ZipRecruiter

Log In

2

Remote Computer Science Fresh Graduate Jobs in Palmdale, CA

Zoo

Senior Software Engineer, Frontend

Los Angeles, CA · On-site +1

$145K - $195K/yr

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... S. in Computer Science or a related field, or equivalent professional experience * Substantial ...

IQVIA

Pharmacy Quality Assurance Analyst

Los Angeles, CA · Remote

$48K - $120K/yr

Bachelor's Degree Computer Science, a related field or equivalent experience Req * Two (2) or more ... is a remote/WFH position currently open to Internal Employees currently residing in the United ...

StudyGate, Inc.

Expert Tutor

Pasadena, CA · On-site +1

$18 - $35/hr

Computer Science (C++, Java, C#, Database, Web Design) * Economics * Electrical Engineering ... A GTA position or TA position in a Master's program (preferred) Additional Information Remote work ...

Spokeo

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

$171K - $207K/yr

A Bachelor's degree in Computer Science, Information Systems, Analytics, Statistics, Applied Math ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Qvest US

Senior Manager

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Consultant - Applied AI

Los Angeles, CA · On-site +1

Bachelor's degree in engineering, information systems, computer science, business administration ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Jacoby & Meyers

Salesforce Developer

Los Angeles, CA · Remote

$90K - $150K/yr

Bachelor's degree in software engineering, computer Science or a related field * 3-5 years of ... Remote Positions About J&M: Jacoby & Meyers was founded in 1972 with the intention of making the ...

previous page

Showing results 41-60

All JobsComputer Science Fresh Graduate JobsRemote Computer Science Fresh Graduate JobsRemote Computer Science Fresh Graduate Jobs in Palmdale, CA

Remote Computer Science Fresh Graduate information

What are the key skills and qualifications needed to thrive as a remote computer science fresh graduate?

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What is a remote computer science fresh graduate?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.

What are some common challenges remote computer science fresh graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.
What are popular job titles related to Remote Computer Science Fresh Graduate jobs in Palmdale, CA? For Remote Computer Science Fresh Graduate jobs in Palmdale, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Fresh Graduate jobs in Palmdale, CA look for? The top searched job categories for Remote Computer Science Fresh Graduate jobs in Palmdale, CA are:
What cities near Palmdale, CA are hiring for Remote Computer Science Fresh Graduate jobs? Cities near Palmdale, CA with the most Remote Computer Science Fresh Graduate job openings:
Remote Computer Science Fresh Graduate jobs near you

Senior Machine Learning Engineer

Career Renew

Los Angeles, CA • Remote

$165K - $225K/yr

Full-time

Re-posted 18 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.