Search for Machine Learning Engineer roles in San Diego, specifically for full-time positions, with 2-5 years of experience, focusing on the environmental devices industry, and requiring expertise in TensorFlow and data manipulation.

Okay, I've searched for Machine Learning Engineer roles in San Diego for full-time positions, with 2-5 years of experience, within the environmental devices industry, and requiring expertise in TensorFlow and data manipulation. I have found 67 positions for you.

Machine Learning Engineer

San Diego, CA

Full Time

Intermediate

Environmental Devices

TensorFlow

Data Manipulation

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of a Machine Learning Engineer at Lensa is fundamentally to innovate at the intersection of technology and user needs, developing complex algorithms and models that derive actionable insights from data. This position will require collaboration across various disciplines, emphasizing the importance of cross-functional coordination. The Engineer will need to engage deeply with the nuances of machine learning frameworks and data manipulation while also addressing challenges related to improving model performance and selecting the appropriate algorithms for diverse tasks. Success in this role will likely revolve around the ability to create effective models that fulfill business goals while being adaptable to the fast-paced and continually evolving nature of this innovative environment. Key responsibilities will also include direct contributions to product development in the environmental devices industry, highlighting the need for a candidate who can blend technical acumen with market awareness.

Company Analysis:

Lensa occupies a rapidly evolving space in the job search and recruitment technology sector, distinguishing itself through its application of machine learning to streamline the hiring process. As a relatively new player, founded in 2016, Lensa is positioned as an innovative disruptor rather than a traditional market leader. This startup mentality suggests a culture that values flexibility, creativity, and an intrinsic motivation among its employees. The company promotes a collaborative atmosphere while emphasizing values such as prudent optimism and commitment to desired outcomes over ego-driven behavior. The Machine Learning Engineer will likely be part of a dynamic team that works closely with leadership, contributing directly to the development of solutions that enhance both candidate experience and talent acquisition efficiency. This role is strategically important to Lensa's ambition to refine its offerings and expand its market reach, making it a critical hire in the company's growth trajectory.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Describe a time when you had to troubleshoot a machine learning model that wasn't performing as expected. What steps did you take?
Can you explain how you would select an appropriate model for a particular task? What factors do you consider essential?
Tell me about a project where you worked cross-functionally. What was your role and the outcome of the collaboration?
How do you stay updated with the latest trends and developments in machine learning?
Imagine you are tasked with improving an existing model that is underperforming. What process would you follow to enhance its performance?
What experience do you have with feature engineering, specifically for unconventional classification models?
How would you approach a scenario where you need to integrate multiple data sources for a hybrid model?
Why are you interested in developing machine learning solutions for the environmental devices industry?
What do you believe are the key metrics to gauge the success of a machine learning project?
In your opinion, what role does user experience play in the deployment of machine learning models?
What strategies do you use for model optimization and hyperparameter tuning?
What questions do you have regarding Lensa’s approach to its employee development and growth opportunities?
How do you think your background in machine learning will help Lensa achieve its goal of transforming the job search process?

Job Details

Overview Company

Machine Learning Engineer

Lensa

a month ago

Highlight

OnsiteContractor2-5 yearsMid

Summary

Lensa is seeking a Machine Learning Engineer for Unlimit Ventures in San Diego, CA. The role involves developing cutting-edge models and algorithms to transform data into actionable insights.

About the Role

As a Machine Learning Engineer, you will collaborate with cross-functional teams, work on challenging projects, and contribute to building new products in the environmental devices industry. This contractor role offers strong opportunities for permanent hiring and growth.

About You

Required:

2 to 5 years relevant industry experience with Machine Learning, Statistics, Data Engineering, or similar.
Expertise in ML frameworks and common ML libraries (TensorFlow, Keras, PyTorch, etc.).
Expertise in data manipulation and analysis skills, comfortable with affiliated libraries (Pandas, NumPy, SciPy, etc.).
Understanding of a wide range of ML algorithms (SVMs, neural networks, clustering algorithms, etc.) and ensemble methods.
Experience with selecting appropriate models for various tasks and improving models based on performance evaluations.
Expertise in feature selection, feature extraction, and feature engineering.
Deep learning expertise, including designing and implementing multiple neural network architectures, transfer learning techniques, and tuning hyperparameters.
Data science skills, including data analytics and visualization.

Preferred:

Experience with device development and robotics.
Strong understanding of data structures or algorithms.
Familiarity with hybrid models that integrate multiple data sources.
Experience with FCNNs (fully connected neural networks) and pre-trained CNNs.
Comfortable with feature engineering, especially for unconventional classification models.
Experience with a wide range of modeling approaches such as SVMs and clustering algorithms.
Experience taking ideas from inception to launch.
Understanding of product market fit, user experience, analytics, metrics, and testing.
Experience working with highly scalable, fault-tolerant, secure, and compliant architecture and systems.
Strong communication skills and bias for action.
Familiarity with holographic data processing.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

San Diego, CA