Top 3207 Machine learning engineer Jobs in Remote$

Google Engineering Lead | AI & Data
Accenture Federal Services —Arlington, VA
- $172,400 - $360,800 a year
- Remote
- Computer Science
- US work authorization
- Military encouraged
Distinguished AI Engineer (Remote Eligible)
Capital One —New York, NY
- Email
- Remote
- Azure
- 6 years
- Computer Science
- Health insurance
1d
Applied Machine Learning Engineer (All Levels)
Allstate —Remote
- $110,000 - $181,025 a year
- Remote
- No experience needed
- Mid-level
- SQL
- Work from home
Remote Machine Learning Engineer
Spotter —Lemont, IL
- Remote
- Azure
- Computer Science
- Writing skills
Quick Apply
5d
Machine Learning Engineer Talent Network
AuraOne Human Data —Remote
- $70 - $250 an hour
- Remote
- Bilingual
- Mid-level
- US work authorization
6d
Machine Learning Engineer
Glassdoor —Remote
- $118,000 - $245,000 a year
- Full-time
- Computer science
- Mid-level
- Military encouraged
- Health insurance
- Paid time off
Quick Apply
Research Engineer, Machine Learning (RL Velocity)
Anthropic —Remote
- $500,000 - $850,000 a year
- Hybrid work
- Mid-level
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Machine Learning Engineer
AuraOne Human Data —Remote
- Remote
- Bilingual
- Writing skills
- Mid-level
6d
Machine Learning Engineer
Allocate —Palo Alto, CA
- $165,000 - $185,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Research Engineer, Machine Learning Systems
Deepgram —Remote
- $150,000 - $250,000 a year
- Full-time
- Remote
- Mid-level
Senior Machine Learning Engineer
Indeed —Remote
- $138,000 - $289,000 a year
- Full-time
- Computer science
- 3 years
- Military encouraged
- Paid parental leave
- Paid holidays
Quick Apply
Machine Learning Engineer
Intone Networks —Remote
- Contract
- Mid-level
- Communication skills
- Python
Machine Learning Engineer II (Servicing ML)
Affirm —San Francisco, CA
- $146,000 - $225,000 a year
- Remote
- Writing skills
- Mid-level
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
Machine Learning Engineer
Hang —Los Angeles, CA
- Full-time
- Remote
- Computer Science
- 5 years
- Research
- Health insurance
- Dental insurance
Machine Learning Engineer
Interwell Health —Boston, MA
- Remote
- Computer science
- Azure
- Computer Science
Machine Learning Engineer 5 - Globalization
Netflix —Remote
- $466,000 - $750,000 a year
- Mentoring
- Senior level
- Communication skills
- Paid holidays
- Health insurance
Machine Learning Research Engineer
Roboflow —Remote
- $168,000 - $255,000 a year
- Full-time
- Master's degree
- Math
- Doctor of Philosophy
- Travel reimbursement
- Work from home
Staff Software Engineer - Machine Learning
General Motors —Remote
- $134,000 - $235,900 a year
- Email
- System design
- Mid-level
- C++
- Health savings account
- Paid holidays
Machine Learning Engineer
Pluralsight —Remote
- $121,600 - $160,000 a year
- Full-time
- 5 years
- Office
- Fair chance
- Health insurance
- Professional development assistance
Senior Machine Learning Engineer, Developer Advocacy | US | Remote
Grafana Labs —Remote
- $154,445 - $185,334 a year
- Remote
- Senior level
- AI
- Communication skills
11d

I want to receive the latest job alert for machine learning engineer in remote$

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning engineer jobs near remote$

Machine Learning Engineer jobs in Remote

Machine Learning Engineer jobs in Palo Alto, CA

Ai Developer jobs in New York, NY

Machine Learning Engineer jobs in San Francisco, CA

Engineering Lead jobs in Arlington, VA

Machine Learning Engineer jobs in Boston, MA

Staff Software Engineer jobs in Remote

Machine Learning Engineer jobs in Monroe, OH

Rf Engineer jobs in Tampa, FL

Learning Development jobs in Miami, FL

Machine Learning Engineer jobs in Alameda, CA

Machine Learning Engineer jobs in Warren, MI

Machine Learning Engineer jobs in Ohio

Custodian Engineer jobs in New York, NY

Machine Learning Engineer jobs in Little Rock, AR

Machine Learning Engineer jobs in Oklahoma City, OK

Devops Engineer jobs in Boston, MA

Machine Learning Engineer jobs in Sacramento, CA

Machine Learning Engineer jobs in Raleigh, NC

Machine Learning Engineer jobs in Columbus, OH

Google Engineering Lead | AI & Data

Accenture Federal Services -
Arlington, VA

Apply Now

Job Details

$172,400 - $360,800 a year

Qualifications

Data transformation pipeline development
Software product demonstrations
Team leadership
Integration Architecture Design (Architecture design skills)
AI platforms (beyond public GPTs)
Enterprise software systems development
Digital transformation
Machine learning cloud services
Machine intelligence
Model deployment
Developing large-scale AI models
Prototype creation
Systems engineering
Cloud Native Design
Leading team collaboration initiatives
Product demos
B2G
Prototypes

