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Remote Director Machine Learning Jobs in Maryland

Quora

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2 LI-REMOTE

Posted today

Deckers

Director, Data Platforms & Engineering Location: United States (Remote) Interested applicants must ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Digital Harbor Foundation

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

... on remote sensing and field data. This role specifically is for the internal development of data driven physics and machine learning methods. Climate change is destabilizing marine ice sheets ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... and machine learning enablement * Promote architectural patterns that enable resilience ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

ABB

OEM Sales Director-Machinery

Baltimore, MD · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Marriott

Manager, Reporting and Analysis

Bethesda, MD · On-site +1

Apply machine learning or statistical modeling techniques (e.g., clustering, segmentation ... Remote positions. Marriott International is the world's largest hotel company, with more brands ...

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Remote Director Machine Learning information

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.
What are the most commonly searched types of Remote Machine Learning jobs in Maryland? The most popular types of Remote Machine Learning jobs in Maryland are:
What are popular job titles related to Remote Director Machine Learning jobs in Maryland? For Remote Director Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Director Machine Learning jobs in Maryland look for? The top searched job categories for Remote Director Machine Learning jobs in Maryland are:
What cities in Maryland are hiring for Remote Director Machine Learning jobs? Cities in Maryland with the most Remote Director Machine Learning job openings:
    Remote Director Machine Learning jobs near you
    Machine Learning Engineer New Grad 2024-2025 -Remote

    Machine Learning Engineer New Grad 2024-2025 -Remote

    Quora

    Remote

    $139K - $168K/yr

    Full-time

    Medical, Dental, Vision, PTO

    Posted 7 hours ago

    Posted today

    Job description

    About Quora:

    Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

    • Quora : a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
    • Poe : a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

    Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

    This role will be working on our Poe product.

    About the Team and Role:

    Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

    At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

    Responsibilities:
    • Improve our existing Machine Learning systems using your expertise
    • Identify new opportunities to apply Machine Learning to different parts of the Poe product
    • Work with other engineers to implement algorithms and systems in an efficient way
    • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
    Minimum Requirements:
    • Ability to be available for meetings and impromptu communication during Quora's “ coordination hours " (Mon-Fri: 9am-3pm Pacific Time)
    • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
    • Strong understanding of mathematical foundations of Machine Learning algorithms
    • Experience of transformer models and LLM applications
    • Strong knowledge of Python or C++, or the ability to learn them quickly
    • A passion for learning and always improving yourself and the team around you
    Preferred Requirements:
    • Previous software engineering experience via an internship, work experience, or coding competition
    • Previous industry experience working on natural language processing, language modeling, etc.
    • Passion for Quora's mission and goals

    At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

    Additional Information:

    We are accepting applications on an ongoing basis.

    Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link:

    There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

    • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
    • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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