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Remote Machine Learning Postdoc Jobs in Washington, DC

Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

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Remote Machine Learning Postdoc information

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

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.
What are the most commonly searched types of Machine Learning Postdoc jobs in Washington, DC? The most popular types of Machine Learning Postdoc jobs in Washington, DC are:
What are popular job titles related to Remote Machine Learning Postdoc jobs in Washington, DC? For Remote Machine Learning Postdoc jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Washington, DC look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Washington, DC are:

Machine Learning Engineers (Remote, Continental United States)

International Consulting Associates

Arlington, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area.

We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting‐edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!

We are results‐focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced‐Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS. At ICA, we believe our success starts with our people.

We foster a collaborative "one team" environment where work‐life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.

We are looking for Machine Learning Engineers to join our growing team! About the role As a Machine Learning Engineer at ICA, you will be at the forefront of applying machine learning techniques to solve complex problems and enhance our products and services. Your role will involve developing and implementing machine learning models, collaborating with cross‐functional teams, and contributing to the advancement of our AI capabilities.

About you You are a curious and driven Machine Learning Engineer with a strong foundation in Python and hands‐on experience building and deploying ML models in cloud environments like AWS. You thrive on solving complex problems with multilayered data and enjoy optimizing algorithms for performance and scalability. Your collaborative mindset allows you to work seamlessly with data scientists, engineers, and product teams to bring intelligent solutions to life.

You stay current with the latest ML techniques and tools, and you're passionate about turning prototypes into production‐ready systems that deliver real‐world impact. Responsibilities Study and transform data science prototypes Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Run machine learning tests and experiments Perform statistical analysis and fine‐tuning using test results Extend existing ML libraries and frameworks Optimize machine learning algorithms for performance, scalability, and reliability Stay updated with the latest machine learning techniques and technologies, and proactively identify opportunities to apply them in our context Collaborate with data engineers and scientists to build efficient data pipelines for training and deploying machine learning models Monitor and maintain the performance of deployed models, and iterate on them to continuously improve results Required qualifications 2+ years of experience in developing and deploying machine learning models in a professional environment Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related field Strong programming skills in Python, with experience in machine learning frameworks like TensorFlow, PyTorch, or Keras At least one year of experience with cloud computing services, particularly AWS services like EC2, S3, Lambda, and SageMaker Strong understanding of machine learning algorithms, data structures, and software engineering principles Excellent problem‐solving skills with a focus on practical business applications Experience with front‐end application development to support presentation of ML applications Experience in handling large datasets and developing scalable machine learning solutions. Excellent communication skills, both written and verbal, for effective collaboration with technical and non‐technical teams.

A continuous learning mindset, with a passion for staying up‐to‐date with the latest advancements in machine learning and AI. Experience with version control tools like Git, and CI/CD pipelines Ability to obtain a Public Trust Clearance Benefits We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits. Health Insurance – 100% employer‐paid premiums – ICA covers the full cost of one of three offered medical plans Dental Insurance Vision insurance Health Spending Account Flexible Spending Account Life and Disability insurance 401(k) plan with company match Paid Time Off (Vacation, Sick Leave and Holidays) Education and Professional Development Assistance Remote work from anywhere within the continental United States Location & Telework This is a remote position.

Candidates residing in the DMV area preferred. Additional Information ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. #J-18808-Ljbffr