Full Job Description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

You Are:

Accenture Federal Services (AFS) is seeking a Google Engineering Lead to join our AI & Data Practice. This high-visibility role is designed for a technical leader who excels at the intersection of pre-sales strategy, enterprise-scale architecture, and hands-on engineering execution. In this capacity, you will serve as the lead engineer for our GTM initiatives with Google, driving the technical vision for new federal pursuits. You will be responsible for both the high-level architectural strategy in client-facing environments and the hands-on leadership of engineering teams developing functional prototypes.

Key Responsibilities

Strategic GTM Enablement: Collaborate with practice and account leaders to identify emerging federal market requirements and translate them into robust, GCP-native solution offerings.
Solution Architecture & Design: Serve as the Lead Solution Engineer for new opportunities. You will be responsible for designing end-to-end, secure, and scalable architectures that integrate the breadth of Google's ecosystem – including but not limited to Google's Gemini models, Vertex AI Model Garden, BigQuery, and and Agent Builder.
Pre-Sales Technical Leadership: Lead technical discovery and solutioning for high-priority federal pursuits. Act as the primary Subject Matter Expert (SME) during client workshops to articulate the value and feasibility of Google Cloud technologies.
Rapid Prototyping Lead: Direct the end-to-end development of Proofs of Concept (PoCs) and prototypes. This includes defining the technical roadmap, selecting the appropriate GCP services, and serving as the lead engineer to ensure a successful "build" for pursuit-related milestones.

Professional Qualifications

Extensive Experience: A minimum of 10 years of experience in systems engineering, cloud architecture, or technical consultancy, with a minimum of 4 years of specialized expertise in Google Cloud Platform (GCP).
Enterprise Solution Architecture: Proven ability to design holistic, multi-service architectures that solve mission-critical federal challenges. You must be able to navigate trade-offs between cost, performance, and security while ensuring alignment with the client's long-term digital transformation goals.
Innovation-Led Pre-Sales Expertise: Proven success as a lead engineer in the end-to-end lifecycle of high-fidelity prototypes that drive market interest. This includes:
- Translating complex federal mission challenges into functional, tangible GCP solutions.
- Designing and executing "North Star" demonstrations that illustrate the future state of a client's environment.
- Leading the "Proof of Value" phase by building functional software, data pipelines, or AI models that validate AFS's technical differentiators to senior federal stakeholders.
Engineering Proficiency: Advanced, hands-on experience in developing and deploying cloud-native applications and data pipelines. Deep technical expertise in Vertex AI, CCAI, GKE, and BigQuery is highly prioritized.
AI/ML Lifecycle Expertise: Proven experience designing, developing, and deploying production-grade AI/ML solutions and architectures including LLM-based applications, computer vision, Agentic AI, and RAG.
Federal Domain Knowledge: Comprehensive understanding of the federal IT landscape, including security requirements (FedRAMP/ATO processes), legacy application landscape, and procurement cycles.
Team Leadership: Experience guiding multi-disciplinary engineering teams through the rapid development of high-fidelity prototypes to support new opportunities.

Education and Certifications

Bachelor's degree in Computer Science, Engineering, or a related technical field.
Required: Google Cloud Professional Cloud Architect.
Preferred: Additional certifications in Google Cloud Data Engineering, Security, or Machine Learning.

The Extras:

US Citizenship Required

What We Believe

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.

Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.

Requesting An Accommodation

Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Apply Now

Refine Your Search

machine learning engineer jobs in remote$

Google Engineering Lead | AI & Data

Distinguished AI Engineer (Remote Eligible)

Applied Machine Learning Engineer (All Levels)

Remote Machine Learning Engineer

Machine Learning Engineer Talent Network

Machine Learning Engineer

Research Engineer, Machine Learning (RL Velocity)

Machine Learning Engineer

Machine Learning Engineer

Research Engineer, Machine Learning Systems

Senior Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer II (Servicing ML)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer 5 - Globalization

Machine Learning Research Engineer

Staff Software Engineer - Machine Learning

Machine Learning Engineer

Senior Machine Learning Engineer, Developer Advocacy | US | Remote

I want to receive the latest job alert for machine learning engineer in remote$

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected