Top 105 Algorithm models quantum algorithm algorithms quantum algorithm Jobs

Machine Learning Lead Engineer
Cox Automotive —Atlanta, GA
- $134,900 - $224,900 a year
- Full-time
- 18 years or older
- Management
- Master's degree
- Paid jury duty
- Paid holidays
14d
Senior Director Analyst, Cryptography, Remote United States
Gartner —Remote
- $172,000 - $202,500 a year
- Email
- Hybrid work
- Computer science
- Computer Science
- HIPAA
- Paid time off
- 401(k) matching
Computational Scientist – Metasurfaces, Photonics, and Inverse Design
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Mid-level
- Master's degree
- 1 year
- Disability insurance
- Health insurance
4d
ASIC Digital Design Engineer
Keysight Technologies, Inc. —Colorado Springs, CO
- $96,150 - $160,250 a year
- Full-time
- 5 years
- Bachelor of Science
- Office
- Health savings account
- Employee stock purchase plan
Sr Software Engineer II - Technology Research and Development
American Express —New York, NY
- $123,000 - $215,250 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Engineering
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9d
Senior Data Scientist
MANTECH —Chandler, AZ
- Full-time
- Azure
- Oracle
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Senior Finance Manager, Capital Planning & Management
PsiQuantum —Palo Alto, CA
- $155,000 - $178,000 a year
- Email
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- 8 years
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9d
R&D Hardware Design Validation Engineer
Keysight Technologies, Inc. —Santa Rosa, CA
- $76,000 - $128,000 a year
- Full-time
- Bachelor of Science
- Mid-level
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- Health savings account
- Employee stock purchase plan
Solution Developer II - Automation & Innovation Management
Inland Empire Health Plan —Rancho Cucamonga, CA
- $104,041.60 - $137,841.60 a year
- Full-time
- Hybrid work
- Computer Science
- HIPAA
- Research
- Disability insurance
- Health insurance
Senior Director, Developer Ecosystem
IonQ —Seattle, WA
- $265,423 - $347,507 a year
- Overtime
- Computer science
- 11+ years
- Product management
- Paid holidays
- Health insurance
4d
SoC Firmware Engineer
E-Space —Saratoga, CA
- $150,000 - $220,000 a year
- Weekends as needed
- Computer Science
- System design
- Office
- Paid holidays
- Paid time off
Communications Specialist - AI
Milltown Partners —San Francisco, CA
- $140,000 - $170,000 a year
- Full-time
- Hybrid work
- Office
- Senior level
- Teaching
- Commuter assistance
- Paid parental leave
Principal Product Manager
Microsoft —Redmond, WA
- $165,600 - $331,200 a year
- Full-time
- Background check
- 8 years
- Bachelor's degree
Senior Product Manager
Keysight Technologies, Inc. —Santa Clara, CA
- $193,840 - $323,070 a year
- Full-time
- Azure
- Computer Science
- Public speaking
- Health savings account
- Employee stock purchase plan
SENIOR SOFTWARE DEVELOPER/ENGINEER
Quantum Research International Inc —Huntsville, AL
- Full-time
- 7 years
- Computer Science
- Bachelor of Science
Quick Apply
Physical Scientist/Mathematican
US Department of Energy - Agency Wide —Germantown, MD
- $169,279 - $197,200 a year
- Part-time
- Background check
- Pass drug screening
- Math
1d
Platform Engineer - Security (Platform Architecture)
Apple —Austin, TX
- $181,100 - $272,100 a year
- Bachelor of Science
- Research
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
13d
Principal Applied Scientist, Amazon Braket
Amazon Development Center U.S., Inc. —Seattle, WA
- $198,900 - $295,900 a year
- Full-time
- Computer Science
- Java
- Analysis skills
- AD&D insurance
- Health insurance
3d
AI/ML Engineer
Expatsitinc.com —Texas City, TX
- $59,463.22 - $71,611.63 an hour
- Contract
- Mid-level
- Java
- AWS
Quick Apply
1d
Applied Scientist, TSI - Science
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
3d

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Machine Learning Lead Engineer

Cox Automotive -
Atlanta, GA

Apply Now

Job Details

Full-time
$134,900 - $224,900 a year
14 days ago

Benefits

Paid jury duty
Paid holidays
Military leave
Paid time off
Parental leave
Volunteer time off
Bereavement leave

Qualifications

AI models
Systems integration
Managerial strategic planning
Corporate research
Content creation for technical audiences
Management
Requirements design
Tooling
Team leadership
Competitive analysis
AI platforms (beyond public GPTs)
Computational framework
Research project design
System design for system development
Team development
Machine learning cloud services
AWS
Research project technical leadership
Machine intelligence
Production validation processes
Model deployment
Requirements analysis
Rally (agile software)
Leading team collaboration initiatives
Data-driven problem-solving
Digital project management boards
System requirements definition
Networking through strategic partnership building
Defect tracking tools
Machine learning libraries

