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Remote Computer Science New Grad Jobs in Santa Clara, CA

Vianai Systems

Full Stack Developer (Remote)

Palo Alto, CA · Remote

$110K - $160K/yr

Mentor engineers to develop new skills and grow professionally. Qualifications: * BS in Computer Science or equivalent education/experience. * 3-5 years experience with web application development ...

Qualcomm

RISC-V Software Engineer

Santa Clara, CA · On-site +1

You will play a critical role in defining the architecture, enabling new hardware features, and ... PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of ...

Eitacies Inc

Sr Staff PSIRT Engineer

Santa Clara, CA · Remote

$60 - $70/hr

Education: * BS or MS Degree in Computer Science, Engineering, or Cybersecurity. * 4+ years of experience in product security, application security, or vulnerability research. This is a remote ...

Biohub

Research Scientist, AI

Redwood City, CA · On-site +1

$214K - $375K/yr

PhD in computer science or a related field, or equivalent experience * Significant experience ... City, NY base pay range for a role in this field is $214,000 to $375,000 annually. Final ...

Inficare Technologies

GPU Solution Architect

Santa Clara, CA · On-site +1

$74 - $97.50/hr

... in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent ... Additional remote locations accepted in WA, OR, and TX. Occasional onsite visits to the client ...

Infotech Sourcing

Network Engineer IV

Fremont, CA · On-site +1

Remote Summary: The main function of a network engineer is to determine user requirements and ... Education/Experience: • Bachelor's degree in computer science or a related field required.

EPSoft Technologies

Andriod Developer

Sunnyvale, CA · Remote

$57 - $75/hr

Sunnyvale, CA (Remote) - Look for nearby location candidates those candidates will be given first ... Bachelor's Degree in Computer Science or related field and 5+ years of experience building scalable ...

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Staff Research Scientist, AdTech Product Innovation

Cognitiv

San Mateo, CA • On-site, Remote

$200K - $270K/yr

Full-time

Re-posted yesterday

Job description

The Role

We are seeking a Staff Research Scientist who can drive innovation through deep technical expertise and hands-on execution. You'll contribute to cutting-edge research in deep learning and LLMs while advancing Cognitiv's real-time bidding and recommendation systems at production scale. This role sits at the intersection of applied research and high-performance machine learning systems.

Location: This position will be located in Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

What You'll Do
  • Drive Research & Innovation. Design, prototype, and evaluate advanced machine learning and deep learning approaches, with a focus on recommendation systems, real-time bidding, and LLM-driven applications.
  • Stay Hands-On. Contribute directly through coding, experimentation, model development, and technical problem-solving across the full ML lifecycle.
  • Advance AdTech Performance. Improve model accuracy, scalability, and efficiency to drive ad targeting, bidding performance, and audience relevance.
  • Build Production-Ready ML Systems. Partner closely with engineering and infrastructure teams to deploy, optimize, and monitor machine learning models in large-scale production environments.
  • Explore Emerging Technologies. Stay current with advancements in deep learning, transformers, and LLM research, identifying practical opportunities to apply new techniques within Cognitiv's platform.
  • Collaborate Cross-Functionally. Work closely with data science, engineering, product, and platform teams to solve complex technical challenges and deliver impactful ML solutions.
  • Contribute Technical Expertise. Provide thoughtful technical input through design discussions, experimentation reviews, and collaboration with other researchers and engineers.
Tech Stack
  • Core Tools - Python, PyTorch, deep learning architectures (transformers, recommendation models).
  • Traditional ML - XGBoost, PCA.
  • Big Data / Infra - Spark, Hadoop, distributed training systems.
  • Cloud Platforms - AWS, GCP, or Azure.
  • Bonus - C++.
Who You Are
  • Experienced ML Researcher/Engineer: Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with 5-7+ years of experience in machine learning R&D or applied ML.
  • Deep Learning & LLM Expertise: Strong technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large-scale training, fine-tuning, and optimization of deep neural networks.
  • Machine Learning Breadth: Strong understanding of both deep learning and traditional ML techniques (e.g., XGBoost, PCA), with the ability to apply the right approach to the right problem.
  • Engineering Excellence: Proficiency in Python with strong foundations in algorithms, data structures, and software engineering principles; experience building models in real-time, high-throughput systems (e.g., recommender systems, adtech).
  • Production Experience: Hands-on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark).
  • Collaborative Communicator: Strong written and verbal communication skills with the ability to work effectively across research and engineering teams in a fast-paced environment.
Bonus Points If You Have
  • AdTech & RTB Experience. Prior exposure to advertising technology and real-time bidding (RTB) systems is a strong plus.
  • Distributed Systems & Cloud. Familiarity with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
  • C++ Skills. Strong C++ programming ability is a significant advantage alongside Python expertise.
  • Research & Community Impact. A track record of published research or meaningful contributions to the machine learning community.
  • Bridging Research and Production. Experience translating research ideas into scalable, production-grade machine learning systems.

Salary: $200,000 - $270,000 USD Base Salary + Equity

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