls Fluency in English, both oral and written Passion for our MLG mission and desire to be part of a dynamic, growing companyWhat We Hope You Have:Experience with Python Experience deploying Java or Node services Familiarity with support services tools (e.g., JIRA) Experience with Kustomize and YAML formatting Experience in a startup Experience with blockchains, big data, or machine learning Business experience, preferably in land and property rights, land titling, and land administration systems What We Offer:Flexible work schedulesComprehensive Medical, Dental, and Vision benefitsBasic Term Life & AD&D (company paid)Short/Long Term Disability (company paid)Employee Assistance Program (EAP) (company paid)401(K) Retirement Plan (6% company match)Supplemental & Voluntary PlansCommuter BenefitsFlexible Spending Account (FSA)Health Savings Account (HSA)Legal & Financial ProtectionPet Insurance & Discount Programs*Benefits vary based on position, tenure, location, and employee election
Additional Information: Equal Employment Opportunity:It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.

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