Commute Time
Date Posted
Title
Job Type
Benefits
Pay
7860 Engineer Ai Machine Learning jobs in Los Angeles,CA
ML/AI Data Engineer (Remote)
FEI Systems
Los Angeles, CA
Remote
Senior AI/ML Software Engineer - Remote
UnitedHealth Group
Los Angeles, CA
$91,700-$163,700/yr
RemoteRetirement Benefit
AI Full Stack Developer
CACI International Inc
Los Angeles, CA
New, Posted 3 hours ago
ResumeLibrary
Machine Learning AI Engineer
Jobot
Los Angeles, CA 90079
$65,000/yr
Bilingual PreferredHealth InsuranceRetirement Benefit
New, Posted 3 hours ago
AI Systems Analyst III
CareSource
Los Angeles, CA
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower
Los Angeles, CA
Machine Learning Engineer
Hang
Los Angeles, CA 90011
RemoteHealth Insurance
- Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
- Experience with data processing and data analytics.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
- Strong communication skills and ability to work well in a team.
- 5+ years of experience in machine learning and data related roles.
- Proven experience as a Machine Learning Engineer or in a similar role.
- Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.
- Experience with snowflake, Postgres, RDS, Redis and AWS.
- Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.
Entry Level AI Developer
Synergisticit
Los Angeles, CA 90079
Sr Machine Learning Engineer
Disney
Burbank, CA 91505
$155,700-$208,700/yr
~ 21 min Onsite
- Build emulation and simulation environments (digital twins) of the infrastructure to test AI/ML-driven automation under realistic scenarios and allow for faster ideation and iteration for architects and engineers.
- Applies systems thinking to understand how individual components fit into larger, more holistic solutions.
- Demonstrated success designing and building enterprise-scale systems and reusable software frameworks.
- Capable of quickly shifting between detailed, hands-on work and high-level strategic thinking.
- Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
- Experience with AI/ML technologies and data engineering concepts. Preferred: Proven hands-on building AI agents.
- 7+ years of software engineering experience, with expertise in automation, machine learning, and AI technologies
- Solid foundation in statistics, data analysis, and applied machine learning techniques
- Proven hands-on experience using software to build frontend, APIs and backend functionality; strong proficiency with Python, JavaScript, TypeScript, Go, or Rust
- Experience operationalizing models in distributed, production environments
- Design, train, and deploy machine learning models for anomaly detection, forecasting, predictive analytics, event correlation, pattern recognition, classification, causal analysis, and more in distributed environments that can be used to surface leading indicators of failure
- Experience working with large-scale, real-world datasets (noisy, incomplete, non-standardized, and evolving)
- Ability to translate ambiguous operational problems into solvable machine learning use cases
- Experience with modern cloud platforms, container orchestration (Kubernetes/Docker), identity/auth frameworks, data and workflow orchestration.
- Strong hands-on experience building and deploying event-driven or streaming data, machine learning models in production
- Proven hands-on experience building production-grade ML models and inference pipelines; strong proficiency with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, etc.
- Strong communication, collaboration and leadership skills
Machine Learning Applications Engineer (LA/DC Preferred)
Virtualitics
Los Angeles, CA 90011
RemoteHealth Insurance
- Must be open to obtaining and maintaining a U.S. government security clearance.
- Familiarity with Docker, Kubernetes, and Git.
- Proven track record of deploying software into production environments.
- Excellent communication skills in English, both written and verbal.
- A degree in Computer Science or related field, or 4+ years of software engineering experience.
- Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit‑learn, PyTorch, Matplotlib, etc.).
What companies are hiring Engineer Ai Machine Learning jobs in Los Angeles,CA?
- FEI Systems
- UnitedHealth Group
- CACI International Inc
- Jobot
- CareSource
- Hudson Manpower
- Hang
- Synergisticit
- Disney
- Virtualitics
- FEI Systems
- UnitedHealth Group
- CACI International Inc
- Jobot
- CareSource
- Hudson Manpower
- Hang
- Synergisticit
- Disney
- Virtualitics
What is the yearly salary range for Engineer Ai Machine Learning jobs in Los Angeles,CA?
The yearly salary range is $65000 - $208700.
The yearly salary range is $65000 - $208700.
