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Machine Learning Contract Remote Jobs (NOW HIRING)

Calendly

Machine Learning Engineer

... their data contracts, SLAs, and dependencies. * Be a frequent user of AI Tools and champion of ... Calendly uses the zip code of an employee's remote work location, or the onsite building location ...

Instacart

Machine Learning PhD Intern, Economics

$50/hr

You will help design and build end-to-end machine learning solutions. * You will be working in ... This role is remote and the base pay range for a successful candidate is dependent on their ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

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 ...

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

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 ...

Halvik

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 ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

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 ...

Apex Informatics

Senior Machine Learning Engineer

$107K - $146.90K/yr

Remote Interview Mode: Virtual interview Type: Long term contract Rate: Open (Can submit at any ... We seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... This position is contingent upon award of contract. Roles and Responsibilities * Design, develop ...

Allied

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

POSITION SUMMARY The Senior Machine Learning Engineer is responsible for designing, building, and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Paylocity

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

This is a fully remote position, allowing you to work from home or location of record within the U ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

Paylocity

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

This is a fully remote position, allowing you to work from home or location of record within the U ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

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Machine Learning Contract Remote information

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$25.5K

$42.6K

$88K

How much do machine learning contract remote jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning contract remote in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Contractor in a remote role, and why are they important?

To thrive as a Machine Learning Contractor working remotely, you need strong proficiency in mathematics, programming (typically Python), and a solid understanding of machine learning algorithms, usually supported by a relevant degree or equivalent experience. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure is essential, as well as experience with version control systems like Git. Excellent self-motivation, time management, and communication skills help you effectively collaborate with distributed teams and manage multiple projects independently. These competencies are crucial for delivering high-quality, scalable solutions and meeting client expectations in a flexible, remote work environment.

What are some common challenges faced by remote machine learning contractors, and how can they be effectively addressed?

Remote machine learning contractors often face challenges such as managing communication across time zones, accessing necessary data securely, and staying aligned with the client's project expectations. To address these, it’s important to establish clear communication channels, use secure data transfer protocols, and schedule regular check-ins with project stakeholders. Building strong documentation habits and leveraging collaborative tools like version control or shared notebooks can also help ensure smooth workflow and project transparency.

What are machine learning contract remote jobs?

Machine learning contract remote jobs are temporary work opportunities where professionals use machine learning techniques to solve problems for organizations, but do so remotely, often from home or another location. These roles typically involve building, training, and deploying models, analyzing data, and collaborating with teams virtually. Contracts can vary in length and scope, allowing flexibility for both the employer and the worker. These positions are ideal for individuals seeking project-based work or more flexible schedules, and require strong technical skills and the ability to communicate effectively online.

What is the difference between Machine Learning Contract Remote vs Data Scientist Contract Remote?

AspectMachine Learning Contract RemoteData Scientist Contract Remote
Required CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentRemote, project-based, often collaborative with ML engineersRemote, analytical, often cross-functional teams
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Common Search & ComparisonYesYes

Machine Learning Contract Remote roles focus on developing and deploying ML models, requiring specialized skills in algorithms and frameworks. Data Scientist Contract Remote positions emphasize data analysis, statistical modeling, and insights generation. While both roles often work remotely and share similar credentials, their core responsibilities differ, making this comparison useful for job seekers exploring related opportunities.

More about Machine Learning Contract Remote jobs
What cities are hiring for Machine Learning Contract Remote jobs? Cities with the most Machine Learning Contract Remote job openings:
What are the most commonly searched types of Machine Learning Remote jobs? The most popular types of Machine Learning Remote jobs are:
What states have the most Machine Learning Contract Remote jobs? States with the most job openings for Machine Learning Contract Remote jobs include:
What job categories do people searching Machine Learning Contract Remote jobs look for? The top searched job categories for Machine Learning Contract Remote jobs are:
Machine Learning Contract Remote jobs near you
Infographic showing various Machine Learning Contract Remote job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 68% Full Time, 26% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Calendly

Remote

Full-time

Posted 8 days ago

Job description

What's in it for you?
Ready to make a serious impact? Millions of people already rely on Calendly, and we're still in the midst of exciting product growth - it's a fantastic time to join us. Everything you'll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you've ever worked with, then we hope you'll consider allowing Calendly to be a part of your professional journey.
About the team & opportunity
What's so great about working on Calendly's Data Science & Machine Learning team?
We make things possible for our customers through innovation in data, analytics and AI.
Why do we need you? Well, we are looking for a Machine Learning Engineer who will deliver business value by executing the full machine learning lifecycle hands-on, from problem discovery through model deployment and monitoring. You will report to the head of Data Science & Machine Learning and will be responsible for building and operating ML-powered features that create magical experiences for our customers.
Our team:
  • Drives business insights, strategic decision making, executive level and cross organizational business growth, and magical customer experiences for our end customers through impactful innovation.
  • Works closely with product, design, marketing, customer success, and engineering teams to implement ML models that improve the customer journey in service to growth and efficiency (for example, understanding the relationships among customers' behavior and business performance).
  • Has a strong product focus and passion for using machine learning to solve real world problems, and understands that being an effective MLE is about collaborating with people as much as it is about writing code.

You will join a high performing AI team and be an integral part of building new, machine learning based experiences for internal and external customers alike.
What you'll do
On a typical day, you'll own features end to end within our ML ecosystem, with growing independence and impact.
  • Own ML powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
  • Understand and share domain knowledge, answering domain specific questions for your product area and documenting what you learn for the team.
  • Prioritize your work independently, balancing feature development, quality, and maintenance, and communicating tradeoffs clearly.
  • Proactively seek and offer support to teammates pairing, reviewing, and collaborating to move projects forward.
  • Understand and troubleshoot our deployment pipelines, including build, test, and release steps for ML services and data pipelines.
  • Use our monitoring and observability tools to effectively triage alerts and incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team's on-call rotation and incident response.
  • Serve as a subject matter expert for the features and services you own, including their data contracts, SLAs, and dependencies.
  • Be a frequent user of AI Tools and champion of adoption to the rest of the company.

What do we need from you?
  • 4+ years of industry experience in applied Machine Learning or closely related fields (or equivalent combination of education and experience) with a demonstrated track record of shipping and operating ML models in production.
  • Deep and demonstrated ability to traverse the full spectrum of ML life cycle: exploratory data analysis, feature engineering, data visualization, feature and algorithm selection, model experimentation, model training and validation, model serving, monitoring and retraining
  • Experience developing and implementing statistical and ML models to uncover patterns, trends, and predictions in areas such as revenue forecasting, churn analysis, personalization and recommendation, anomaly detection, or natural language processing.
  • Hands-on experience implementing ML models using a managed service (for example, Vertex AI or SageMaker) for high-traffic, low-latency, large-data applications that produced tangible impact for end users.
  • Understanding of foundation models and the open-source ecosystem, including model fine-tuning and prompt engineering for real product use cases.
  • Strong programming (Python / Scala / Java / SQL etc) and data engineering skills
  • Proficiency in ML frameworks such as: Keras, Tensorflow and PyTorch and ETL and ML workflow frameworks like Apache Spark, Beam, Airflow and VertexAI
  • Experience working with time series data and related machine learning problems. Working knowledge of semantic search and embeddings
  • Recognize when to seek assistance and willing to learn whatever is needed to get the job done; curiosity and growth mindset are essential.
  • You have strong verbal and written communication skills. Ability to communicate complex technical concepts to both technical and business stakeholders. You are comfortable working remotely and with enabling tools like Slack, Confluence, etc.
  • Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time

What's in it for you?
Ready to make a serious impact? Millions of people already rely on Calendly's products, and we're still in the midst of our growth curve - it's a fantastic time to join us. Everything you'll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you've ever worked with, then we hope you'll consider allowing Calendly to be a part of your professional journey.
Our Hiring Process:
We aim to provide an inclusive and equitable candidate experience to everyone who expresses interest in working at Calendly. To learn more about our hiring process, please visit our careers page at www.careers.calendly.com.
Once selected for an opportunity, the recruiter assigned to the role will keep you informed every step of the way. Have questions? Let your recruiter know! Want to share your experience? We are passionately committed to improving and building on our process, and we consider feedback a gift.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com .
Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Alabama, Delaware, Hawaii, Idaho, Montana, North Dakota, South Dakota, Nebraska, Iowa, West Virginia, and Rhode Island, you will not be eligible for employment. Note that all individual roles will specify location eligibility.
All candidates can find our Candidate Privacy Statement here
Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection
Tier 1 Salary Hiring Range
$202,542-$245,434 USD
Tier 2 Salary Hiring Range
$185,664-$224,981 USD
Tier 3 Salary Hiring Range
$168,785-$204,528 USD
The ranges listed above are the expected annual base salary for this role, subject to change.
Calendly takes a number of factors into consideration when determining an employee's starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity.
Base salary is just one component of Calendly's total rewards package. All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits.
Calendly uses the zip code of an employee's remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows:
  • Tier 1: San Francisco, CA, San Jose, CA, New York City, NY
  • Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA.
  • Tier 3: All other locations not in Tier 1 or Tier 2

If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, you will not be eligible for employment. Note that all individual roles will specify location eligibility.
All candidates can find our Candidate Privacy Statement here
Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection
This role may require occasional travel for company events, team collaboration, or offsites.

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