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Remote Machine Learning Engineer Jobs in Schenectady, NY

Staff Solutions Engineer - New York

Albany, NY ยท Remote

$200K - $260K/yr

As a Staff Solutions Engineer at Kong, you won't just be selling a platform -- you'll be a trusted technical advisor helping the world's most innovative enterprises architect secure, scalable API ...

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Remote. Our Team Dynamics Our teams support each other, collaborate, and never stop learning ... High School Diploma with a minimum of 8 years of engineering / field experience. Additional formal ...

Database Administrator

Schenectady, NY ยท On-site +1

$65K - $75K/yr

The ideal candidate is comfortable rolling up their sleeves, learning complex business logic, and ... Collaborate with developers, business analysts, and stakeholders to understand system workflows and ...

Database Administrator

Schenectady, NY ยท On-site +1

$65K - $75K/yr

The ideal candidate is comfortable rolling up their sleeves, learning complex business logic, and ... Collaborate with developers, business analysts, and stakeholders to understand system workflows and ...

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Remote Machine Learning Engineer information

See Schenectady, NY salary details

$30.5K

$124.6K

$187.2K

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

As of Jul 3, 2026, the average yearly pay for remote machine learning engineer in Schenectady, NY is $124,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in Schenectady, NY? The most popular types of Machine Learning Engineer jobs in Schenectady, NY are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Schenectady, NY? For Remote Machine Learning Engineer jobs in Schenectady, NY, the most frequently searched job titles are:
What cities near Schenectady, NY are hiring for Remote Machine Learning Engineer jobs? Cities near Schenectady, NY with the most Remote Machine Learning Engineer job openings:
Infographic showing various Remote Machine Learning Engineer job openings in Schenectady, NY as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $124,587 per year, or $59.9 per hour.

$92K - $120K/yr

Full-time

Posted 17 days ago


Job description

Summary
This is a Direct Hire Authority (DHA) solicitation utilizing the DHA for Domestic Defense Industrial Base (DIB) & MRTFB in DoD to recruit and appoint qualified candidates to positions in the competitive service.
About the Position: The Watervliet Arsenal is an Army-owned and -operated manufacturing center located in New York. It is the oldest, continuously active arsenal in the United States having begun operations in 1813.
Learn more about this agency
Duties
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  • Prepares documents for the development of construction packages.
  • Researches and prepares project development and detailed paragraph justifications for projects.
  • Projects involve determining total project considerations such as alternatives, cost economic analysis, feasibility, need, job requirements, budget, etc.
  • Modifies or makes compromises with standard methods to insure the validity of projects and the installation mission capability.
  • Monitors, coordinates, reviews, assess the technical adequacy of plans, provides specification requirements for major projects.
  • Reviews and coordinates design analysis, cost estimates, and specifications for complex structures based on very broad and general guidance from the user.
  • Monitors contract activity to assure compliance with contract provisions and standards.

Requirements
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Conditions of employment
  • Appointment may be subject to a suitability or fitness determination, as determined by a completed background investigation.
  • The duties of this position require occasional temporary duty (TDY) travel.

Qualifications
Who May Apply: US Citizens
In order to qualify, you must meet the education and/or experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document.
In order to qualify, you must meet the education and experience requirements described below:
Basic Requirement for General Engineer:
A. Degree: Bachelor's degree (or higher degree) in engineering. To be acceptable, the program must: (1) lead to a bachelor's degree (or higher degree) in a school of engineering with at least one program accredited by the Accreditation Board for Engineering and Technology (ABET); OR (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. (Note: You must attach a copy of your transcripts.)
OR
B. Combination of Education and Experience: College-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following:
1. Professional registration or licensure - Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions. (Note: You must attach a copy of your registration or licensure.)
2. Written Test - Evidence of having successfully passed the Fundamentals of Engineering (FE) examination, or any other written test required for professional registration, by an engineering licensure board in the various States, the District of Columbia, Guam, or Puerto Rico. (Note: You must attach a copy of your certificate.)
3. Specified academic courses - Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in A above. The courses must be fully acceptable toward meeting the requirements of an engineering program. (Note: You must attach a copy of your transcripts.)
4. Related curriculum - Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (Note: You must attach a copy of your transcripts.)
In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
Specialized Experience: Your resume must reflect one year of specialized experience which includes: 1) Conducting technical review of all designs and construction projects to ensure accuracy; 2) Providing recommendations for improvements in order to meet program objectives; and 3) Coordinating data with mission personnel through all stages of the project to assure timely and efficient implementation of project. This definition of specialized experience is typical of work performed at the next lower grade/level position in the federal service (GS-11).
Some federal jobs allow you to substitute your education for the required experience in order to qualify. For this job, you must meet the qualification requirement using experience alone - no substitution of education for experience is permitted.
Education
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/
Additional information
  • Male applicants born after December 31, 1959, must complete a Pre-Employment Certification Statement for Selective Service Registration.
  • You will be required to provide proof of U.S. Citizenship.
  • This position requires a 1 year probationary period during which the agency evaluates your fitness and whether your continued employment advances the public interest. In making this determination, the agency may consider your performance and conduct; agency needs and interests; whether your continued employment supports organizational or Government goals; and whether it promotes the efficiency of the Federal service. Continued employment requires written certification that it advances the public interest.
  • Direct Deposit of Pay is required.
  • Selection is subject to restrictions resulting from Department of Defense referral system for displaced employees.
  • If you have retired from federal service and you are interested in employment as a reemployed annuitant, see the information in the Reemployed Annuitant information sheet.
  • This is a Science, Engineering and Analysis Career Field position.
  • Multiple positions may be filled from this announcement.
  • Salary includes applicable locality pay or Local Market Supplement.
  • Payment of Permanent Change of Station (PCS) costs is not authorized, based on a determination that a PCS move is not in the Government interest.

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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
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Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.