Info Way Solutions LLC
AL/ML Engineer
San Francisco, California, US
Role snapshot
Info Way Solutions LLC is hiring a AL/ML Engineer on a full-time basis. This is a role based in San Francisco, California, US.
- Company
- Info Way Solutions LLC
- Location
- San Francisco, California, US
- Job type
- Full-time
- Experience
- 2+ years
- Posted
- Oct 31, 2026
Who this role suits
People with roughly one to three years of experience who can own small pieces of work with light guidance and want to widen their scope.
How to prepare your application
- Prepare two or three stories about work you owned end to end, including one thing that went wrong and what you changed.
- Read what Info Way Solutions LLC publishes about its product or team, so you can say clearly why this role and this company.
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About the role
Job Description Job Description
AL/ML Engineer
Santa Clara, CA
FT Role
This opportunity is an ideal role for those seeking to build and deploy machine learning models at scale, and thrives in an environment where research translates rapidly into real-world systems.
Key Responsibilities:
Qualifications:
Direct Hire positions: They want local candidates to bay area. Preferred colleges are MIT, California Berkley, Santa Clara, Stanford, California State, Harvey Mudd, SF University. Jr to Mid level experience but looking for top of the class candidates.
AL/ML Engineer
Santa Clara, CA
FT Role
This opportunity is an ideal role for those seeking to build and deploy machine learning models at scale, and thrives in an environment where research translates rapidly into real-world systems.
Key Responsibilities:
- Design, train, and deploy machine learning models for production use at scale.
- Work on LLM-based systems - from fine tuning to building agents and evaluation pipelines.
- Collaborate with engineers and product teams to scope problems, define success metrics, and build robust evaluation frameworks.
- Mitigate LLM challenges: address biases, hallucinations, and knowledge cutoff limitations to improve trust and performance.
- Optimize models for latency, accuracy, and scalability in real-world applications.
- Contribute to end-to-end product development - from research to deployment to iteration.
Qualifications:
- 2 years of experience in Machine Learning and/or Data Science, with a track record of shipping ML systems into production.
- Strong understanding of Machine Learning and Deep Learning libraries, such as Scikit Learn, Keras, TensorFlow, PyTorch, Theano, or DyLib
- Deep expertise in at least one of: the following:
- Search / retrieval / ranking or recommendation systems
- Generative AI product development (shipping beyond demos, building evals, problem scoping)
- LLM agent products
- LLM fine tuning
- Practical understanding of LLM limitations (bias, hallucinations, knowledge cutoffs).
- Experience working at an early-stage startup or on 0 1 product launches.
- Comfort with both research prototyping and production-grade engineering.
Direct Hire positions: They want local candidates to bay area. Preferred colleges are MIT, California Berkley, Santa Clara, Stanford, California State, Harvey Mudd, SF University. Jr to Mid level experience but looking for top of the class candidates.