diff --git a/ci/travis/install-dependencies.sh b/ci/travis/install-dependencies.sh
index 542f183c5..af920c48a 100755
--- a/ci/travis/install-dependencies.sh
+++ b/ci/travis/install-dependencies.sh
@@ -53,7 +53,7 @@ if [[ "$PYTHON" == "3.6" ]] && [[ "$platform" == "linux" ]]; then
     opencv-python-headless pyyaml pandas==0.24.2 requests \
     feather-format lxml openpyxl xlrd py-spy pytest-timeout networkx tabulate aiohttp \
     uvicorn dataclasses pygments werkzeug kubernetes flask grpcio pytest-sugar pytest-rerunfailures pytest-asyncio \
-    blist scikit-learn
+    blist scikit-learn numba
 elif [[ "$PYTHON" == "3.6" ]] && [[ "$platform" == "macosx" ]]; then
   # Install miniconda.
   wget -q https://repo.continuum.io/miniconda/Miniconda3-4.5.4-MacOSX-x86_64.sh -O miniconda.sh -nv
@@ -64,7 +64,7 @@ elif [[ "$PYTHON" == "3.6" ]] && [[ "$platform" == "macosx" ]]; then
     opencv-python-headless pyyaml pandas==0.24.2 requests \
     feather-format lxml openpyxl xlrd py-spy pytest-timeout networkx tabulate aiohttp \
     uvicorn dataclasses pygments werkzeug kubernetes flask grpcio pytest-sugar pytest-rerunfailures pytest-asyncio \
-    blist scikit-learn
+    blist scikit-learn numba
 elif [[ "$LINT" == "1" ]]; then
   sudo apt-get update
   sudo apt-get install -y build-essential curl unzip
diff --git a/python/ray/tests/BUILD b/python/ray/tests/BUILD
index 448176474..96a844c00 100644
--- a/python/ray/tests/BUILD
+++ b/python/ray/tests/BUILD
@@ -383,3 +383,11 @@ py_test(
     tags = ["exclusive"],
     deps = ["//:ray_lib"],
 )
+
+py_test(
+    name = "test_numba",
+    size = "small",
+    srcs = ["test_numba.py"],
+    tags = ["exclusive"],
+    deps = ["//:ray_lib"],
+)
diff --git a/python/ray/tests/test_numba.py b/python/ray/tests/test_numba.py
new file mode 100644
index 000000000..d9a87ffb6
--- /dev/null
+++ b/python/ray/tests/test_numba.py
@@ -0,0 +1,37 @@
+import unittest
+
+from numba import njit
+import numpy as np
+
+import ray
+
+
+@njit(fastmath=True)
+def centroid(x, y):
+    return ((x / x.sum()) * y).sum()
+
+
+# Define a wrapper to call centroid function
+@ray.remote
+def centroid_wrapper(x, y):
+    return centroid(x, y)
+
+
+class NumbaTest(unittest.TestCase):
+    def setUp(self):
+        ray.init(num_cpus=1)
+
+    def tearDown(self):
+        ray.shutdown()
+
+    def test_numba_njit(self):
+        x = np.random.random(10)
+        y = np.random.random(1)
+        result = ray.get(centroid_wrapper.remote(x, y))
+        assert result == centroid(x, y)
+
+
+if __name__ == "__main__":
+    import pytest
+    import sys
+    sys.exit(pytest.main(["-v", __file__]))