Full Job Description

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML initiatives and drive innovation across the organization. This role combines technical leadership in cutting-edge research with the responsibility of building a culture of continuous learning and knowledge sharing. You'll lead efforts to identify, evaluate, and prototype emerging ML technologies while establishing our company as a thought leader in the ML community. Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems, and models for big data predictive applications. Develops AI/ML-powered solutions based on business needs. Researches, implements, and tests machine learning methods to create product features, automate workflows, extract insights from data, and improve data quality. Structures, trains, and deploys models to learn from complex data across multiple modalities (e.g., structured, unstructured, image, video, audio) to uncover patterns and develop practical solutions. Possesses deep knowledge in at least one sub-area of machine learning, such as deep learning, generative AI, computer vision, optimization, predictive models, or causal machine learning.

WHAT YOU'LL DO

Key Responsibilities

Accelerate ML development using AI tools for code generation, feature engineering, optimization, and validation
Stay up to date with advancements in ML, AI, and emerging technologies
Design, build, and maintain ML models, algorithms, and robust pipelines for data processing, training, and inference
Optimize model performance, scalability, and reliability in production environments
Collaborate cross-functionally to translate model insights into business value and communicate project updates

Contribute to ML infrastructure improvements, best practices, and documentation
Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring frameworks.
Establish AI governance practices including bias detection, interpretability, compliance monitoring, and responsible deployment.
Mentor teams in AI adoption, share best practices, and promote responsible AI innovation culture.
Lead AI transformation initiatives including tool evaluation, governance development, and strategic adoption planning.

Analyzes complex data sets to solve real-world business and customer use cases.
Performs end-to-end development of machine learning models
May assist with or lead the development of industry whitepapers or other technical publications.
Continuously evaluate AI processes for accuracy, efficiency, and business impact while staying current on emerging technologies.

Key AI Use Cases

AI-Accelerated Model Development: Use GitHub Copilot, Claude Code for rapid ML prototyping, automated feature engineering, and intelligent hyperparameter optimization.
Agentic ML Workflows: Understand and deploy (P4+) AWS AgentSquad, AWS Strands, LangChain agents for autonomous training pipelines, multi-step analysis, and collaborative research.
AI-Enhanced Model Interpretation: Build on traditional frameworks (SHAP, LIME) with AI tools for enhanced stakeholder communication and automated insights.
AI-Powered Research: Leverage manual/autonomous competitive intelligence and research acceleration tools for methodology discovery and algorithm innovation.

WHO YOU ARE

Required Skills

Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.

Required Qualifications

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
Deep expertise in multiple ML domains and familiarity with emerging research areas
Strong experience in technology evaluation, competitive analysis, and strategic planning
Comfortability with non-deterministic systems
Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
Experience in Rally, Jira or similar tools
Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
Proven track record of leading innovative projects from concept to proof-of-concept
Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
Experience building and leading high-performing research or innovation teams
Excellent communication skills for technical and executive audiences
Strong network within the ML research community
Experience with research collaboration and partnership development
Other duties as needed or required
Must be comfortable with change and an evolving environment

Preferred Qualifications

Experience in corporate research labs, innovation teams, or technology consulting
Track record of identifying and successfully implementing breakthrough technologies
Background in technology transfer from research to business applications
Strong presence in the ML community (conference speaking, open-source contributions, etc.)
Knowledge of emerging areas such as LLMs, Agents, foundation models, multimodal AI, or quantum ML

Leadership Expectations

Foster a culture of experimentation, learning, and calculated risk-taking
Drive consensus on research priorities while maintaining innovation velocity
Develop talent through mentoring in both technical skills and research methodologies
Communicate complex experimental results and strategic implications to all organizational levels
Lead by example in intellectual curiosity, scientific rigor, and knowledge sharing
Build bridges between cutting-edge research and practical business applications
Establish the team as a recognized center of excellence in experimental ML

USD 134,900.00 - 224,900.00 per year

Compensation:

Compensation includes a base salary in the range of $134,900.00 - $224,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Benefits:

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

EOE, including disability/vets

Apply Now

Refine Your Search

algorithm models quantum algorithm algorithms quantum algorithm jobs

Machine Learning Lead Engineer

Senior Director Analyst, Cryptography, Remote United States

Computational Scientist – Metasurfaces, Photonics, and Inverse Design

ASIC Digital Design Engineer

Sr Software Engineer II - Technology Research and Development

Senior Data Scientist

Senior Finance Manager, Capital Planning & Management

R&D Hardware Design Validation Engineer

Solution Developer II - Automation & Innovation Management

Senior Director, Developer Ecosystem

SoC Firmware Engineer

Communications Specialist - AI

Principal Product Manager

Senior Product Manager

SENIOR SOFTWARE DEVELOPER/ENGINEER

Physical Scientist/Mathematican

Platform Engineer - Security (Platform Architecture)

Principal Applied Scientist, Amazon Braket

AI/ML Engineer

Applied Scientist, TSI - Science

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